Dual cardiac–respiratory gated PET: implementation and results from a feasibility study View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2007-02-21

AUTHORS

Axel Martinez-Möller, Darko Zikic, René M. Botnar, Ralph A. Bundschuh, William Howe, Sibylle I. Ziegler, Nassir Navab, Markus Schwaiger, Stephan G. Nekolla

ABSTRACT

PurposeSpatial resolution in myocardial imaging is impaired by both cardiac and respiratory motion owing to motional blurring. We investigated the feasibility of a dual cardiac–respiratory gated positron emission tomography (PET) acquisition using a clinical PET/computer tomography (CT) scanner. We describe its implementation and present results on the respiratory motion observed.MethodsThe correlation between diaphragmatic excursion measured by real-time magnetic resonance imaging (MRI) and the expansion of the chest measured with an elastic belt was studied in six subjects. PET list mode acquisitions were then performed in 12 patients, six of them injected with 13N-ammonia and six with 18F-FDG. In parallel, the ECG and respiratory signals of the patients were recorded and the list mode file correspondingly sorted using a dual gated approach. Respiratory motion of the heart was quantified by measuring the displacement between the inspiratory and expiratory images in the diastolic phase by means of intensity-based non-rigid image registration.ResultsThe correlation between diaphragmatic excursion and expansion of the chest was excellent (R2 = 0.91), validating the ability of the elastic belt to provide an adequate respiratory trigger. Respiratory signals corresponding to the chest expansion showed a large inter-patient variability, requiring adapted algorithms in order to define suitable respiratory gates. Dual gated PET series were successfully acquired for both groups of patients, showing better resolved myocardial walls. The average respiratory motion of the heart measured by PET was 4.8 mm, with its largest component in the craniocaudal direction. Moreover, a deformation of the heart with respiration was observed, with the inferior wall moving significantly more than the anterior.ConclusionDual gated cardiac PET studies were performed successfully and showed better resolved myocardial walls as compared with ungated acquisitions. The respiratory motion of the heart presented a significant elastic component and was of the same magnitude as the spatial resolution of current PET cameras. More... »

PAGES

1447-1454

References to SciGraph publications

  • 2003-01-21. Respiratory motion artifacts on PET emission images obtained using CT attenuation correction on PET-CT in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2000-08. Reliable Estimation of Dense Optical Flow Fields with Large Displacements in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2006-01-17. Respiratory gating of cardiac PET data in list-mode acquisition in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2003-05. Myocardial viability assessment using nuclear imaging in ANNALS OF NUCLEAR MEDICINE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00259-007-0374-9

    DOI

    http://dx.doi.org/10.1007/s00259-007-0374-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1034213847

