Three- and four-dimensional reconstruction of intra-cardiac anatomy from two-dimensional magnetic resonance images View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2003-06

AUTHORS

M.E. Miquel, D.L.G. Hill, E.J. Baker, S.A. Qureshi, R.D.B. Simon, S.F. Keevil, R.S. Razavi

ABSTRACT

The present study was designed to evaluate the feasibility and clinical usefulness of three-dimensional (3D) reconstruction of intra-cardiac anatomy from a series of two-dimensional (2D) MR images using commercially available software. Sixteen patients (eight with structurally normal hearts but due to have catheter radio-frequency ablation of atrial tachyarrhythmias and eight with atrial septal defects (ASD) due for trans-catheter closure) and two volunteers were imaged at 1T. For each patient, a series of ECG-triggered images (5 mm thick slices, 2-3 mm apart) were acquired during breath holding. Depending on image quality, T1- or T2-weighted spin-echo images or gradient-echo cine images were used. The 3D reconstruction was performed off-line: the blood pools within cardiac chambers and great vessels were semi-automatically segmented, their outer surface was extracted using a marching cube algorithm and rendered. Intra- and inter-observer variability, effect of breath-hold position and differences between pulse sequences were assessed by imaging a volunteer. The 3D reconstructions were assessed by three cardiologists and compared with the 2D MR images and with 2D and 3D trans-esophagal and intra-cardiac echocardiography obtained during interventions. In every case, an anatomically detailed 3D volume was obtained. In the two patients where a 3 mm interval between slices was used, the resolution was not as good but it was still possible to visualize all the major anatomical structures. Spin-echo images lead to reconstructions more detailed than those obtained from gradient-echo images. However, gradient-echo images are easier to segment due to their greater contrast. Furthermore, because images were acquired at least at ten points in the cardiac cycles for every slice it was possible to reconstruct a cine loop and, for example, to visualize the evolution of the size and margins of the ASD during the cardiac cycle. 3D reconstruction proved to be an effective way to assess the relationship between the different parts of the cardiac anatomy. The technique was useful in planning interventions in these patients. More... »

