Computed Tomography in Congenital Heart Disease View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2008

AUTHORS

Laureen Sena , Hyun Woo Goo

ABSTRACT

Over the past two decades, technological improvements have significantly advanced the role of multidetector computed tomography (MDCT) in noninvasive imaging of children with congenital heart disease (CHD). From the early use of helical CT for imaging congenital anomalies of the extracardiac thoracic vasculature (Hopkins et al. 1996; Westra et al. 1999), MDCT has become an important complementary modality to echocardiography and magnetic resonance imaging (MRI) for the morphologic evaluation of CHD (Goo et al. 2003). In addition, MDCT can now be used to assess coronary artery anatomy, measure regional and global cardiac function (Juergens et al. 2004), and provide morphologic and functional evaluation following operative and catheter intervention for many forms of congenital heart disease (Kawano et al. 2000). MDCT has rapidly evolved to systems which generate isotropic volume data and there are now much improved and faster post-processing techniques for visualizing the vasculature as compared with previously used methods. More... »

PAGES

319-346

Book

TITLE

Radiological Imaging of the Neonatal Chest

ISBN

978-3-540-33748-5
978-3-540-33749-2

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-540-33749-2_17

DOI

http://dx.doi.org/10.1007/978-3-540-33749-2_17

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1003582103


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Boston Children's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.2515.3", 
          "name": [
            "Department of Radiology, Children\u2019s Hospital, Boston, 300 Longwood Avenue, 02115, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sena", 
        "givenName": "Laureen", 
        "id": "sg:person.01163430707.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01163430707.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Asan Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.413967.e", 
          "name": [
            "Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 388-1 Songpa-gu Poongnap-2dong, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Goo", 
        "givenName": "Hyun Woo", 
        "id": "sg:person.0734225244.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734225244.44"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0033-8389(03)00036-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004279430"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/heart.83.3.307", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004701172"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2293020999", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006396079"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2332032107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007658135"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2303021726", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007957153"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00247-005-0105-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009115020", 
          "https://doi.org/10.1007/s00247-005-0105-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00247-005-0105-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009115020", 
          "https://doi.org/10.1007/s00247-005-0105-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0002-8703(84)90092-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012702061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2302030042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017596844"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00247-006-0182-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019073452", 
          "https://doi.org/10.1007/s00247-006-0182-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00247-006-0182-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019073452", 
          "https://doi.org/10.1007/s00247-006-0182-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-001-1255-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019491909", 
          "https://doi.org/10.1007/s00330-001-1255-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2321030636", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020989125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00247-006-0143-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022497271", 
          "https://doi.org/10.1007/s00247-006-0143-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00247-006-0143-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022497271", 
          "https://doi.org/10.1007/s00247-006-0143-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiographics.14.2.8190958", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025446695"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/hc0802.105563", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030159452"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/rg.23si035501", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030819015"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiographics.22.suppl_1.g02oc05s45", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030892902"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-5223(96)70269-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032619019"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0003-4975(98)00952-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034770002"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4065/77.1.55", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036581472"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0003-4975(99)00311-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036971884"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00247-005-1482-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038094918", 
          "https://doi.org/10.1007/s00247-005-1482-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00247-005-1482-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038094918", 
          "https://doi.org/10.1007/s00247-005-1482-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00247-005-1482-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038094918", 
          "https://doi.org/10.1007/s00247-005-1482-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02021531", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038200809", 
          "https://doi.org/10.1007/bf02021531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02021531", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038200809", 
          "https://doi.org/10.1007/bf02021531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ccd.20760", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038264342"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s1047951102000082", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040031861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0895-6111(02)00010-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041108945"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2353040037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041621786"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1460-9592.2004.01221.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043436427"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002460010180", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044172469", 
          "https://doi.org/10.1007/s002460010180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jtcvs.2004.08.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044366950"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00247-002-0684-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045759241", 
          "https://doi.org/10.1007/s00247-002-0684-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002469900458", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046701826", 
          "https://doi.org/10.1007/s002469900458"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.102.23.2823", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048576794"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0003-4975(99)00064-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049251464"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0002-9149(82)90257-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049870225"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s1047951100012439", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049899038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00247-004-1353-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050550711", 
          "https://doi.org/10.1007/s00247-004-1353-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/rg.262055068", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052162982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1253/circj.67.427", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052478621"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.94.6.1379", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063337491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1542/peds.101.1.108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067819329"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1542/peds.102.1.e7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067819590"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.173.1.10397109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069322498"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.175.5.1751381", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069323613"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.176.2.1760303", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069323773"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.183.1.1830183", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069326234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079151727", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.200.3.8756937", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082940320"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2008", 
    "datePublishedReg": "2008-01-01", 
    "description": "Over the past two decades, technological improvements have significantly advanced the role of multidetector computed tomography (MDCT) in noninvasive imaging of children with congenital heart disease (CHD). From the early use of helical CT for imaging congenital anomalies of the extracardiac thoracic vasculature (Hopkins et al. 1996; Westra et al. 1999), MDCT has become an important complementary modality to echocardiography and magnetic resonance imaging (MRI) for the morphologic evaluation of CHD (Goo et al. 2003). In addition, MDCT can now be used to assess coronary artery anatomy, measure regional and global cardiac function (Juergens et al. 2004), and provide morphologic and functional evaluation following operative and catheter intervention for many forms of congenital heart disease (Kawano et al. 2000). MDCT has rapidly evolved to systems which generate isotropic volume data and there are now much improved and faster post-processing techniques for visualizing the vasculature as compared with previously used methods.", 
    "editor": [
      {
        "familyName": "Donoghue", 
        "givenName": "Veronica", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-540-33749-2_17", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-540-33748-5", 
        "978-3-540-33749-2"
      ], 
      "name": "Radiological Imaging of the Neonatal Chest", 
      "type": "Book"
    }, 
    "name": "Computed Tomography in Congenital Heart Disease", 
    "pagination": "319-346", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1003582103"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-540-33749-2_17"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "11103a299d52e7d039d648d1363120d6bfc823c11a0f137c12d5a25179a468f8"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-540-33749-2_17", 
      "https://app.dimensions.ai/details/publication/pub.1003582103"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T08:00", 
    "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/v90/0000000359_0000000359/records_29186_00000000.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-3-540-33749-2_17"
  }
]
 