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/17318548


    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": "Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Animals", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Artifacts", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Feasibility Studies", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Heart", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Image Interpretation, Computer-Assisted", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Image Processing, Computer-Assisted", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Magnetic Resonance Imaging", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Male", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Middle Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Myocardium", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Positron-Emission Tomography", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Respiration", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Time Factors", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Tomography, X-Ray Computed", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "CAMP-AR, Computer Science Department, TU M\u00fcnchen, Munich, Germany", 
              "id": "http://www.grid.ac/institutes/grid.6936.a", 
              "name": [
                "Nuklearmedizinische Klinik der Technischen Universit\u00e4t M\u00fcnchen, Munich, Germany", 
                "CAMP-AR, Computer Science Department, TU M\u00fcnchen, Munich, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Martinez-M\u00f6ller", 
            "givenName": "Axel", 
            "id": "sg:person.0736407637.26", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0736407637.26"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "CAMP-AR, Computer Science Department, TU M\u00fcnchen, Munich, Germany", 
              "id": "http://www.grid.ac/institutes/grid.6936.a", 
              "name": [
                "CAMP-AR, Computer Science Department, TU M\u00fcnchen, Munich, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zikic", 
            "givenName": "Darko", 
            "id": "sg:person.0666051542.52", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0666051542.52"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Nuklearmedizinische Klinik der Technischen Universit\u00e4t M\u00fcnchen, Munich, Germany", 
              "id": "http://www.grid.ac/institutes/grid.6936.a", 
              "name": [
                "Nuklearmedizinische Klinik der Technischen Universit\u00e4t M\u00fcnchen, Munich, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Botnar", 
            "givenName": "Ren\u00e9 M.", 
            "id": "sg:person.01260403352.81", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01260403352.81"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Nuklearmedizinische Klinik der Technischen Universit\u00e4t M\u00fcnchen, Munich, Germany", 
              "id": "http://www.grid.ac/institutes/grid.6936.a", 
              "name": [
                "Nuklearmedizinische Klinik der Technischen Universit\u00e4t M\u00fcnchen, Munich, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bundschuh", 
            "givenName": "Ralph A.", 
            "id": "sg:person.01324320777.56", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324320777.56"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Molecular Imaging, Siemens Medical Solutions, Knoxville, TN, USA", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Molecular Imaging, Siemens Medical Solutions, Knoxville, TN, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Howe", 
            "givenName": "William", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Nuklearmedizinische Klinik der Technischen Universit\u00e4t M\u00fcnchen, Munich, Germany", 
              "id": "http://www.grid.ac/institutes/grid.6936.a", 
              "name": [
                "Nuklearmedizinische Klinik der Technischen Universit\u00e4t M\u00fcnchen, Munich, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ziegler", 
            "givenName": "Sibylle I.", 
            "id": "sg:person.01104122572.31", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104122572.31"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "CAMP-AR, Computer Science Department, TU M\u00fcnchen, Munich, Germany", 
              "id": "http://www.grid.ac/institutes/grid.6936.a", 
              "name": [
                "CAMP-AR, Computer Science Department, TU M\u00fcnchen, Munich, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Navab", 
            "givenName": "Nassir", 
            "id": "sg:person.01275015030.20", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01275015030.20"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Nuklearmedizinische Klinik der Technischen Universit\u00e4t M\u00fcnchen, Munich, Germany", 
              "id": "http://www.grid.ac/institutes/grid.6936.a", 
              "name": [
                "Nuklearmedizinische Klinik der Technischen Universit\u00e4t M\u00fcnchen, Munich, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Schwaiger", 
            "givenName": "Markus", 
            "id": "sg:person.01007146152.95", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01007146152.95"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Nuklearmedizinische Klinik der Technischen Universit\u00e4t M\u00fcnchen, Munich, Germany", 
              "id": "http://www.grid.ac/institutes/grid.6936.a", 
              "name": [
                "Nuklearmedizinische Klinik der Technischen Universit\u00e4t M\u00fcnchen, Munich, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nekolla", 
            "givenName": "Stephan G.", 
            "id": "sg:person.013000403137.02", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013000403137.02"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/bf02990019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001691247", 
              "https://doi.org/10.1007/bf02990019"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-005-0031-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038615370", 
              "https://doi.org/10.1007/s00259-005-0031-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-002-1024-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039895492", 
              "https://doi.org/10.1007/s00259-002-1024-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1008170101536", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043909713", 