PAGES

239-254

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/a:1023671031207

DOI

http://dx.doi.org/10.1023/a:1023671031207

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1038201413

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/12834161


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/2008/1102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Cardiorespiratory Medicine and Haematology", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Arrhythmias, Cardiac", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Artificial Intelligence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Catheter Ablation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Echocardiography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Echocardiography, Four-Dimensional", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Echocardiography, Transesophageal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Electrocardiography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Feasibility Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Heart Atria", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Heart Septal Defects, Atrial", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Imaging, Three-Dimensional", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Imaging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Observer Variation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Statistics as Topic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "United Kingdom", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Guy's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.239826.4", 
          "name": [
            "Cardiac MR Research Group, SE1 9RT, London, UK", 
            "Department of Radiological Sciences, King's College London 5th Floor, Thomas Guy's House, Guy's Hospital, SE1 9RT, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miquel", 
        "givenName": "M.E.", 
        "id": "sg:person.01232511460.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232511460.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Guy's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.239826.4", 
          "name": [
            "Cardiac MR Research Group, SE1 9RT, London, UK", 
            "Department of Radiological Sciences, King's College London 5th Floor, Thomas Guy's House, Guy's Hospital, SE1 9RT, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hill", 
        "givenName": "D.L.G.", 
        "id": "sg:person.014417601312.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014417601312.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Guy's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.239826.4", 
          "name": [
            "Cardiac MR Research Group, SE1 9RT, London, UK", 
            "Department of Congenital Heart Disease, Guy's and St Thomas' Hospital NHS Trust, Guy's Tower, Guy's Hospital, SE1 9RT, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Baker", 
        "givenName": "E.J.", 
        "id": "sg:person.014341651532.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014341651532.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Guy's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.239826.4", 
          "name": [
            "Department of Congenital Heart Disease, Guy's and St Thomas' Hospital NHS Trust, Guy's Tower, Guy's Hospital, SE1 9RT, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Qureshi", 
        "givenName": "S.A.", 
        "id": "sg:person.0773450136.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0773450136.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "St Thomas' Hospital", 
          "id": "https://www.grid.ac/institutes/grid.425213.3", 
          "name": [
            "Department of Cardiology, Guy's and St Thomas' Hospital NHS Trust, East Wing, St Thomas' Hospital, SE1 7EW, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Simon", 
        "givenName": "R.D.B.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Cardiac MR Research Group, SE1 9RT, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Keevil", 
        "givenName": "S.F.", 
        "id": "sg:person.01233710366.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233710366.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Cardiac MR Research Group, SE1 9RT, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Razavi", 
        "givenName": "R.S.", 
        "id": "sg:person.010431101217.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010431101217.29"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s002469910005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010020359", 
          "https://doi.org/10.1007/s002469910005"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bfb0056191", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010081200", 
          "https://doi.org/10.1007/bfb0056191"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s1047951100006892", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011511066"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.214.2.r00fe17453", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011869836"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/b978-012077790-7/50049-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021761371"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0002-8703(99)70365-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021796320"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1522-2586(199911)10:5<758::aid-jmri21>3.0.co;2-a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026214951"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0002-9149(98)00063-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027262819"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00001573-199811000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032790893"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/cviu.1999.0818", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035615444"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002469900145", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042910913", 
          "https://doi.org/10.1007/s002469900145"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00019501-199905000-00004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043203882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00019501-199905000-00004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043203882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002470000243", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044633668", 
          "https://doi.org/10.1007/s002470000243"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1522-2594(199904)41:4<793::aid-mrm19>3.0.co;2-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047927589"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35008075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048889142", 
          "https://doi.org/10.1038/35008075"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35008075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048889142", 
          "https://doi.org/10.1038/35008075"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.101.11.1288", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051637321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0002-8703(00)90044-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053075998"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/43/4/025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059023400"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00001573-199901000-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060137464"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004728-199807000-00011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060189450"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004728-199807000-00011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060189450"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004728-199807000-00011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060189450"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/42.887837", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061170971"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/37402.37422", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063169297"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.213.2.r99nv16502", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074546108"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074680355", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2003-06", 
    "datePublishedReg": "2003-06-01", 
    "description": "The present study was designed to evaluate the feasibility and clinical usefulness of three-dimensional (3D) reconstruction of intra-cardiac anatomy from a series of two-dimensional (2D) MR images using commercially available software. Sixteen patients (eight with structurally normal hearts but due to have catheter radio-frequency ablation of atrial tachyarrhythmias and eight with atrial septal defects (ASD) due for trans-catheter closure) and two volunteers were imaged at 1T. For each patient, a series of ECG-triggered images (5 mm thick slices, 2-3 mm apart) were acquired during breath holding. Depending on image quality, T1- or T2-weighted spin-echo images or gradient-echo cine images were used. The 3D reconstruction was performed off-line: the blood pools within cardiac chambers and great vessels were semi-automatically segmented, their outer surface was extracted using a marching cube algorithm and rendered. Intra- and inter-observer variability, effect of breath-hold position and differences between pulse sequences were assessed by imaging a volunteer. The 3D reconstructions were assessed by three cardiologists and compared with the 2D MR images and with 2D and 3D trans-esophagal and intra-cardiac echocardiography obtained during interventions. In every case, an anatomically detailed 3D volume was obtained. In the two patients where a 3 mm interval between slices was used, the resolution was not as good but it was still possible to visualize all the major anatomical structures. Spin-echo images lead to reconstructions more detailed than those obtained from gradient-echo images. However, gradient-echo images are easier to segment due to their greater contrast. Furthermore, because images were acquired at least at ten points in the cardiac cycles for every slice it was possible to reconstruct a cine loop and, for example, to visualize the evolution of the size and margins of the ASD during the cardiac cycle. 3D reconstruction proved to be an effective way to assess the relationship between the different parts of the cardiac anatomy. The technique was useful in planning interventions in these patients.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1023/a:1023671031207", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1025429", 
        "issn": [
          "1569-5794", 
          "1573-0743"
        ], 
        "name": "The International Journal of Cardiovascular Imaging", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "19"
      }
    ], 
    "name": "Three- and four-dimensional reconstruction of intra-cardiac anatomy from two-dimensional magnetic resonance images", 
    "pagination": "239-254", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b5fa96fa24151ba5baa6146f7df3f409ccff175b2d90e443b1cb5d0cedb06403"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "12834161"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100969716"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1023/a:1023671031207"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1038201413"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1023/a:1023671031207", 
      "https://app.dimensions.ai/details/publication/pub.1038201413"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:45", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8684_00000506.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1023%2FA%3A1023671031207"
  }
]
 

