Zoomed echo-planar diffusion tensor imaging for MR tractography of the prostate gland neurovascular bundle without an endorectal coil: a feasibility ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-01-02

AUTHORS

Justin M. Ream, Christopher Glielmi, Mariana Lazar, Naomi Campbell, Josef Pfeuffer, Rainer Schneider, Andrew B. Rosenkrantz

ABSTRACT

PurposeThe purpose of this study was to assess the feasibility of zoomed echo-planar imaging (EPI) diffusion tensor imaging (DTI) with 2-channel parallel transmission (pTx) for MR tractography of the periprostatic neurovascular bundle (NVB) without an endorectal coil, and to compare its performance to that of conventionally acquired DTI.Methods8 healthy males (28.9 ± 4.6 years) underwent pelvic phased-array coil prostate MRI on a 3T system using both zoomed-EPI DTI (z-DTI) with 2-channel pTx and conventional single-shot spin-echo EPI DTI (c-DTI) acquisitions with 6 encoding directions and b-values of 0 and 1000 s/mm2. Fractional anisotropy (FA) maps and tractography analysis incorporating 3D visualization of the NVB were performed from each acquisition. Fiber tract counts, estimated signal-to-noise ratio (eSNR), and image quality measures of the FA maps and NVB tractography were compared. Quantitative and image quality measures were compared using Wilcoxon signed rank tests.Results3 of 8 subjects had no tracts detected with c-DTI acquisition, while all 8 had tracts detected with z-DTI. z-DTI acquisition yielded significantly more fiber tracts (c-DTI: 77 ± 116 tracts; z-DTI: 430 ± 228 tracts; p = 0.019) and higher eSNR (c-DTI: 2.9 ± 1.2; z-DTI: 13.17 ± 9.9; p = 0.014). Relative to c-DTI acquisitions, z-DTI FA maps showed significantly reduced artifact (p = 0.008) and reduced anatomic distortion of the prostate (p = 0.010), while z-DTI tractography showed significantly better overall visual quality (p = 0.011), tract symmetry (p = 0.010), tract coherence (p = 0.011), and subjective similarity to the actual NVB (p = 0.011).ConclusionZoomed-EPI DTI acquisition for tractography of the prostate gland NVB improves quantitative and qualitative measures of image and tract fiber quality, allowing tractography of the NVB at 3T without using an endorectal coil. More... »

PAGES

919-925

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00261-015-0587-5

DOI

http://dx.doi.org/10.1007/s00261-015-0587-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1016315379

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27193790


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

JSON-LD is the canonical representation for SciGraph data.

