Klinische MRT bei 3 Tesla: Aktueller Stand View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2004-01

AUTHORS

K. T. Baudendistel, J. T. Heverhagen, M. V. Knopp

ABSTRACT

Clinical MRI is mostly performed at field strengths up to 1.5 Tesla (T). Recently, approved clinical whole-body MR-systems with a field strength of 3 T became available. Its installation base is more rapidly growing than anticipated. While site requirements and operation of these systems do not differ substantially from systems with lower field strength, there are differences in practical applications. Imaging applications can use the gain in signal-to-noise for increased spatial resolution or gain in speed. This comes at a trade off in increased sensitivity to field inhomogeneities and changes in relaxation times, which lead to changes in image contrast. The benefit of high field for spectroscopy consists in increased signal-to-noise-ratio and improvement in frequency resolution. The increase in energy deposition necessitates the use of special strategies to reduce the specific absorption rate (SAR). This paper summarizes the current state of MR at 3 T. More... »

PAGES

11-18

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00117-003-0995-3

DOI

http://dx.doi.org/10.1007/s00117-003-0995-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1001773648

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/14740092


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/2008/0299", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Other Physical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/02", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Artifacts", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Brain", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Brain Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Equipment Design", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Image Enhancement", 
        "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": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "The Ohio State University", 
          "id": "https://www.grid.ac/institutes/grid.261331.4", 
          "name": [
            "Department of Radiology, College of Medicine\u2014The Ohio State University", 
            "Division of Imaging Research, Department of Radiology, College of Medicine, The Ohio State University, 1654 Upham Drive, 646, Means Hall, Columbus, Ohio 43210, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Baudendistel", 
        "givenName": "K. T.", 
        "id": "sg:person.01047242624.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01047242624.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Ohio State University", 
          "id": "https://www.grid.ac/institutes/grid.261331.4", 
          "name": [
            "Department of Radiology, College of Medicine\u2014The Ohio State University"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Heverhagen", 
        "givenName": "J. T.", 
        "id": "sg:person.01227341013.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227341013.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Ohio State University", 
          "id": "https://www.grid.ac/institutes/grid.261331.4", 
          "name": [
            "Department of Radiology, College of Medicine\u2014The Ohio State University"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Knopp", 
        "givenName": "M. V.", 
        "id": "sg:person.01014204767.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014204767.64"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1097/01.rli.0000065425.29042.8d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000023344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.rli.0000065425.29042.8d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000023344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.rli.0000065425.29042.8d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000023344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.1104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000417346"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1522-2586(199904)9:4<531::aid-jmri4>3.0.co;2-l", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001858390"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nbm.1940010308", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009147861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004728-200011000-00023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011461832"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004728-200011000-00023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011461832"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2212001823", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011922024"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004424-200307000-00010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014548165"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00002142-200106000-00005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018177947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00002142-200106000-00005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018177947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.1910080113", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018440668"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.rli.0000067489.31556.70", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018899241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.rli.0000067489.31556.70", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018899241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.1081", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019440867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.1282", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020509157"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.rli.0000069790.89435.e7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023451029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.rli.0000069790.89435.e7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023451029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003300000598", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024249040", 
          "https://doi.org/10.1007/s003300000598"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1522-2594(200012)44:6<978::aid-mrm22>3.0.co;2-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024711257"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nbm.713", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026881428"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1522-2594(199911)42:5<952::aid-mrm16>3.0.co;2-s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029323697"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1076-6332(03)00015-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030886654"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1076-6332(03)00015-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030886654"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.1910380220", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034432596"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.1910030602", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034438528"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004424-200307000-00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035442423"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004424-200307000-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035799655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.87.24.9868", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036416873"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.rli.0000073442.88269.c9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038666797"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.rli.0000073442.88269.c9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038666797"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004424-200307000-00005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038723850"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.595535", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038765597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-2364(88)90131-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039520918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.1153", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040254046"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s117-002-8118-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041062648", 
          "https://doi.org/10.1007/s117-002-8118-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0730-725x(02)00486-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042020121"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004424-198403000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042366718"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004424-198403000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042366718"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004424-200203000-00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044661542"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004424-200203000-00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044661542"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.10240", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052149012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004728-199911000-00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060189695"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004728-199911000-00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060189695"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004728-199911000-00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060189695"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074481677", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074944185", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2004-01", 
    "datePublishedReg": "2004-01-01", 
    "description": "Clinical MRI is mostly performed at field strengths up to 1.5 Tesla (T). Recently, approved clinical whole-body MR-systems with a field strength of 3 T became available. Its installation base is more rapidly growing than anticipated. While site requirements and operation of these systems do not differ substantially from systems with lower field strength, there are differences in practical applications. Imaging applications can use the gain in signal-to-noise for increased spatial resolution or gain in speed. This comes at a trade off in increased sensitivity to field inhomogeneities and changes in relaxation times, which lead to changes in image contrast. The benefit of high field for spectroscopy consists in increased signal-to-noise-ratio and improvement in frequency resolution. The increase in energy deposition necessitates the use of special strategies to reduce the specific absorption rate (SAR). This paper summarizes the current state of MR at 3 T.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00117-003-0995-3", 
    "inLanguage": [
      "de"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1018339", 
        "issn": [
          "0033-832X", 
          "1432-2102"
        ], 
        "name": "Der Radiologe", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "44"
      }
    ], 
    "name": "Klinische MRT bei 3 Tesla: Aktueller Stand", 
    "pagination": "11-18", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "08727ba6a3ac046ab1e2c978a31f3837f2b57c941696a5401b1c25a2baeba238"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "14740092"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0401257"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00117-003-0995-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1001773648"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00117-003-0995-3", 
      "https://app.dimensions.ai/details/publication/pub.1001773648"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T23:17", 
    "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_8693_00000479.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00117-003-0995-3"
  }
]
 