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.10.1023/a:1023671031207'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1023/a:1023671031207'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1023/a:1023671031207'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1023/a:1023671031207'


 

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

263 TRIPLES      21 PREDICATES      70 URIs      38 LITERALS      26 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1023/a:1023671031207 schema:about N1109c9d23c664356b05eefe7d309e8c7
2 N25807604cde74b13965fe4899fa49d1b
3 N2c7acb25fbd94e77a3f9746d59a6a853
4 N2fdcc9c506ea4a779b53c6b90284a998
5 N3fdc055e2cdc48f7bdbb25b21792f7a0
6 N495388e835364436bfde1c83072b46e7
7 N53b6029b52ea450486126f121017e810
8 N75fe3fda4f1841aea75241e6ebddb033
9 N788d600c92804e45aab6db54e0f9bcb9
10 N7a91361639d34f64a425a8fb16d7eb3a
11 N867b80464fef44c3a66063c9e5c2a31b
12 Naed2222691464781923f7f08ac5b2c43
13 Nce3518cf00504e90904ffdcb329096ce
14 Nd1642fcc2d3f480c86c5ab3de89b3eb9
15 Nd8b528524144446c886a9f48fe732408
16 Nf0d10d695bfd4a608574ec8f79e2987c
17 Nfcc66f6051d544a9933a97de4c90bace
18 anzsrc-for:11
19 anzsrc-for:1102
20 schema:author Nab84146aa1214fb78eb46835bd7cff92
21 schema:citation sg:pub.10.1007/bfb0056191
22 sg:pub.10.1007/s002469900145
23 sg:pub.10.1007/s002469910005
24 sg:pub.10.1007/s002470000243
25 sg:pub.10.1038/35008075
26 https://app.dimensions.ai/details/publication/pub.1074680355
27 https://doi.org/10.1002/(sici)1522-2586(199911)10:5<758::aid-jmri21>3.0.co;2-a
28 https://doi.org/10.1002/(sici)1522-2594(199904)41:4<793::aid-mrm19>3.0.co;2-2
29 https://doi.org/10.1006/cviu.1999.0818
30 https://doi.org/10.1016/b978-012077790-7/50049-7
31 https://doi.org/10.1016/s0002-8703(00)90044-9
32 https://doi.org/10.1016/s0002-8703(99)70365-0
33 https://doi.org/10.1016/s0002-9149(98)00063-0
34 https://doi.org/10.1017/s1047951100006892
35 https://doi.org/10.1088/0031-9155/43/4/025
36 https://doi.org/10.1097/00001573-199811000-00002
37 https://doi.org/10.1097/00001573-199901000-00009
38 https://doi.org/10.1097/00004728-199807000-00011
39 https://doi.org/10.1097/00019501-199905000-00004
40 https://doi.org/10.1109/42.887837
41 https://doi.org/10.1145/37402.37422
42 https://doi.org/10.1148/radiology.213.2.r99nv16502
43 https://doi.org/10.1148/radiology.214.2.r00fe17453
44 https://doi.org/10.1161/01.cir.101.11.1288
45 schema:datePublished 2003-06
46 schema:datePublishedReg 2003-06-01
47 schema:description The present study was designed to evaluate the feasibility and clinical usefulness of three-dimensional (3D) reconstruction of intra-cardiac anatomy from a series of two-dimensional (2D) MR images using commercially available software. Sixteen patients (eight with structurally normal hearts but due to have catheter radio-frequency ablation of atrial tachyarrhythmias and eight with atrial septal defects (ASD) due for trans-catheter closure) and two volunteers were imaged at 1T. For each patient, a series of ECG-triggered images (5 mm thick slices, 2-3 mm apart) were acquired during breath holding. Depending on image quality, T1- or T2-weighted spin-echo images or gradient-echo cine images were used. The 3D reconstruction was performed off-line: the blood pools within cardiac chambers and great vessels were semi-automatically segmented, their outer surface was extracted using a marching cube algorithm and rendered. Intra- and inter-observer variability, effect of breath-hold position and differences between pulse sequences were assessed by imaging a volunteer. The 3D reconstructions were assessed by three cardiologists and compared with the 2D MR images and with 2D and 3D trans-esophagal and intra-cardiac echocardiography obtained during interventions. In every case, an anatomically detailed 3D volume was obtained. In the two patients where a 3 mm interval between slices was used, the resolution was not as good but it was still possible to visualize all the major anatomical structures. Spin-echo images lead to reconstructions more detailed than those obtained from gradient-echo images. However, gradient-echo images are easier to segment due to their greater contrast. Furthermore, because images were acquired at least at ten points in the cardiac cycles for every slice it was possible to reconstruct a cine loop and, for example, to visualize the evolution of the size and margins of the ASD during the cardiac cycle. 3D reconstruction proved to be an effective way to assess the relationship between the different parts of the cardiac anatomy. The technique was useful in planning interventions in these patients.