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.10.1007/978-3-540-33749-2_17'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-33749-2_17'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-33749-2_17'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-33749-2_17'


 

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

225 TRIPLES      23 PREDICATES      74 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-540-33749-2_17 schema:about anzsrc-for:11
2 anzsrc-for:1102
3 schema:author Ne3e82a5c8ba04e03a5f13b8957fe9f81
4 schema:citation sg:pub.10.1007/bf02021531
5 sg:pub.10.1007/s002460010180
6 sg:pub.10.1007/s002469900458
7 sg:pub.10.1007/s00247-002-0684-9
8 sg:pub.10.1007/s00247-004-1353-y
9 sg:pub.10.1007/s00247-005-0105-y
10 sg:pub.10.1007/s00247-005-1482-y
11 sg:pub.10.1007/s00247-006-0143-0
12 sg:pub.10.1007/s00247-006-0182-6
13 sg:pub.10.1007/s00330-001-1255-4
14 https://app.dimensions.ai/details/publication/pub.1079151727
15 https://doi.org/10.1002/ccd.20760
16 https://doi.org/10.1016/0002-8703(84)90092-9
17 https://doi.org/10.1016/0002-9149(82)90257-0
18 https://doi.org/10.1016/j.jtcvs.2004.08.030
19 https://doi.org/10.1016/s0003-4975(98)00952-7
20 https://doi.org/10.1016/s0003-4975(99)00064-8
21 https://doi.org/10.1016/s0003-4975(99)00311-2
22 https://doi.org/10.1016/s0022-5223(96)70269-6
23 https://doi.org/10.1016/s0033-8389(03)00036-8
24 https://doi.org/10.1016/s0895-6111(02)00010-1
25 https://doi.org/10.1017/s1047951100012439
26 https://doi.org/10.1017/s1047951102000082
27 https://doi.org/10.1111/j.1460-9592.2004.01221.x
28 https://doi.org/10.1136/heart.83.3.307
29 https://doi.org/10.1148/radiographics.14.2.8190958
30 https://doi.org/10.1148/radiographics.22.suppl_1.g02oc05s45
31 https://doi.org/10.1148/radiol.2293020999
32 https://doi.org/10.1148/radiol.2302030042
33 https://doi.org/10.1148/radiol.2303021726
34 https://doi.org/10.1148/radiol.2321030636
35 https://doi.org/10.1148/radiol.2332032107
36 https://doi.org/10.1148/radiol.2353040037
37 https://doi.org/10.1148/radiology.200.3.8756937
38 https://doi.org/10.1148/rg.23si035501
39 https://doi.org/10.1148/rg.262055068
40 https://doi.org/10.1161/01.cir.102.23.2823
41 https://doi.org/10.1161/01.cir.94.6.1379
42 https://doi.org/10.1161/hc0802.105563
43 https://doi.org/10.1253/circj.67.427
44 https://doi.org/10.1542/peds.101.1.108
45 https://doi.org/10.1542/peds.102.1.e7
46 https://doi.org/10.2214/ajr.173.1.10397109
47 https://doi.org/10.2214/ajr.175.5.1751381
48 https://doi.org/10.2214/ajr.176.2.1760303
49 https://doi.org/10.2214/ajr.183.1.1830183
50 https://doi.org/10.4065/77.1.55
51 schema:datePublished 2008
52 schema:datePublishedReg 2008-01-01
53 schema:description Over the past two decades, technological improvements have significantly advanced the role of multidetector computed tomography (MDCT) in noninvasive imaging of children with congenital heart disease (CHD). From the early use of helical CT for imaging congenital anomalies of the extracardiac thoracic vasculature (Hopkins et al. 1996; Westra et al. 1999), MDCT has become an important complementary modality to echocardiography and magnetic resonance imaging (MRI) for the morphologic evaluation of CHD (Goo et al. 2003). In addition, MDCT can now be used to assess coronary artery anatomy, measure regional and global cardiac function (Juergens et al. 2004), and provide morphologic and functional evaluation following operative and catheter intervention for many forms of congenital heart disease (Kawano et al. 2000). MDCT has rapidly evolved to systems which generate isotropic volume data and there are now much improved and faster post-processing techniques for visualizing the vasculature as compared with previously used methods.
54 schema:editor Naf3d71c2430b4257bf4b75a0f9e567ca
55 schema:genre chapter
56 schema:inLanguage en
57 schema:isAccessibleForFree false
58 schema:isPartOf N4e7ed5fcb1664e6dba82451a0a6dcfea
59 schema:name Computed Tomography in Congenital Heart Disease
60 schema:pagination 319-346
61 schema:productId N0819558780bc4e98895a6d6145fcb623
62 N9cc90b410e9d43c2a6a6c0b30059cb5f
63 Nee9eda4df50a4edb90abb31f0b03f533
64 schema:publisher N3ea61b0f0fbc4357a55fcb35855e32f7
65 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003582103
66 https://doi.org/10.1007/978-3-540-33749-2_17
67 schema:sdDatePublished 2019-04-16T08:00
68 schema:sdLicense https://scigraph.springernature.com/explorer/license/
69 schema:sdPublisher N597daf17c8b34b4c8cbc545466849bf1
70 schema:url https://link.springer.com/10.1007%2F978-3-540-33749-2_17
71 sgo:license sg:explorer/license/
72 sgo:sdDataset chapters
73 rdf:type schema:Chapter
74 N0819558780bc4e98895a6d6145fcb623 schema:name readcube_id