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/s00117-003-0995-3'

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/s00117-003-0995-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00117-003-0995-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00117-003-0995-3'


 

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

228 TRIPLES      21 PREDICATES      74 URIs      30 LITERALS      18 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00117-003-0995-3 schema:about N1848adad32fe4947b20132d52a2f025d
2 N5a0e2c89c67e473db3b8387f71fed19f
3 N71f3d443155b4d59bf358290e343fbac
4 N7224bfe3e5e44ce599b8db1bcd081c07
5 N8ea1149dd7ee400388dba027c6c0fbf0
6 Nb465a4b69b1445b5ba64644e2a18c31d
7 Nbcbb4a20f47b48bb83cbbe51e4129612
8 Nc48c0288c2d745c98612957664b30c8d
9 Nfbd4cb4317b74c8aaef463974bbf1916
10 anzsrc-for:02
11 anzsrc-for:0299
12 schema:author N249d85611fb84c968b6a2aa37ae0b881
13 schema:citation sg:pub.10.1007/s003300000598
14 sg:pub.10.1007/s117-002-8118-7
15 https://app.dimensions.ai/details/publication/pub.1074481677
16 https://app.dimensions.ai/details/publication/pub.1074944185
17 https://doi.org/10.1002/(sici)1522-2586(199904)9:4<531::aid-jmri4>3.0.co;2-l
18 https://doi.org/10.1002/(sici)1522-2594(199911)42:5<952::aid-mrm16>3.0.co;2-s
19 https://doi.org/10.1002/1522-2594(200012)44:6<978::aid-mrm22>3.0.co;2-9
20 https://doi.org/10.1002/mrm.10240
21 https://doi.org/10.1002/mrm.1081
22 https://doi.org/10.1002/mrm.1104
23 https://doi.org/10.1002/mrm.1153
24 https://doi.org/10.1002/mrm.1282
25 https://doi.org/10.1002/mrm.1910030602
26 https://doi.org/10.1002/mrm.1910080113
27 https://doi.org/10.1002/mrm.1910380220
28 https://doi.org/10.1002/nbm.1940010308
29 https://doi.org/10.1002/nbm.713
30 https://doi.org/10.1016/0022-2364(88)90131-x
31 https://doi.org/10.1016/s0730-725x(02)00486-1
32 https://doi.org/10.1016/s1076-6332(03)00015-1
33 https://doi.org/10.1073/pnas.87.24.9868
34 https://doi.org/10.1097/00002142-200106000-00005
35 https://doi.org/10.1097/00004424-198403000-00002
36 https://doi.org/10.1097/00004424-200203000-00003
37 https://doi.org/10.1097/00004424-200307000-00003
38 https://doi.org/10.1097/00004424-200307000-00005
39 https://doi.org/10.1097/00004424-200307000-00009
40 https://doi.org/10.1097/00004424-200307000-00010
41 https://doi.org/10.1097/00004728-199911000-00003
42 https://doi.org/10.1097/00004728-200011000-00023
43 https://doi.org/10.1097/01.rli.0000065425.29042.8d
44 https://doi.org/10.1097/01.rli.0000067489.31556.70
45 https://doi.org/10.1097/01.rli.0000069790.89435.e7
46 https://doi.org/10.1097/01.rli.0000073442.88269.c9
47 https://doi.org/10.1118/1.595535
48 https://doi.org/10.1148/radiol.2212001823
49 schema:datePublished 2004-01
50 schema:datePublishedReg 2004-01-01
51 schema:description Clinical MRI is mostly performed at field strengths up to 1.5 Tesla (T). Recently, approved clinical whole-body MR-systems with a field strength of 3 T became available. Its installation base is more rapidly growing than anticipated. While site requirements and operation of these systems do not differ substantially from systems with lower field strength, there are differences in practical applications. Imaging applications can use the gain in signal-to-noise for increased spatial resolution or gain in speed. This comes at a trade off in increased sensitivity to field inhomogeneities and changes in relaxation times, which lead to changes in image contrast. The benefit of high field for spectroscopy consists in increased signal-to-noise-ratio and improvement in frequency resolution. The increase in energy deposition necessitates the use of special strategies to reduce the specific absorption rate (SAR). This paper summarizes the current state of MR at 3 T.
52 schema:genre research_article
53 schema:inLanguage de
54 schema:isAccessibleForFree false
55 schema:isPartOf N3ec845e94a83458bbfe2b6d067617f64
56 N5f1611e3239d4013a80ef48c70e98a40
57 sg:journal.1018339
58 schema:name Klinische MRT bei 3 Tesla: Aktueller Stand
59 schema:pagination 11-18
60 schema:productId N458a0904573e432d98ad7540416d132e
61 N5daf43e0f9874987aa616a351dda7cdf
62 N6c3773ace32242ab8f413f33dd13080d
63 N8de310787dbe41bf8a941327db70606e
64 Nc7976d41f91d4c828de812e78b341764
65 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001773648
66 https://doi.org/10.1007/s00117-003-0995-3
67 schema:sdDatePublished 2019-04-10T23:17
68 schema:sdLicense https://scigraph.springernature.com/explorer/license/
69 schema:sdPublisher N7894db7c0a7044e8b1dd9fb9baf96d26
70 schema:url http://link.springer.com/10.1007/s00117-003-0995-3
71 sgo:license sg:explorer/license/
72 sgo:sdDataset articles