48 schema:genre research_article
49 schema:inLanguage en
50 schema:isAccessibleForFree false
51 schema:isPartOf N97534fb54fcf488b83e27336d5dd7d57
52 Nc8ca8f0ec8c545b59aadececbee7afe6
53 sg:journal.1025429
54 schema:name Three- and four-dimensional reconstruction of intra-cardiac anatomy from two-dimensional magnetic resonance images
55 schema:pagination 239-254
56 schema:productId N23cae98ef576468cb8a2db392680dac1
57 N2fd9a6cc621e4b6d9c983c71632e2baf
58 Nca31156daa9747d5b5b8d7048cdcd9a0
59 Ncb619dcc5139499aa399024f7b73fa8c
60 Nccbe1ef7e9624fb3913b5d644f424f0d
61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038201413
62 https://doi.org/10.1023/a:1023671031207
63 schema:sdDatePublished 2019-04-10T20:45
64 schema:sdLicense https://scigraph.springernature.com/explorer/license/
65 schema:sdPublisher N8b36be22c464454a8e97a3395f5356c3
66 schema:url http://link.springer.com/10.1023%2FA%3A1023671031207
67 sgo:license sg:explorer/license/
68 sgo:sdDataset articles
69 rdf:type schema:ScholarlyArticle
70 N1109c9d23c664356b05eefe7d309e8c7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Heart Atria
72 rdf:type schema:DefinedTerm
73 N13c221fa745e474ebed4bdf4f4ce9c0c rdf:first N5ae8e69240f04d57986df0040b1a9747
74 rdf:rest Nfa35357b55c34c55bd11e1996f5e457a
75 N23cae98ef576468cb8a2db392680dac1 schema:name readcube_id
76 schema:value b5fa96fa24151ba5baa6146f7df3f409ccff175b2d90e443b1cb5d0cedb06403
77 rdf:type schema:PropertyValue
78 N25807604cde74b13965fe4899fa49d1b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Echocardiography
80 rdf:type schema:DefinedTerm
81 N2c7acb25fbd94e77a3f9746d59a6a853 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Imaging, Three-Dimensional
83 rdf:type schema:DefinedTerm
84 N2fd9a6cc621e4b6d9c983c71632e2baf schema:name pubmed_id
85 schema:value 12834161
86 rdf:type schema:PropertyValue
87 N2fdcc9c506ea4a779b53c6b90284a998 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Statistics as Topic
89 rdf:type schema:DefinedTerm
90 N3fdc055e2cdc48f7bdbb25b21792f7a0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Humans
92 rdf:type schema:DefinedTerm
93 N495388e835364436bfde1c83072b46e7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Echocardiography, Transesophageal
95 rdf:type schema:DefinedTerm
96 N50a85577f7f64216a44a8229926a5a65 rdf:first sg:person.014341651532.53
97 rdf:rest N90e11ff9cf0946ebb77133cb1e3bc7f3
98 N53b6029b52ea450486126f121017e810 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Catheter Ablation
100 rdf:type schema:DefinedTerm
101 N5ae8e69240f04d57986df0040b1a9747 schema:affiliation https://www.grid.ac/institutes/grid.425213.3
102 schema:familyName Simon
103 schema:givenName R.D.B.
104 rdf:type schema:Person
105 N75fe3fda4f1841aea75241e6ebddb033 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Heart Septal Defects, Atrial
107 rdf:type schema:DefinedTerm
108 N7718277044284d3bb10f1ee7fd7ad7d3 rdf:first sg:person.010431101217.29
109 rdf:rest rdf:nil
110 N788d600c92804e45aab6db54e0f9bcb9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Echocardiography, Four-Dimensional
112 rdf:type schema:DefinedTerm
113 N7a91361639d34f64a425a8fb16d7eb3a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Arrhythmias, Cardiac
115 rdf:type schema:DefinedTerm
116 N867b80464fef44c3a66063c9e5c2a31b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Electrocardiography
118 rdf:type schema:DefinedTerm
119 N8b36be22c464454a8e97a3395f5356c3 schema:name Springer Nature - SN SciGraph project
120 rdf:type schema:Organization
121 N90e11ff9cf0946ebb77133cb1e3bc7f3 rdf:first sg:person.0773450136.83
122 rdf:rest N13c221fa745e474ebed4bdf4f4ce9c0c