              "https://doi.org/10.1023/a:1008170101536"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2007-02-21", 
        "datePublishedReg": "2007-02-21", 
        "description": "PurposeSpatial resolution in myocardial imaging is impaired by both cardiac and respiratory motion owing to motional blurring. We investigated the feasibility of a dual cardiac\u2013respiratory gated positron emission tomography (PET) acquisition using a clinical PET/computer tomography (CT) scanner. We describe its implementation and present results on the respiratory motion observed.MethodsThe correlation between diaphragmatic excursion measured by real-time magnetic resonance imaging (MRI) and the expansion of the chest measured with an elastic belt was studied in six subjects. PET list mode acquisitions were then performed in 12 patients, six of them injected with 13N-ammonia and six with 18F-FDG. In parallel, the ECG and respiratory signals of the patients were recorded and the list mode file correspondingly sorted using a dual gated approach. Respiratory motion of the heart was quantified by measuring the displacement between the inspiratory and expiratory images in the diastolic phase by means of intensity-based non-rigid image registration.ResultsThe correlation between diaphragmatic excursion and expansion of the chest was excellent (R2\u2009=\u20090.91), validating the ability of the elastic belt to provide an adequate respiratory trigger. Respiratory signals corresponding to the chest expansion showed a large inter-patient variability, requiring adapted algorithms in order to define suitable respiratory gates. Dual gated PET series were successfully acquired for both groups of patients, showing better resolved myocardial walls. The average respiratory motion of the heart measured by PET was 4.8\u00a0mm, with its largest component in the craniocaudal direction. Moreover, a deformation of the heart with respiration was observed, with the inferior wall moving significantly more than the anterior.ConclusionDual gated cardiac PET studies were performed successfully and showed better resolved myocardial walls as compared with ungated acquisitions. The respiratory motion of the heart presented a significant elastic component and was of the same magnitude as the spatial resolution of current PET cameras.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s00259-007-0374-9", 
        "inLanguage": "en", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1297401", 
            "issn": [
              "1619-7070", 
              "1619-7089"
            ], 
            "name": "European Journal of Nuclear Medicine and Molecular Imaging", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "9", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "34"
          }
        ], 
        "keywords": [
          "respiratory motion", 
          "non-rigid image registration", 
          "average respiratory motion", 
          "list mode acquisition", 
          "positron emission tomography (PET) acquisitions", 
          "respiratory signal", 
          "image registration", 
          "computer tomography (CT) scanner", 
          "real-time magnetic resonance imaging", 
          "respiratory gates", 
          "list mode files", 
          "significant elastic component", 
          "respiratory triggers", 
          "ungated acquisitions", 
          "magnetic resonance imaging", 
          "cardiac PET studies", 
          "elastic belt", 
          "diaphragmatic excursion", 
          "motional blurring", 
          "implementation", 
          "PET series", 
          "mode acquisition", 
          "group of patients", 
          "PET camera", 
          "inter-patient variability", 
          "algorithm", 
          "myocardial wall", 
          "large inter-patient variability", 
          "camera", 
          "tomography acquisition", 
          "acquisition", 
          "tomography scanner", 
          "files", 
          "chest expansion", 
          "inferior wall", 
          "expiratory images", 
          "myocardial imaging", 
          "images", 
          "resonance imaging", 
          "PET studies", 
          "registration", 
          "craniocaudal direction", 
          "patients", 
          "diastolic phase", 
          "motion", 
          "blurring", 
          "heart", 
          "chest", 
          "signals", 
          "scanner", 
          "spatial resolution", 
          "feasibility", 
          "feasibility study", 
          "imaging", 
          "present results", 
          "anterior", 
          "resolution", 
          "order", 
          "components", 
          "respiratory", 
          "results", 
          "parallel", 
          "ECG", 
          "study", 
          "subjects", 
          "same magnitude", 
          "correlation", 
          "PET", 
          "group", 
          "wall", 
          "gate", 
          "excursion", 
          "largest component", 
          "means", 
          "triggers", 
          "direction", 
          "ability", 
          "respiration", 
          "elastic component", 
          "dual", 
          "expansion", 
          "variability", 
          "series", 
          "phase", 
          "magnitude", 
          "approach", 
          "displacement", 
          "deformation", 
          "belt", 
          "PurposeSpatial resolution", 
          "emission tomography (PET) acquisition", 
          "clinical PET/computer tomography (CT) scanner", 
          "PET/computer tomography (CT) scanner", 
          "MethodsThe correlation", 
          "PET list mode acquisitions", 
          "mode file", 
          "dual gated approach", 
          "gated approach", 
          "intensity-based non-rigid image registration", 
          "adequate respiratory trigger", 
          "suitable respiratory gates", 
          "ConclusionDual", 
          "current PET cameras"
        ], 
        "name": "Dual cardiac\u2013respiratory gated PET: implementation and results from a feasibility study", 
        "pagination": "1447-1454", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1034213847"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00259-007-0374-9"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "17318548"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00259-007-0374-9", 
          "https://app.dimensions.ai/details/publication/pub.1034213847"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-01-01T18:17", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_448.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s00259-007-0374-9"
      }
    ]
     