73 rdf:type schema:ScholarlyArticle
74 N1848adad32fe4947b20132d52a2f025d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Brain Diseases
76 rdf:type schema:DefinedTerm
77 N249d85611fb84c968b6a2aa37ae0b881 rdf:first sg:person.01047242624.96
78 rdf:rest Na13a57fd84fa49ca8e0b6bc0e23213f1
79 N3ec845e94a83458bbfe2b6d067617f64 schema:issueNumber 1
80 rdf:type schema:PublicationIssue
81 N458a0904573e432d98ad7540416d132e schema:name dimensions_id
82 schema:value pub.1001773648
83 rdf:type schema:PropertyValue
84 N5a0e2c89c67e473db3b8387f71fed19f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Equipment Design
86 rdf:type schema:DefinedTerm
87 N5ca97ea7f28c46ba87e18b9de2eb34b5 rdf:first sg:person.01014204767.64
88 rdf:rest rdf:nil
89 N5daf43e0f9874987aa616a351dda7cdf schema:name doi
90 schema:value 10.1007/s00117-003-0995-3
91 rdf:type schema:PropertyValue
92 N5f1611e3239d4013a80ef48c70e98a40 schema:volumeNumber 44
93 rdf:type schema:PublicationVolume
94 N6c3773ace32242ab8f413f33dd13080d schema:name readcube_id
95 schema:value 08727ba6a3ac046ab1e2c978a31f3837f2b57c941696a5401b1c25a2baeba238
96 rdf:type schema:PropertyValue
97 N71f3d443155b4d59bf358290e343fbac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Image Processing, Computer-Assisted
99 rdf:type schema:DefinedTerm
100 N7224bfe3e5e44ce599b8db1bcd081c07 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Sensitivity and Specificity
102 rdf:type schema:DefinedTerm
103 N7894db7c0a7044e8b1dd9fb9baf96d26 schema:name Springer Nature - SN SciGraph project
104 rdf:type schema:Organization
105 N8de310787dbe41bf8a941327db70606e schema:name pubmed_id
106 schema:value 14740092
107 rdf:type schema:PropertyValue
108 N8ea1149dd7ee400388dba027c6c0fbf0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Brain
110 rdf:type schema:DefinedTerm
111 Na13a57fd84fa49ca8e0b6bc0e23213f1 rdf:first sg:person.01227341013.74
112 rdf:rest N5ca97ea7f28c46ba87e18b9de2eb34b5
113 Nb465a4b69b1445b5ba64644e2a18c31d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Humans
115 rdf:type schema:DefinedTerm
116 Nbcbb4a20f47b48bb83cbbe51e4129612 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Image Enhancement
118 rdf:type schema:DefinedTerm
119 Nc48c0288c2d745c98612957664b30c8d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Magnetic Resonance Imaging
121 rdf:type schema:DefinedTerm
122 Nc7976d41f91d4c828de812e78b341764 schema:name nlm_unique_id
123 schema:value 0401257
124 rdf:type schema:PropertyValue
125 Nfbd4cb4317b74c8aaef463974bbf1916 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Artifacts
127 rdf:type schema:DefinedTerm
128 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
129 schema:name Physical Sciences
130 rdf:type schema:DefinedTerm
131 anzsrc-for:0299 schema:inDefinedTermSet anzsrc-for:
132 schema:name Other Physical Sciences
133 rdf:type schema:DefinedTerm
134 sg:journal.1018339 schema:issn 0033-832X
135 1432-2102
136 schema:name Der Radiologe
137 rdf:type schema:Periodical
138 sg:person.01014204767.64 schema:affiliation https://www.grid.ac/institutes/grid.261331.4
139 schema:familyName Knopp
140 schema:givenName M. V.
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014204767.64
142 rdf:type schema:Person
143 sg:person.01047242624.96 schema:affiliation https://www.grid.ac/institutes/grid.261331.4
144 schema:familyName Baudendistel
145 schema:givenName K. T.
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01047242624.96
147 rdf:type schema:Person
148 sg:person.01227341013.74 schema:affiliation https://www.grid.ac/institutes/grid.261331.4
149 schema:familyName Heverhagen
150 schema:givenName J. T.
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227341013.74
152 rdf:type schema:Person
153 sg:pub.10.1007/s003300000598 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024249040
154 https://doi.org/10.1007/s003300000598
155 rdf:type schema:CreativeWork
156 sg:pub.10.1007/s117-002-8118-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041062648
157 https://doi.org/10.1007/s117-002-8118-7
158 rdf:type schema:CreativeWork
159 https://app.dimensions.ai/details/publication/pub.1074481677 schema:CreativeWork
160 https://app.dimensions.ai/details/publication/pub.1074944185 schema:CreativeWork
161 https://doi.org/10.1002/(sici)1522-2586(199904)9:4<531::aid-jmri4>3.0.co;2-l schema:sameAs https://app.dimensions.ai/details/publication/pub.1001858390
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1002/(sici)1522-2594(199911)42:5<952::aid-mrm16>3.0.co;2-s schema:sameAs https://app.dimensions.ai/details/publication/pub.1029323697
