Advances in imaging instrumentation for nuclear cardiology View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-07-17

AUTHORS

Jae Sung Lee, Gil Kovalski, Tali Sharir, Dong Soo Lee

ABSTRACT

Advances in imaging instrumentation and technology have greatly contributed to nuclear cardiology. Dedicated cardiac SPECT cameras incorporating novel, highly efficient detector, collimator, and system designs have emerged with the expansion of nuclear cardiology. Solid-state radiation detectors incorporating cadmium zinc telluride, which directly convert radiation to electrical signals and yield improved energy resolution and spatial resolution and enhanced count sensitivity geometries, are increasingly gaining favor as the detector of choice for application in dedicated cardiac SPECT systems. Additionally, hybrid imaging systems in which SPECT and PET are combined with X-ray CT are currently widely used, with PET/MRI hybrid systems having also been recently introduced. The improved quantitative SPECT/CT has the potential to measure the absolute quantification of myocardial blood flow and flow reserve. Rapid development of silicon photomultipliers leads to enhancement in PET image quality and count rates. In addition, the reduction of emission–transmission mismatch artifacts via application of accurate time-of-flight information, and cardiac motion de-blurring aided by anatomical images, are emerging techniques for further improvement of cardiac PET. This article reviews recent advances such as these in nuclear cardiology imaging instrumentation and technology, and the corresponding diagnostic benefits. More... »

PAGES

543-556

References to SciGraph publications

  • 2015-04-14. Precision and accuracy of clinical quantification of myocardial blood flow by dynamic PET: A technical perspective in JOURNAL OF NUCLEAR CARDIOLOGY
  • 2014-10-09. Absolute myocardial blood flow quantification with SPECT/CT: Is it possible? in JOURNAL OF NUCLEAR CARDIOLOGY
  • 2016-07-13. Recent Advances in Nuclear Cardiology in NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2016-04-26. Recent Advances in the Development of PET/SPECT Probes for Atherosclerosis Imaging in NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2015-02-20. Feasibility of [18F]-RGD for ex vivo imaging of atherosclerosis in detection of αvβ3 integrin expression in JOURNAL OF NUCLEAR CARDIOLOGY
  • 2015-05-27. Comparison of the diagnostic accuracies of very low stress-dose with standard-dose myocardial perfusion imaging: Automated quantification of one-day, stress-first SPECT using a CZT camera in JOURNAL OF NUCLEAR CARDIOLOGY
  • 2009-08-18. Novel solid-state-detector dedicated cardiac camera for fast myocardial perfusion imaging: multicenter comparison with standard dual detector cameras in JOURNAL OF NUCLEAR CARDIOLOGY
  • 2015-07-02. Comparative analysis of cadmium-zincum-telluride cameras dedicated to myocardial perfusion SPECT: A phantom study in JOURNAL OF NUCLEAR CARDIOLOGY
  • 2007-07. Clinical results of a novel wide beam reconstruction method for shortening scan time of Tc-99m cardiac SPECT perfusion studies in JOURNAL OF NUCLEAR CARDIOLOGY
  • 2014-08-21. Quantitation of myocardial blood flow and myocardial flow reserve with 99mTc-sestamibi dynamic SPECT/CT to enhance detection of coronary artery disease in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2014-10-14. Are SPECT measurements of myocardial blood flow and flow reserve ready for clinical use? in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2016-02-16. Recent developments in time-of-flight PET in EJNMMI PHYSICS
  • 2016-01-26. PET/MRI: Technical Challenges and Recent Advances in NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2013-06-05. High-efficiency SPECT MPI: Comparison of automated quantification, visual interpretation, and coronary angiography in JOURNAL OF NUCLEAR CARDIOLOGY
  • 2010-06-29. A fast cardiac gamma camera with dynamic SPECT capabilities: design, system validation and future potential in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2009-01-22. Dual “motion-frozen heart” combining respiration and contraction compensation in clinical myocardial perfusion SPECT imaging in JOURNAL OF NUCLEAR CARDIOLOGY
  • 2015-08-15. Simultaneous reconstruction of attenuation and activity in cardiac PET can remove CT misalignment artifacts in JOURNAL OF NUCLEAR CARDIOLOGY
  • 2016-02-22. Instrumentation for Time-of-Flight Positron Emission Tomography in NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2014-10-04. Feasibility and operator variability of myocardial blood flow and reserve measurements with 99mTc-sestamibi quantitative dynamic SPECT/CT imaging in JOURNAL OF NUCLEAR CARDIOLOGY
  • 2013-12-07. The influence of coronary calcium score on the interpretation of myocardial perfusion imaging in JOURNAL OF NUCLEAR CARDIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s12350-017-0979-8