    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/s00259-007-0374-9'

    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/s00259-007-0374-9'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00259-007-0374-9'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00259-007-0374-9'


     

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

    305 TRIPLES      22 PREDICATES      149 URIs      137 LITERALS      23 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00259-007-0374-9 schema:about N005e6b434af94ec58e859f0c28be38a0
    2 N16292ffda73f449798515afdfb04e1ed
    3 N21a028df529a4c4bb7768e70c4ed2801
    4 N2d19296711c0422eb80f16e97a9351ae
    5 N525ecf06c02d48e187972f5ffa2fe1f6
    6 N555687d1403b4b4483d6c9a05f96a615
    7 N8ffd0ecdeda44ca6aa3e2176a4011d91
    8 N906e82605e1e407ca59be9786a301a4e
    9 N94b306bc45614f28ab255c0dd2e520a6
    10 Na17297317e924314bb56020f23c50472
    11 Nb58e0e01a2e74b4bbeb649354a167a8c
    12 Nc7d682ba54f84308ae332bd098bb142b
    13 Ncce035a87cf646868f4cb1fbf78e475b
    14 Nd24598510da74bb48edf4f195e5ffb34
    15 Ndaba93e2803a44febaa0fcca7cf0e048
    16 Ne1e4ed3932cf4c58b044e1fcc8ae56ac
    17 anzsrc-for:11
    18 anzsrc-for:1102
    19 schema:author Nd63fa862968645898d0d54196dcfbdf5
    20 schema:citation sg:pub.10.1007/bf02990019
    21 sg:pub.10.1007/s00259-002-1024-x
    22 sg:pub.10.1007/s00259-005-0031-0
    23 sg:pub.10.1023/a:1008170101536
    24 schema:datePublished 2007-02-21
    25 schema:datePublishedReg 2007-02-21
    26 schema:description PurposeSpatial resolution in myocardial imaging is impaired by both cardiac and respiratory motion owing to motional blurring. We investigated the feasibility of a dual cardiac–respiratory gated positron emission tomography (PET) acquisition using a clinical PET/computer tomography (CT) scanner. We describe its implementation and present results on the respiratory motion observed.MethodsThe correlation between diaphragmatic excursion measured by real-time magnetic resonance imaging (MRI) and the expansion of the chest measured with an elastic belt was studied in six subjects. PET list mode acquisitions were then performed in 12 patients, six of them injected with 13N-ammonia and six with 18F-FDG. In parallel, the ECG and respiratory signals of the patients were recorded and the list mode file correspondingly sorted using a dual gated approach. Respiratory motion of the heart was quantified by measuring the displacement between the inspiratory and expiratory images in the diastolic phase by means of intensity-based non-rigid image registration.ResultsThe correlation between diaphragmatic excursion and expansion of the chest was excellent (R2 = 0.91), validating the ability of the elastic belt to provide an adequate respiratory trigger. Respiratory signals corresponding to the chest expansion showed a large inter-patient variability, requiring adapted algorithms in order to define suitable respiratory gates. Dual gated PET series were successfully acquired for both groups of patients, showing better resolved myocardial walls. The average respiratory motion of the heart measured by PET was 4.8 mm, with its largest component in the craniocaudal direction. Moreover, a deformation of the heart with respiration was observed, with the inferior wall moving significantly more than the anterior.ConclusionDual gated cardiac PET studies were performed successfully and showed better resolved myocardial walls as compared with ungated acquisitions. The respiratory motion of the heart presented a significant elastic component and was of the same magnitude as the spatial resolution of current PET cameras.
    27 schema:genre article
    28 schema:inLanguage en
    29 schema:isAccessibleForFree false
    30 schema:isPartOf N54639c8e7eec442fbcd6fc0455b954d1
    31 Nc1c0220cee53498fb580b8a0359d12bc
    32 sg:journal.1297401
    33 schema:keywords ConclusionDual
    34 ECG
    35 MethodsThe correlation