75 schema:value 11103a299d52e7d039d648d1363120d6bfc823c11a0f137c12d5a25179a468f8
76 rdf:type schema:PropertyValue
77 N259d89b6a0264757a0eadcc8637480ce schema:familyName Donoghue
78 schema:givenName Veronica
79 rdf:type schema:Person
80 N3ea61b0f0fbc4357a55fcb35855e32f7 schema:location Berlin, Heidelberg
81 schema:name Springer Berlin Heidelberg
82 rdf:type schema:Organisation
83 N4e7ed5fcb1664e6dba82451a0a6dcfea schema:isbn 978-3-540-33748-5
84 978-3-540-33749-2
85 schema:name Radiological Imaging of the Neonatal Chest
86 rdf:type schema:Book
87 N597daf17c8b34b4c8cbc545466849bf1 schema:name Springer Nature - SN SciGraph project
88 rdf:type schema:Organization
89 N9b34b912ce4a429b8c63e1567bf28300 rdf:first sg:person.0734225244.44
90 rdf:rest rdf:nil
91 N9cc90b410e9d43c2a6a6c0b30059cb5f schema:name dimensions_id
92 schema:value pub.1003582103
93 rdf:type schema:PropertyValue
94 Naf3d71c2430b4257bf4b75a0f9e567ca rdf:first N259d89b6a0264757a0eadcc8637480ce
95 rdf:rest rdf:nil
96 Ne3e82a5c8ba04e03a5f13b8957fe9f81 rdf:first sg:person.01163430707.00
97 rdf:rest N9b34b912ce4a429b8c63e1567bf28300
98 Nee9eda4df50a4edb90abb31f0b03f533 schema:name doi
99 schema:value 10.1007/978-3-540-33749-2_17
100 rdf:type schema:PropertyValue
101 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
102 schema:name Medical and Health Sciences
103 rdf:type schema:DefinedTerm
104 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
105 schema:name Cardiorespiratory Medicine and Haematology
106 rdf:type schema:DefinedTerm
107 sg:person.01163430707.00 schema:affiliation https://www.grid.ac/institutes/grid.2515.3
108 schema:familyName Sena
109 schema:givenName Laureen
110 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01163430707.00
111 rdf:type schema:Person
112 sg:person.0734225244.44 schema:affiliation https://www.grid.ac/institutes/grid.413967.e
113 schema:familyName Goo
114 schema:givenName Hyun Woo
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734225244.44
116 rdf:type schema:Person
117 sg:pub.10.1007/bf02021531 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038200809
118 https://doi.org/10.1007/bf02021531
119 rdf:type schema:CreativeWork
120 sg:pub.10.1007/s002460010180 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044172469
121 https://doi.org/10.1007/s002460010180
122 rdf:type schema:CreativeWork
123 sg:pub.10.1007/s002469900458 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046701826
124 https://doi.org/10.1007/s002469900458
125 rdf:type schema:CreativeWork
126 sg:pub.10.1007/s00247-002-0684-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045759241
127 https://doi.org/10.1007/s00247-002-0684-9
128 rdf:type schema:CreativeWork
129 sg:pub.10.1007/s00247-004-1353-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1050550711
130 https://doi.org/10.1007/s00247-004-1353-y
131 rdf:type schema:CreativeWork
132 sg:pub.10.1007/s00247-005-0105-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1009115020
133 https://doi.org/10.1007/s00247-005-0105-y
134 rdf:type schema:CreativeWork
135 sg:pub.10.1007/s00247-005-1482-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1038094918
136 https://doi.org/10.1007/s00247-005-1482-y
137 rdf:type schema:CreativeWork
138 sg:pub.10.1007/s00247-006-0143-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022497271
139 https://doi.org/10.1007/s00247-006-0143-0
140 rdf:type schema:CreativeWork
141 sg:pub.10.1007/s00247-006-0182-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019073452
142 https://doi.org/10.1007/s00247-006-0182-6
143 rdf:type schema:CreativeWork
144 sg:pub.10.1007/s00330-001-1255-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019491909
145 https://doi.org/10.1007/s00330-001-1255-4
146 rdf:type schema:CreativeWork
147 https://app.dimensions.ai/details/publication/pub.1079151727 schema:CreativeWork
148 https://doi.org/10.1002/ccd.20760 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038264342
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/0002-8703(84)90092-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012702061
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/0002-9149(82)90257-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049870225
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/j.jtcvs.2004.08.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044366950
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/s0003-4975(98)00952-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034770002
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/s0003-4975(99)00064-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049251464