    DOI

    http://dx.doi.org/10.1007/s12350-017-0979-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1090742699

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/28718074


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1102", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Cardiorespiratory Medicine and Haematology", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Algorithms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Animals", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cadmium", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cardiology", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Coronary Vessels", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Image Processing, Computer-Assisted", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Kinetics", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Magnetic Resonance Imaging", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Motion", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Multimodal Imaging", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Myocardial Perfusion Imaging", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Nonlinear Dynamics", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Nuclear Medicine", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Positron-Emission Tomography", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Radiation Dosage", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Semiconductors", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Silicon", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Single Photon Emission Computed Tomography Computed Tomography", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Tellurium", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Tomography, Emission-Computed, Single-Photon", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Zinc", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea", 
              "id": "http://www.grid.ac/institutes/grid.31501.36", 
              "name": [
                "Department of Nuclear Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, 110-799, Seoul, Korea", 
                "Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lee", 
            "givenName": "Jae Sung", 
            "id": "sg:person.0677005044.62", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677005044.62"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "General Electric Healthcare, Haifa, Israel", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "General Electric Healthcare, Haifa, Israel"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kovalski", 
            "givenName": "Gil", 
            "id": "sg:person.01367746544.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367746544.13"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel", 
              "id": "http://www.grid.ac/institutes/grid.7489.2", 
              "name": [
                "Department of Nuclear Cardiology, Assuta Medical Centers, 96 Igal Alon, C Building, 67891, Tel Aviv, Israel", 
                "Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sharir", 
            "givenName": "Tali", 
            "id": "sg:person.01247406340.26", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01247406340.26"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Suwon, Korea", 
              "id": "http://www.grid.ac/institutes/grid.31501.36", 
              "name": [
                "Department of Nuclear Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, 110-799, Seoul, Korea", 
                "Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Suwon, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lee", 
            "givenName": "Dong Soo", 
            "id": "sg:person.015617314175.88", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015617314175.88"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s12350-015-0130-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031379050", 
              "https://doi.org/10.1007/s12350-015-0130-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13139-016-0433-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017054252", 
              "https://doi.org/10.1007/s13139-016-0433-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12350-008-9034-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001221037", 
              "https://doi.org/10.1007/s12350-008-9034-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12350-015-0100-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006566086", 
              "https://doi.org/10.1007/s12350-015-0100-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13139-016-0393-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007618756", 
              "https://doi.org/10.1007/s13139-016-0393-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1016/j.nuclcard.2007.04.022", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002590099", 
              "https://doi.org/10.1016/j.nuclcard.2007.04.022"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12350-013-9825-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012470681", 
              "https://doi.org/10.1007/s12350-013-9825-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12350-014-9971-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044000661", 
              "https://doi.org/10.1007/s12350-014-9971-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12350-009-9137-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004940899", 
              "https://doi.org/10.1007/s12350-009-9137-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12350-014-0061-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049788942", 
              "https://doi.org/10.1007/s12350-014-0061-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12350-015-0239-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048765116", 
              "https://doi.org/10.1007/s12350-015-0239-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-010-1488-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016336823", 
              "https://doi.org/10.1007/s00259-010-1488-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12350-015-0203-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013285628", 
              "https://doi.org/10.1007/s12350-015-0203-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-014-2924-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023057640", 