    36 PET
    37 PET camera
    38 PET list mode acquisitions
    39 PET series
    40 PET studies
    41 PET/computer tomography (CT) scanner
    42 PurposeSpatial resolution
    43 ability
    44 acquisition
    45 adequate respiratory trigger
    46 algorithm
    47 anterior
    48 approach
    49 average respiratory motion
    50 belt
    51 blurring
    52 camera
    53 cardiac PET studies
    54 chest
    55 chest expansion
    56 clinical PET/computer tomography (CT) scanner
    57 components
    58 computer tomography (CT) scanner
    59 correlation
    60 craniocaudal direction
    61 current PET cameras
    62 deformation
    63 diaphragmatic excursion
    64 diastolic phase
    65 direction
    66 displacement
    67 dual
    68 dual gated approach
    69 elastic belt
    70 elastic component
    71 emission tomography (PET) acquisition
    72 excursion
    73 expansion
    74 expiratory images
    75 feasibility
    76 feasibility study
    77 files
    78 gate
    79 gated approach
    80 group
    81 group of patients
    82 heart
    83 image registration
    84 images
    85 imaging
    86 implementation
    87 inferior wall
    88 intensity-based non-rigid image registration
    89 inter-patient variability
    90 large inter-patient variability
    91 largest component
    92 list mode acquisition
    93 list mode files
    94 magnetic resonance imaging
    95 magnitude
    96 means
    97 mode acquisition
    98 mode file
    99 motion
    100 motional blurring
    101 myocardial imaging
    102 myocardial wall
    103 non-rigid image registration
    104 order
    105 parallel
    106 patients
    107 phase
    108 positron emission tomography (PET) acquisitions
    109 present results
    110 real-time magnetic resonance imaging
    111 registration
    112 resolution
    113 resonance imaging
    114 respiration
    115 respiratory
    116 respiratory gates
    117 respiratory motion
    118 respiratory signal
    119 respiratory triggers
    120 results
    121 same magnitude
    122 scanner
    123 series
    124 signals
    125 significant elastic component
    126 spatial resolution
    127 study
    128 subjects
    129 suitable respiratory gates
    130 tomography acquisition
    131 tomography scanner
    132 triggers
    133 ungated acquisitions
    134 variability
    135 wall
    136 schema:name Dual cardiac–respiratory gated PET: implementation and results from a feasibility study
    137 schema:pagination 1447-1454
    138 schema:productId N7afb3dc6b6424fe68d2360e65f3a334e
    139 Nc489bf2c175943daac23701b2c2bd620
    140 Nf89ef3e895c94301b86bfc20472b273f
    141 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034213847
    142 https://doi.org/10.1007/s00259-007-0374-9
    143 schema:sdDatePublished 2022-01-01T18:17
    144 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    145 schema:sdPublisher N4d7ab60ea430489a8c0f261ab19586ba
    146 schema:url https://doi.org/10.1007/s00259-007-0374-9
    147 sgo:license sg:explorer/license/
    148 sgo:sdDataset articles
    149 rdf:type schema:ScholarlyArticle
    150 N005e6b434af94ec58e859f0c28be38a0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    151 schema:name Positron-Emission Tomography
    152 rdf:type schema:DefinedTerm
    153 N16292ffda73f449798515afdfb04e1ed schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    154 schema:name Myocardium
    155 rdf:type schema:DefinedTerm
    156 N211a3b92b49f4162aca76ea6adf9f114 rdf:first sg:person.01104122572.31
    157 rdf:rest Nc447cea4d65247a1b04451bb694c01de
    158 N2151581e5bf64cacb833e776b7c644b4 rdf:first sg:person.01324320777.56
    159 rdf:rest N31d4cc246a4f4b29a1dc29fd3cd0d822
    160 N21a028df529a4c4bb7768e70c4ed2801 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    161 schema:name Aged
    162 rdf:type schema:DefinedTerm
    163 N2d19296711c0422eb80f16e97a9351ae schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    164 schema:name Middle Aged