123 N97534fb54fcf488b83e27336d5dd7d57 schema:volumeNumber 19
124 rdf:type schema:PublicationVolume
125 Nab84146aa1214fb78eb46835bd7cff92 rdf:first sg:person.01232511460.37
126 rdf:rest Nd8b9b0029e4c4f73a47748ec7969f97c
127 Naed2222691464781923f7f08ac5b2c43 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Feasibility Studies
129 rdf:type schema:DefinedTerm
130 Nc8ca8f0ec8c545b59aadececbee7afe6 schema:issueNumber 3
131 rdf:type schema:PublicationIssue
132 Nca31156daa9747d5b5b8d7048cdcd9a0 schema:name dimensions_id
133 schema:value pub.1038201413
134 rdf:type schema:PropertyValue
135 Ncb619dcc5139499aa399024f7b73fa8c schema:name nlm_unique_id
136 schema:value 100969716
137 rdf:type schema:PropertyValue
138 Nccbe1ef7e9624fb3913b5d644f424f0d schema:name doi
139 schema:value 10.1023/a:1023671031207
140 rdf:type schema:PropertyValue
141 Nce3518cf00504e90904ffdcb329096ce schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Observer Variation
143 rdf:type schema:DefinedTerm
144 Nd1642fcc2d3f480c86c5ab3de89b3eb9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Artificial Intelligence
146 rdf:type schema:DefinedTerm
147 Nd8b528524144446c886a9f48fe732408 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name United Kingdom
149 rdf:type schema:DefinedTerm
150 Nd8b9b0029e4c4f73a47748ec7969f97c rdf:first sg:person.014417601312.65
151 rdf:rest N50a85577f7f64216a44a8229926a5a65
152 Nec2bf3fcb8b641f9899e930f6d308fb4 schema:name Cardiac MR Research Group, SE1 9RT, London, UK
153 rdf:type schema:Organization
154 Nee4077190a17429aa305b8fac644d029 schema:name Cardiac MR Research Group, SE1 9RT, London, UK
155 rdf:type schema:Organization
156 Nf0d10d695bfd4a608574ec8f79e2987c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Magnetic Resonance Imaging
158 rdf:type schema:DefinedTerm
159 Nfa35357b55c34c55bd11e1996f5e457a rdf:first sg:person.01233710366.79
160 rdf:rest N7718277044284d3bb10f1ee7fd7ad7d3
161 Nfcc66f6051d544a9933a97de4c90bace schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Radiography
163 rdf:type schema:DefinedTerm
164 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
165 schema:name Medical and Health Sciences
166 rdf:type schema:DefinedTerm
167 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
168 schema:name Cardiorespiratory Medicine and Haematology
169 rdf:type schema:DefinedTerm
170 sg:journal.1025429 schema:issn 1569-5794
171 1573-0743
172 schema:name The International Journal of Cardiovascular Imaging
173 rdf:type schema:Periodical
174 sg:person.010431101217.29 schema:affiliation Nec2bf3fcb8b641f9899e930f6d308fb4
175 schema:familyName Razavi
176 schema:givenName R.S.
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010431101217.29
178 rdf:type schema:Person
179 sg:person.01232511460.37 schema:affiliation https://www.grid.ac/institutes/grid.239826.4
180 schema:familyName Miquel
181 schema:givenName M.E.
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232511460.37
183 rdf:type schema:Person
184 sg:person.01233710366.79 schema:affiliation Nee4077190a17429aa305b8fac644d029
185 schema:familyName Keevil
186 schema:givenName S.F.
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233710366.79
188 rdf:type schema:Person
189 sg:person.014341651532.53 schema:affiliation https://www.grid.ac/institutes/grid.239826.4
190 schema:familyName Baker
191 schema:givenName E.J.
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014341651532.53
193 rdf:type schema:Person
194 sg:person.014417601312.65 schema:affiliation https://www.grid.ac/institutes/grid.239826.4
195 schema:familyName Hill
196 schema:givenName D.L.G.
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014417601312.65
198 rdf:type schema:Person
199 sg:person.0773450136.83 schema:affiliation https://www.grid.ac/institutes/grid.239826.4
200 schema:familyName Qureshi
201 schema:givenName S.A.
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0773450136.83
203 rdf:type schema:Person
204 sg:pub.10.1007/bfb0056191 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010081200
205 https://doi.org/10.1007/bfb0056191
206 rdf:type schema:CreativeWork