              "https://doi.org/10.1007/s00259-014-2924-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13139-016-0401-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020075092", 
              "https://doi.org/10.1007/s13139-016-0401-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13139-016-0418-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030718900", 
              "https://doi.org/10.1007/s13139-016-0418-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-014-2881-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006404706", 
              "https://doi.org/10.1007/s00259-014-2881-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40658-016-0138-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008175278", 
              "https://doi.org/10.1186/s40658-016-0138-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12350-013-9735-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022486038", 
              "https://doi.org/10.1007/s12350-013-9735-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12350-014-0002-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039580289", 
              "https://doi.org/10.1007/s12350-014-0002-6"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2017-07-17", 
        "datePublishedReg": "2017-07-17", 
        "description": "Advances in imaging instrumentation and technology have greatly contributed to nuclear cardiology. Dedicated cardiac SPECT cameras incorporating novel, highly efficient detector, collimator, and system designs have emerged with the expansion of nuclear cardiology. Solid-state radiation detectors incorporating cadmium zinc telluride, which directly convert radiation to electrical signals and yield improved energy resolution and spatial resolution and enhanced count sensitivity geometries, are increasingly gaining favor as the detector of choice for application in dedicated cardiac SPECT systems. Additionally, hybrid imaging systems in which SPECT and PET are combined with X-ray CT are currently widely used, with PET/MRI hybrid systems having also been recently introduced. The improved quantitative SPECT/CT has the potential to measure the absolute quantification of myocardial blood flow and flow reserve. Rapid development of silicon photomultipliers leads to enhancement in PET image quality and count rates. In addition, the reduction of emission\u2013transmission mismatch artifacts via application of accurate time-of-flight information, and cardiac motion de-blurring aided by anatomical images, are emerging techniques for further improvement of cardiac PET. This article reviews recent advances such as these in nuclear cardiology imaging instrumentation and technology, and the corresponding diagnostic benefits.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s12350-017-0979-8", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1106202", 
            "issn": [
              "1071-3581", 
              "1532-6551"
            ], 
            "name": "Journal of Nuclear Cardiology", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "26"
          }
        ], 
        "keywords": [
          "solid-state radiation detectors", 
          "detector of choice", 
          "hybrid imaging system", 
          "cadmium zinc telluride", 
          "cardiac SPECT system", 
          "radiation detectors", 
          "energy resolution", 
          "dedicated cardiac SPECT camera", 
          "silicon photomultipliers", 
          "X-ray CT", 
          "dedicated cardiac SPECT systems", 
          "PET/MRI hybrid systems", 
          "count rate", 
          "efficient detectors", 
          "PET image quality", 
          "zinc telluride", 
          "imaging system", 
          "detector", 
          "spatial resolution", 
          "flight information", 
          "SPECT system", 
          "nuclear cardiology", 
          "accurate time", 
          "electrical signals", 
          "image quality", 
          "photomultipliers", 
          "SPECT camera", 
          "instrumentation", 
          "resolution", 
          "hybrid system", 
          "cardiac motion", 
          "collimator", 
          "anatomical images", 
          "system design", 
          "radiation", 
          "quantitative SPECT/CT", 
          "cardiac PET", 
          "telluride", 
          "further improvement", 
          "motion", 
          "technology", 
          "rapid development", 
          "geometry", 
          "enhancement", 
          "applications", 
          "camera", 
          "system", 
          "signals", 
          "flow", 
          "recent advances", 
          "design", 
          "images", 
          "technique", 
          "potential", 
          "expansion", 
          "advances", 
          "PET", 
          "artifacts", 
          "reduction", 
          "absolute quantification", 
          "improvement", 
          "SPECT/CT", 
          "time", 
          "addition", 
          "SPECT", 
          "quantification", 
          "rate", 
          "quality", 
          "novel", 
          "diagnostic benefit", 
          "information", 
          "development", 
          "CT", 
          "reserves", 
          "benefits", 
          "choice", 
          "article", 
          "favor", 
          "blood flow", 
          "cardiology", 
          "myocardial blood flow"
        ], 
        "name": "Advances in imaging instrumentation for nuclear cardiology", 
        "pagination": "543-556", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1090742699"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s12350-017-0979-8"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "28718074"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s12350-017-0979-8", 
          "https://app.dimensions.ai/details/publication/pub.1090742699"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-11-24T21:01", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221124/entities/gbq_results/article/article_725.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s12350-017-0979-8"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12350-017-0979-8'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12350-017-0979-8'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12350-017-0979-8'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12350-017-0979-8'