    165 rdf:type schema:DefinedTerm
    166 N31d4cc246a4f4b29a1dc29fd3cd0d822 rdf:first N9173266cb1e84b2791b853ed3f467118
    167 rdf:rest N211a3b92b49f4162aca76ea6adf9f114
    168 N4d7ab60ea430489a8c0f261ab19586ba schema:name Springer Nature - SN SciGraph project
    169 rdf:type schema:Organization
    170 N525ecf06c02d48e187972f5ffa2fe1f6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    171 schema:name Heart
    172 rdf:type schema:DefinedTerm
    173 N54639c8e7eec442fbcd6fc0455b954d1 schema:volumeNumber 34
    174 rdf:type schema:PublicationVolume
    175 N555687d1403b4b4483d6c9a05f96a615 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    176 schema:name Magnetic Resonance Imaging
    177 rdf:type schema:DefinedTerm
    178 N621e309676e34bef85b46a034bebda86 rdf:first sg:person.01007146152.95
    179 rdf:rest Na4cec55123ea4a44a4047edfa36af937
    180 N7afb3dc6b6424fe68d2360e65f3a334e schema:name dimensions_id
    181 schema:value pub.1034213847
    182 rdf:type schema:PropertyValue
    183 N8ffd0ecdeda44ca6aa3e2176a4011d91 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    184 schema:name Respiration
    185 rdf:type schema:DefinedTerm
    186 N906e82605e1e407ca59be9786a301a4e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    187 schema:name Male
    188 rdf:type schema:DefinedTerm
    189 N9173266cb1e84b2791b853ed3f467118 schema:affiliation grid-institutes:None
    190 schema:familyName Howe
    191 schema:givenName William
    192 rdf:type schema:Person
    193 N94b306bc45614f28ab255c0dd2e520a6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    194 schema:name Feasibility Studies
    195 rdf:type schema:DefinedTerm
    196 Na17297317e924314bb56020f23c50472 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    197 schema:name Time Factors
    198 rdf:type schema:DefinedTerm
    199 Na4cec55123ea4a44a4047edfa36af937 rdf:first sg:person.013000403137.02
    200 rdf:rest rdf:nil
    201 Nb58e0e01a2e74b4bbeb649354a167a8c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    202 schema:name Image Interpretation, Computer-Assisted
    203 rdf:type schema:DefinedTerm
    204 Nbe8311bc10634cc6ac94d62fc0dcb280 rdf:first sg:person.0666051542.52
    205 rdf:rest Nd7a2353048174240bc58ff5596aec57a
    206 Nc1c0220cee53498fb580b8a0359d12bc schema:issueNumber 9
    207 rdf:type schema:PublicationIssue
    208 Nc447cea4d65247a1b04451bb694c01de rdf:first sg:person.01275015030.20
    209 rdf:rest N621e309676e34bef85b46a034bebda86
    210 Nc489bf2c175943daac23701b2c2bd620 schema:name pubmed_id
    211 schema:value 17318548
    212 rdf:type schema:PropertyValue
    213 Nc7d682ba54f84308ae332bd098bb142b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    214 schema:name Tomography, X-Ray Computed
    215 rdf:type schema:DefinedTerm
    216 Ncce035a87cf646868f4cb1fbf78e475b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    217 schema:name Image Processing, Computer-Assisted
    218 rdf:type schema:DefinedTerm
    219 Nd24598510da74bb48edf4f195e5ffb34 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    220 schema:name Artifacts
    221 rdf:type schema:DefinedTerm
    222 Nd63fa862968645898d0d54196dcfbdf5 rdf:first sg:person.0736407637.26
    223 rdf:rest Nbe8311bc10634cc6ac94d62fc0dcb280
    224 Nd7a2353048174240bc58ff5596aec57a rdf:first sg:person.01260403352.81
    225 rdf:rest N2151581e5bf64cacb833e776b7c644b4
    226 Ndaba93e2803a44febaa0fcca7cf0e048 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    227 schema:name Animals
    228 rdf:type schema:DefinedTerm
    229 Ne1e4ed3932cf4c58b044e1fcc8ae56ac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    230 schema:name Humans
    231 rdf:type schema:DefinedTerm
    232 Nf89ef3e895c94301b86bfc20472b273f schema:name doi
    233 schema:value 10.1007/s00259-007-0374-9
    234 rdf:type schema:PropertyValue
    235 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    236 schema:name Medical and Health Sciences