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/s0003-4975(99)00311-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036971884
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/s0022-5223(96)70269-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032619019
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/s0033-8389(03)00036-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004279430
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/s0895-6111(02)00010-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041108945
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1017/s1047951100012439 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049899038
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1017/s1047951102000082 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040031861
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1111/j.1460-9592.2004.01221.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043436427
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1136/heart.83.3.307 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004701172
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1148/radiographics.14.2.8190958 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025446695
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1148/radiographics.22.suppl_1.g02oc05s45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030892902
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1148/radiol.2293020999 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006396079
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1148/radiol.2302030042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017596844
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1148/radiol.2303021726 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007957153
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1148/radiol.2321030636 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020989125
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1148/radiol.2332032107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007658135
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1148/radiol.2353040037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041621786
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1148/radiology.200.3.8756937 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082940320
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1148/rg.23si035501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030819015
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1148/rg.262055068 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052162982
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1161/01.cir.102.23.2823 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048576794
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1161/01.cir.94.6.1379 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063337491
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1161/hc0802.105563 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030159452
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1253/circj.67.427 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052478621
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1542/peds.101.1.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067819329
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1542/peds.102.1.e7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067819590
209 rdf:type schema:CreativeWork
210 https://doi.org/10.2214/ajr.173.1.10397109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069322498
211 rdf:type schema:CreativeWork
212 https://doi.org/10.2214/ajr.175.5.1751381 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069323613
213 rdf:type schema:CreativeWork
214 https://doi.org/10.2214/ajr.176.2.1760303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069323773
215 rdf:type schema:CreativeWork
216 https://doi.org/10.2214/ajr.183.1.1830183 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069326234
217 rdf:type schema:CreativeWork
218 https://doi.org/10.4065/77.1.55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036581472
219 rdf:type schema:CreativeWork
220 https://www.grid.ac/institutes/grid.2515.3 schema:alternateName Boston Children's Hospital
221 schema:name Department of Radiology, Children’s Hospital, Boston, 300 Longwood Avenue, 02115, Boston, MA, USA
222 rdf:type schema:Organization
223 https://www.grid.ac/institutes/grid.413967.e schema:alternateName Asan Medical Center
224 schema:name Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 388-1 Songpa-gu Poongnap-2dong, Seoul, Korea
225 rdf:type schema:Organization
 




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


...