     

    This table displays all metadata directly associated to this object as RDF triples.

    341 TRIPLES      21 PREDICATES      147 URIs      119 LITERALS      29 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s12350-017-0979-8 schema:about N26abba2495684047b45423a0c2c55d4f
    2 N30ef9393ec784c8eb117470da82be705
    3 N34569b3be20e411191d8e963516ac250
    4 N4127fb0f0f734af28ded686f7413bf96
    5 N50aa0c78570346ea8110a9fdaa9c4478
    6 N5e8491dbb3fb4892a31f91acd20198cc
    7 N69110fcd678d45bc8e2d0e9155ce7047
    8 N6c853b48ddcd4ab4914c617a04491f9f
    9 N73b0eea8027441d081e08321e5e19c6a
    10 N751a07c8b05746b79f1aad9b57c3e5cc
    11 N7545c5f20dd345e19cdfea9462568c48
    12 N83940e80c51c408289a1e22def66a998
    13 N923c1ff5d3af40f5aeacf1b7af2f319f
    14 N9d78c5d2d0d64c44937aed98187084ca
    15 Na34c486026934e5eae2571bdd630015a
    16 Na8340ae71e5d455c9c9a7d2d59d43dce
    17 Na9d62be1d6944c579c1585006cd205e9
    18 Nc8c47e560e7747a9b6ea8acf72af65fa
    19 Nd1bf8becd56f45ff9f33613da8d8135e
    20 Nd5a6ecaa216b4bfb8f408d9c0c2df5b7
    21 Nef5967baebc646919d148442bb6dff51
    22 Nf21ab052f7814d11ad4a19ef3def7695
    23 anzsrc-for:11
    24 anzsrc-for:1102
    25 schema:author N4120c23fabed459999e66f910cd1016d
    26 schema:citation sg:pub.10.1007/s00259-010-1488-z
    27 sg:pub.10.1007/s00259-014-2881-9
    28 sg:pub.10.1007/s00259-014-2924-2
    29 sg:pub.10.1007/s12350-008-9034-0
    30 sg:pub.10.1007/s12350-009-9137-2
    31 sg:pub.10.1007/s12350-013-9735-x
    32 sg:pub.10.1007/s12350-013-9825-9
    33 sg:pub.10.1007/s12350-014-0002-6
    34 sg:pub.10.1007/s12350-014-0061-8
    35 sg:pub.10.1007/s12350-014-9971-8
    36 sg:pub.10.1007/s12350-015-0100-0
    37 sg:pub.10.1007/s12350-015-0130-7
    38 sg:pub.10.1007/s12350-015-0203-7
    39 sg:pub.10.1007/s12350-015-0239-8
    40 sg:pub.10.1007/s13139-016-0393-1
    41 sg:pub.10.1007/s13139-016-0401-5
    42 sg:pub.10.1007/s13139-016-0418-9
    43 sg:pub.10.1007/s13139-016-0433-x
    44 sg:pub.10.1016/j.nuclcard.2007.04.022
    45 sg:pub.10.1186/s40658-016-0138-3
    46 schema:datePublished 2017-07-17
    47 schema:datePublishedReg 2017-07-17
    48 schema:description Advances in imaging instrumentation and technology have greatly contributed to nuclear cardiology. Dedicated cardiac SPECT cameras incorporating novel, highly efficient detector, collimator, and system designs have emerged with the expansion of nuclear cardiology. Solid-state radiation detectors incorporating cadmium zinc telluride, which directly convert radiation to electrical signals and yield improved energy resolution and spatial resolution and enhanced count sensitivity geometries, are increasingly gaining favor as the detector of choice for application in dedicated cardiac SPECT systems. Additionally, hybrid imaging systems in which SPECT and PET are combined with X-ray CT are currently widely used, with PET/MRI hybrid systems having also been recently introduced. The improved quantitative SPECT/CT has the potential to measure the absolute quantification of myocardial blood flow and flow reserve. Rapid development of silicon photomultipliers leads to enhancement in PET image quality and count rates. In addition, the reduction of emission–transmission mismatch artifacts via application of accurate time-of-flight information, and cardiac motion de-blurring aided by anatomical images, are emerging techniques for further improvement of cardiac PET. This article reviews recent advances such as these in nuclear cardiology imaging instrumentation and technology, and the corresponding diagnostic benefits.
    49 schema:genre article
    50 schema:isAccessibleForFree false
    51 schema:isPartOf N5ae9a72d27b34bc296aba40e60fa29a9
    52 Nb36327f4e6c54857897ec6941e3119ad
    53 sg:journal.1106202
    54 schema:keywords CT
    55 PET
    56 PET image quality
    57 PET/MRI hybrid systems
    58 SPECT
    59 SPECT camera
    60 SPECT system
    61 SPECT/CT
    62 X-ray CT
    63 absolute quantification
    64 accurate time
    65 addition
    66 advances
    67 anatomical images
    68 applications
    69 article
    70 artifacts
    71 benefits
    72 blood flow
    73 cadmium zinc telluride
    74 camera
    75 cardiac PET
    76 cardiac SPECT system
    77 cardiac motion
    78 cardiology
    79 choice
    80 collimator
    81 count rate
    82 dedicated cardiac SPECT camera