207 sg:pub.10.1007/s002469900145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042910913
208 https://doi.org/10.1007/s002469900145
209 rdf:type schema:CreativeWork
210 sg:pub.10.1007/s002469910005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010020359
211 https://doi.org/10.1007/s002469910005
212 rdf:type schema:CreativeWork
213 sg:pub.10.1007/s002470000243 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044633668
214 https://doi.org/10.1007/s002470000243
215 rdf:type schema:CreativeWork
216 sg:pub.10.1038/35008075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048889142
217 https://doi.org/10.1038/35008075
218 rdf:type schema:CreativeWork
219 https://app.dimensions.ai/details/publication/pub.1074680355 schema:CreativeWork
220 https://doi.org/10.1002/(sici)1522-2586(199911)10:5<758::aid-jmri21>3.0.co;2-a schema:sameAs https://app.dimensions.ai/details/publication/pub.1026214951
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1002/(sici)1522-2594(199904)41:4<793::aid-mrm19>3.0.co;2-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047927589
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1006/cviu.1999.0818 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035615444
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1016/b978-012077790-7/50049-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021761371
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1016/s0002-8703(00)90044-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053075998
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1016/s0002-8703(99)70365-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021796320
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1016/s0002-9149(98)00063-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027262819
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1017/s1047951100006892 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011511066
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1088/0031-9155/43/4/025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059023400
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1097/00001573-199811000-00002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032790893
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1097/00001573-199901000-00009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060137464
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1097/00004728-199807000-00011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060189450
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1097/00019501-199905000-00004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043203882
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1109/42.887837 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061170971
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1145/37402.37422 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063169297
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1148/radiology.213.2.r99nv16502 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074546108
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1148/radiology.214.2.r00fe17453 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011869836
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1161/01.cir.101.11.1288 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051637321
255 rdf:type schema:CreativeWork
256 https://www.grid.ac/institutes/grid.239826.4 schema:alternateName Guy's Hospital
257 schema:name Cardiac MR Research Group, SE1 9RT, London, UK
258 Department of Congenital Heart Disease, Guy's and St Thomas' Hospital NHS Trust, Guy's Tower, Guy's Hospital, SE1 9RT, London, UK
259 Department of Radiological Sciences, King's College London 5th Floor, Thomas Guy's House, Guy's Hospital, SE1 9RT, London, UK
260 rdf:type schema:Organization
261 https://www.grid.ac/institutes/grid.425213.3 schema:alternateName St Thomas' Hospital
262 schema:name Department of Cardiology, Guy's and St Thomas' Hospital NHS Trust, East Wing, St Thomas' Hospital, SE1 7EW, London, UK
263 rdf:type schema:Organization
 




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


...