    237 rdf:type schema:DefinedTerm
    238 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
    239 schema:name Cardiorespiratory Medicine and Haematology
    240 rdf:type schema:DefinedTerm
    241 sg:journal.1297401 schema:issn 1619-7070
    242 1619-7089
    243 schema:name European Journal of Nuclear Medicine and Molecular Imaging
    244 schema:publisher Springer Nature
    245 rdf:type schema:Periodical
    246 sg:person.01007146152.95 schema:affiliation grid-institutes:grid.6936.a
    247 schema:familyName Schwaiger
    248 schema:givenName Markus
    249 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01007146152.95
    250 rdf:type schema:Person
    251 sg:person.01104122572.31 schema:affiliation grid-institutes:grid.6936.a
    252 schema:familyName Ziegler
    253 schema:givenName Sibylle I.
    254 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104122572.31
    255 rdf:type schema:Person
    256 sg:person.01260403352.81 schema:affiliation grid-institutes:grid.6936.a
    257 schema:familyName Botnar
    258 schema:givenName René M.
    259 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01260403352.81
    260 rdf:type schema:Person
    261 sg:person.01275015030.20 schema:affiliation grid-institutes:grid.6936.a
    262 schema:familyName Navab
    263 schema:givenName Nassir
    264 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01275015030.20
    265 rdf:type schema:Person
    266 sg:person.013000403137.02 schema:affiliation grid-institutes:grid.6936.a
    267 schema:familyName Nekolla
    268 schema:givenName Stephan G.
    269 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013000403137.02
    270 rdf:type schema:Person
    271 sg:person.01324320777.56 schema:affiliation grid-institutes:grid.6936.a
    272 schema:familyName Bundschuh
    273 schema:givenName Ralph A.
    274 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324320777.56
    275 rdf:type schema:Person
    276 sg:person.0666051542.52 schema:affiliation grid-institutes:grid.6936.a
    277 schema:familyName Zikic
    278 schema:givenName Darko
    279 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0666051542.52
    280 rdf:type schema:Person
    281 sg:person.0736407637.26 schema:affiliation grid-institutes:grid.6936.a
    282 schema:familyName Martinez-Möller
    283 schema:givenName Axel
    284 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0736407637.26
    285 rdf:type schema:Person
    286 sg:pub.10.1007/bf02990019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001691247
    287 https://doi.org/10.1007/bf02990019
    288 rdf:type schema:CreativeWork
    289 sg:pub.10.1007/s00259-002-1024-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1039895492
    290 https://doi.org/10.1007/s00259-002-1024-x
    291 rdf:type schema:CreativeWork
    292 sg:pub.10.1007/s00259-005-0031-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038615370
    293 https://doi.org/10.1007/s00259-005-0031-0
    294 rdf:type schema:CreativeWork
    295 sg:pub.10.1023/a:1008170101536 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043909713
    296 https://doi.org/10.1023/a:1008170101536
    297 rdf:type schema:CreativeWork
    298 grid-institutes:None schema:alternateName Molecular Imaging, Siemens Medical Solutions, Knoxville, TN, USA
    299 schema:name Molecular Imaging, Siemens Medical Solutions, Knoxville, TN, USA
    300 rdf:type schema:Organization
    301 grid-institutes:grid.6936.a schema:alternateName CAMP-AR, Computer Science Department, TU München, Munich, Germany
    302 Nuklearmedizinische Klinik der Technischen Universität München, Munich, Germany
    303 schema:name CAMP-AR, Computer Science Department, TU München, Munich, Germany
    304 Nuklearmedizinische Klinik der Technischen Universität München, Munich, Germany
    305 rdf:type schema:Organization
     




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


    ...