    83 dedicated cardiac SPECT systems
    84 design
    85 detector
    86 detector of choice
    87 development
    88 diagnostic benefit
    89 efficient detectors
    90 electrical signals
    91 energy resolution
    92 enhancement
    93 expansion
    94 favor
    95 flight information
    96 flow
    97 further improvement
    98 geometry
    99 hybrid imaging system
    100 hybrid system
    101 image quality
    102 images
    103 imaging system
    104 improvement
    105 information
    106 instrumentation
    107 motion
    108 myocardial blood flow
    109 novel
    110 nuclear cardiology
    111 photomultipliers
    112 potential
    113 quality
    114 quantification
    115 quantitative SPECT/CT
    116 radiation
    117 radiation detectors
    118 rapid development
    119 rate
    120 recent advances
    121 reduction
    122 reserves
    123 resolution
    124 signals
    125 silicon photomultipliers
    126 solid-state radiation detectors
    127 spatial resolution
    128 system
    129 system design
    130 technique
    131 technology
    132 telluride
    133 time
    134 zinc telluride
    135 schema:name Advances in imaging instrumentation for nuclear cardiology
    136 schema:pagination 543-556
    137 schema:productId N061830da3e0541ce92e31607a01db88a
    138 N74fb3493f3bd4a149cac1179c9c526d4
    139 Nf52ccc2c2ec14454bb5dd21a47ea26f8
    140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090742699
    141 https://doi.org/10.1007/s12350-017-0979-8
    142 schema:sdDatePublished 2022-11-24T21:01
    143 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    144 schema:sdPublisher N0e956cd56575430cb9f41932f301e91e
    145 schema:url https://doi.org/10.1007/s12350-017-0979-8
    146 sgo:license sg:explorer/license/
    147 sgo:sdDataset articles
    148 rdf:type schema:ScholarlyArticle
    149 N061830da3e0541ce92e31607a01db88a schema:name dimensions_id
    150 schema:value pub.1090742699
    151 rdf:type schema:PropertyValue
    152 N0e956cd56575430cb9f41932f301e91e schema:name Springer Nature - SN SciGraph project
    153 rdf:type schema:Organization
    154 N26abba2495684047b45423a0c2c55d4f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    155 schema:name Cadmium
    156 rdf:type schema:DefinedTerm
    157 N30ef9393ec784c8eb117470da82be705 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    158 schema:name Zinc
    159 rdf:type schema:DefinedTerm
    160 N34569b3be20e411191d8e963516ac250 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    161 schema:name Coronary Vessels
    162 rdf:type schema:DefinedTerm
    163 N4120c23fabed459999e66f910cd1016d rdf:first sg:person.0677005044.62
    164 rdf:rest Neb31acc151b044888a16dc2a06af4d90
    165 N4127fb0f0f734af28ded686f7413bf96 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    166 schema:name Myocardial Perfusion Imaging
    167 rdf:type schema:DefinedTerm
    168 N50aa0c78570346ea8110a9fdaa9c4478 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    169 schema:name Tomography, Emission-Computed, Single-Photon
    170 rdf:type schema:DefinedTerm
    171 N5ae9a72d27b34bc296aba40e60fa29a9 schema:issueNumber 2
    172 rdf:type schema:PublicationIssue
    173 N5e8491dbb3fb4892a31f91acd20198cc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    174 schema:name Algorithms
    175 rdf:type schema:DefinedTerm
    176 N69110fcd678d45bc8e2d0e9155ce7047 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    177 schema:name Magnetic Resonance Imaging
    178 rdf:type schema:DefinedTerm
    179 N6c853b48ddcd4ab4914c617a04491f9f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    180 schema:name Cardiology
    181 rdf:type schema:DefinedTerm
    182 N73b0eea8027441d081e08321e5e19c6a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    183 schema:name Multimodal Imaging
    184 rdf:type schema:DefinedTerm
    185 N74fb3493f3bd4a149cac1179c9c526d4 schema:name doi
    186 schema:value 10.1007/s12350-017-0979-8
    187 rdf:type schema:PropertyValue
    188 N751a07c8b05746b79f1aad9b57c3e5cc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    189 schema:name Animals
    190 rdf:type schema:DefinedTerm
    191 N7545c5f20dd345e19cdfea9462568c48 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    192 schema:name Nonlinear Dynamics
    193 rdf:type schema:DefinedTerm