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1002/1522-2594(200012)44:6<978::aid-mrm22>3.0.co;2-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024711257
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1002/mrm.10240 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052149012
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1002/mrm.1081 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019440867
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1002/mrm.1104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000417346
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1002/mrm.1153 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040254046
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1002/mrm.1282 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020509157
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1002/mrm.1910030602 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034438528
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1002/mrm.1910080113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018440668
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1002/mrm.1910380220 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034432596
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1002/nbm.1940010308 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009147861
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1002/nbm.713 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026881428
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1016/0022-2364(88)90131-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1039520918
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1016/s0730-725x(02)00486-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042020121
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1016/s1076-6332(03)00015-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030886654
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1073/pnas.87.24.9868 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036416873
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1097/00002142-200106000-00005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018177947
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1097/00004424-198403000-00002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042366718
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1097/00004424-200203000-00003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044661542
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1097/00004424-200307000-00003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035442423
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1097/00004424-200307000-00005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038723850
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1097/00004424-200307000-00009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035799655
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1097/00004424-200307000-00010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014548165
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1097/00004728-199911000-00003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060189695
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1097/00004728-200011000-00023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011461832
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1097/01.rli.0000065425.29042.8d schema:sameAs https://app.dimensions.ai/details/publication/pub.1000023344
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1097/01.rli.0000067489.31556.70 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018899241
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1097/01.rli.0000069790.89435.e7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023451029
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1097/01.rli.0000073442.88269.c9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038666797
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1118/1.595535 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038765597
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1148/radiol.2212001823 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011922024
224 rdf:type schema:CreativeWork
225 https://www.grid.ac/institutes/grid.261331.4 schema:alternateName The Ohio State University
226 schema:name Department of Radiology, College of Medicine—The Ohio State University
227 Division of Imaging Research, Department of Radiology, College of Medicine, The Ohio State University, 1654 Upham Drive, 646, Means Hall, Columbus, Ohio 43210, USA
228 rdf:type schema:Organization
 




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


...