    194 N83940e80c51c408289a1e22def66a998 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    195 schema:name Humans
    196 rdf:type schema:DefinedTerm
    197 N923c1ff5d3af40f5aeacf1b7af2f319f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    198 schema:name Tellurium
    199 rdf:type schema:DefinedTerm
    200 N9d78c5d2d0d64c44937aed98187084ca schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    201 schema:name Motion
    202 rdf:type schema:DefinedTerm
    203 Na34c486026934e5eae2571bdd630015a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    204 schema:name Positron-Emission Tomography
    205 rdf:type schema:DefinedTerm
    206 Na8340ae71e5d455c9c9a7d2d59d43dce schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    207 schema:name Semiconductors
    208 rdf:type schema:DefinedTerm
    209 Na9d62be1d6944c579c1585006cd205e9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    210 schema:name Kinetics
    211 rdf:type schema:DefinedTerm
    212 Nb36327f4e6c54857897ec6941e3119ad schema:volumeNumber 26
    213 rdf:type schema:PublicationVolume
    214 Nc4f77b7f79264dde8103d28007e4dce2 rdf:first sg:person.015617314175.88
    215 rdf:rest rdf:nil
    216 Nc8c47e560e7747a9b6ea8acf72af65fa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    217 schema:name Single Photon Emission Computed Tomography Computed Tomography
    218 rdf:type schema:DefinedTerm
    219 Ncde6f0c0eb8645dab992ae1f61272513 rdf:first sg:person.01247406340.26
    220 rdf:rest Nc4f77b7f79264dde8103d28007e4dce2
    221 Nd1bf8becd56f45ff9f33613da8d8135e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    222 schema:name Nuclear Medicine
    223 rdf:type schema:DefinedTerm
    224 Nd5a6ecaa216b4bfb8f408d9c0c2df5b7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    225 schema:name Radiation Dosage
    226 rdf:type schema:DefinedTerm
    227 Neb31acc151b044888a16dc2a06af4d90 rdf:first sg:person.01367746544.13
    228 rdf:rest Ncde6f0c0eb8645dab992ae1f61272513
    229 Nef5967baebc646919d148442bb6dff51 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    230 schema:name Image Processing, Computer-Assisted
    231 rdf:type schema:DefinedTerm
    232 Nf21ab052f7814d11ad4a19ef3def7695 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    233 schema:name Silicon
    234 rdf:type schema:DefinedTerm
    235 Nf52ccc2c2ec14454bb5dd21a47ea26f8 schema:name pubmed_id
    236 schema:value 28718074
    237 rdf:type schema:PropertyValue
    238 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    239 schema:name Medical and Health Sciences
    240 rdf:type schema:DefinedTerm
    241 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
    242 schema:name Cardiorespiratory Medicine and Haematology
    243 rdf:type schema:DefinedTerm
    244 sg:journal.1106202 schema:issn 1071-3581
    245 1532-6551
    246 schema:name Journal of Nuclear Cardiology
    247 schema:publisher Springer Nature
    248 rdf:type schema:Periodical
    249 sg:person.01247406340.26 schema:affiliation grid-institutes:grid.7489.2
    250 schema:familyName Sharir
    251 schema:givenName Tali
    252 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01247406340.26
    253 rdf:type schema:Person
    254 sg:person.01367746544.13 schema:affiliation grid-institutes:None
    255 schema:familyName Kovalski
    256 schema:givenName Gil
    257 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367746544.13
    258 rdf:type schema:Person
    259 sg:person.015617314175.88 schema:affiliation grid-institutes:grid.31501.36
    260 schema:familyName Lee
    261 schema:givenName Dong Soo
    262 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015617314175.88
    263 rdf:type schema:Person
    264 sg:person.0677005044.62 schema:affiliation grid-institutes:grid.31501.36
    265 schema:familyName Lee
    266 schema:givenName Jae Sung
    267 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677005044.62
    268 rdf:type schema:Person
    269 sg:pub.10.1007/s00259-010-1488-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1016336823
    270 https://doi.org/10.1007/s00259-010-1488-z
    271 rdf:type schema:CreativeWork
    272 sg:pub.10.1007/s00259-014-2881-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006404706
    273 https://doi.org/10.1007/s00259-014-2881-9
    274 rdf:type schema:CreativeWork
    275 sg:pub.10.1007/s00259-014-2924-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023057640
    276 https://doi.org/10.1007/s00259-014-2924-2
    277 rdf:type schema:CreativeWork
    278 sg:pub.10.1007/s12350-008-9034-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001221037
    279 https://doi.org/10.1007/s12350-008-9034-0
    280 rdf:type schema:CreativeWork
    281 sg:pub.10.1007/s12350-009-9137-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004940899
    282 https://doi.org/10.1007/s12350-009-9137-2
    283 rdf:type schema:CreativeWork
    284 sg:pub.10.1007/s12350-013-9735-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1022486038
    285 https://doi.org/10.1007/s12350-013-9735-x
    286 rdf:type schema:CreativeWork
    287 sg:pub.10.1007/s12350-013-9825-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012470681
    288 https://doi.org/10.1007/s12350-013-9825-9
    289 rdf:type schema:CreativeWork
    290 sg:pub.10.1007/s12350-014-0002-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039580289
    291 https://doi.org/10.1007/s12350-014-0002-6
    292 rdf:type schema:CreativeWork
    293 sg:pub.10.1007/s12350-014-0061-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049788942
    294 https://doi.org/10.1007/s12350-014-0061-8
    295 rdf:type schema:CreativeWork
    296 sg:pub.10.1007/s12350-014-9971-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044000661
    297 https://doi.org/10.1007/s12350-014-9971-8
    298 rdf:type schema:CreativeWork
    299 sg:pub.10.1007/s12350-015-0100-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006566086
    300 https://doi.org/10.1007/s12350-015-0100-0
    301 rdf:type schema:CreativeWork
    302 sg:pub.10.1007/s12350-015-0130-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031379050
    303 https://doi.org/10.1007/s12350-015-0130-7
    304 rdf:type schema:CreativeWork
    305 sg:pub.10.1007/s12350-015-0203-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013285628
    306 https://doi.org/10.1007/s12350-015-0203-7
    307 rdf:type schema:CreativeWork
    308 sg:pub.10.1007/s12350-015-0239-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048765116
    309 https://doi.org/10.1007/s12350-015-0239-8
    310 rdf:type schema:CreativeWork
    311 sg:pub.10.1007/s13139-016-0393-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007618756
    312 https://doi.org/10.1007/s13139-016-0393-1
    313 rdf:type schema:CreativeWork
    314 sg:pub.10.1007/s13139-016-0401-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020075092
    315 https://doi.org/10.1007/s13139-016-0401-5
    316 rdf:type schema:CreativeWork
    317 sg:pub.10.1007/s13139-016-0418-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030718900
    318 https://doi.org/10.1007/s13139-016-0418-9
    319 rdf:type schema:CreativeWork
    320 sg:pub.10.1007/s13139-016-0433-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1017054252
    321 https://doi.org/10.1007/s13139-016-0433-x
    322 rdf:type schema:CreativeWork
    323 sg:pub.10.1016/j.nuclcard.2007.04.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002590099
    324 https://doi.org/10.1016/j.nuclcard.2007.04.022
    325 rdf:type schema:CreativeWork
    326 sg:pub.10.1186/s40658-016-0138-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008175278
    327 https://doi.org/10.1186/s40658-016-0138-3
    328 rdf:type schema:CreativeWork
    329 grid-institutes:None schema:alternateName General Electric Healthcare, Haifa, Israel
    330 schema:name General Electric Healthcare, Haifa, Israel
    331 rdf:type schema:Organization
    332 grid-institutes:grid.31501.36 schema:alternateName Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
    333 Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Suwon, Korea
    334 schema:name Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
    335 Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Suwon, Korea
    336 Department of Nuclear Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, 110-799, Seoul, Korea
    337 rdf:type schema:Organization
    338 grid-institutes:grid.7489.2 schema:alternateName Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
    339 schema:name Department of Nuclear Cardiology, Assuta Medical Centers, 96 Igal Alon, C Building, 67891, Tel Aviv, Israel
    340 Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
    341 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...