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

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Algorithms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Anisotropy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diffusion Tensor Imaging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Echo-Planar Imaging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Feasibility Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Image Processing, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Imaging, Three-Dimensional", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nerve Fibers, Myelinated", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prostate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prostatectomy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Signal-To-Noise Ratio", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Radiology, New York University School of Medicine, NYU Langone Medical Center, 660 1st Avenue, 10016, New York, NY, USA", 
          "id": "http://www.grid.ac/institutes/grid.137628.9", 
          "name": [
            "Department of Radiology, New York University School of Medicine, NYU Langone Medical Center, 660 1st Avenue, 10016, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ream", 
        "givenName": "Justin M.", 
        "id": "sg:person.0602531554.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602531554.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Siemens Healthcare, New York, NY, USA", 
          "id": "http://www.grid.ac/institutes/grid.415886.6", 
          "name": [
            "Siemens Healthcare, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Glielmi", 
        "givenName": "Christopher", 
        "id": "sg:person.01142225316.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01142225316.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, New York University School of Medicine, NYU Langone Medical Center, 660 1st Avenue, 10016, New York, NY, USA", 
          "id": "http://www.grid.ac/institutes/grid.137628.9", 
          "name": [
            "Department of Radiology, New York University School of Medicine, NYU Langone Medical Center, 660 1st Avenue, 10016, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lazar", 
        "givenName": "Mariana", 
        "id": "sg:person.01353320715.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353320715.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA", 
          "id": "http://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Radiology, New York University School of Medicine, NYU Langone Medical Center, 660 1st Avenue, 10016, New York, NY, USA", 
            "Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Campbell", 
        "givenName": "Naomi", 
        "id": "sg:person.0743426670.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743426670.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Imaging and Therapy Division, Siemens AG Healthcare Sector, Erlangen, Germany", 
          "id": "http://www.grid.ac/institutes/grid.5406.7", 
          "name": [
            "Imaging and Therapy Division, Siemens AG Healthcare Sector, Erlangen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pfeuffer", 
        "givenName": "Josef", 
        "id": "sg:person.0735211553.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735211553.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Imaging and Therapy Division, Siemens AG Healthcare Sector, Erlangen, Germany", 
          "id": "http://www.grid.ac/institutes/grid.5406.7", 
          "name": [
            "Imaging and Therapy Division, Siemens AG Healthcare Sector, Erlangen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schneider", 
        "givenName": "Rainer", 
        "id": "sg:person.01343475464.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343475464.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, New York University School of Medicine, NYU Langone Medical Center, 660 1st Avenue, 10016, New York, NY, USA", 
          "id": "http://www.grid.ac/institutes/grid.137628.9", 
          "name": [
            "Department of Radiology, New York University School of Medicine, NYU Langone Medical Center, 660 1st Avenue, 10016, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rosenkrantz", 
        "givenName": "Andrew B.", 
        "id": "sg:person.01177474310.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01177474310.75"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00330-012-2710-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035400675", 
          "https://doi.org/10.1007/s00330-012-2710-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00345-010-0579-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005202882", 
          "https://doi.org/10.1007/s00345-010-0579-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-014-3347-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044918032", 
          "https://doi.org/10.1007/s00330-014-3347-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00261-014-0181-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034152646", 
          "https://doi.org/10.1007/s00261-014-0181-2"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-01-02", 
    "datePublishedReg": "2016-01-02", 
    "description": "PurposeThe purpose of this study was to assess the feasibility of zoomed echo-planar imaging (EPI) diffusion tensor imaging (DTI) with 2-channel parallel transmission (pTx) for MR tractography of the periprostatic neurovascular bundle (NVB) without an endorectal coil, and to compare its performance to that of conventionally acquired DTI.Methods8 healthy males (28.9\u00a0\u00b1\u00a04.6\u00a0years) underwent pelvic phased-array coil prostate MRI on a 3T system using both zoomed-EPI DTI (z-DTI) with 2-channel pTx and conventional single-shot spin-echo EPI DTI (c-DTI) acquisitions with 6 encoding directions and b-values of 0 and 1000\u00a0s/mm2. Fractional anisotropy (FA) maps and tractography analysis incorporating 3D visualization of the NVB were performed from each acquisition. Fiber tract counts, estimated signal-to-noise ratio (eSNR), and image quality measures of the FA maps and NVB tractography were compared. Quantitative and image quality measures were compared using Wilcoxon signed rank tests.Results3 of 8 subjects had no tracts detected with c-DTI acquisition, while all 8 had tracts detected with z-DTI. z-DTI acquisition yielded significantly more fiber tracts (c-DTI: 77\u00a0\u00b1\u00a0116 tracts; z-DTI: 430\u00a0\u00b1\u00a0228 tracts; p\u00a0=\u00a00.019) and higher eSNR (c-DTI: 2.9\u00a0\u00b1\u00a01.2; z-DTI: 13.17\u00a0\u00b1\u00a09.9; p\u00a0=\u00a00.014). Relative to c-DTI acquisitions, z-DTI FA maps showed significantly reduced artifact (p\u00a0=\u00a00.008) and reduced anatomic distortion of the prostate (p\u00a0=\u00a00.010), while z-DTI tractography showed significantly better overall visual quality (p\u00a0=\u00a00.011), tract symmetry (p\u00a0=\u00a00.010), tract coherence (p\u00a0=\u00a00.011), and subjective similarity to the actual NVB (p\u00a0=\u00a00.011).ConclusionZoomed-EPI DTI acquisition for tractography of the prostate gland NVB improves quantitative and qualitative measures of image and tract fiber quality, allowing tractography of the NVB at 3T without using an endorectal coil.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00261-015-0587-5", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1297457", 
        "issn": [
          "2366-004X", 
          "2366-0058"
        ], 
        "name": "Abdominal Radiology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "41"
      }
    ], 
    "keywords": [
      "coil", 
      "feasibility study", 
      "noise ratio", 
      "DTI acquisitions", 
      "image quality measures", 
      "overall visual quality", 
      "parallel transmission", 
      "performance", 
      "feasibility", 
      "mm2", 
      "endorectal coil", 
      "fiber quality", 
      "direction", 
      "maps", 
      "diffusion tensor imaging", 
      "distortion", 
      "signals", 
      "tensor", 
      "ratio", 
      "quality", 
      "neurovascular bundle", 
      "system", 
      "test", 
      "bundles", 
      "MR tractography", 
      "images", 
      "visualization", 
      "acquisition", 
      "anisotropy maps", 
      "visual quality", 
      "values", 
      "FA maps", 
      "diffusion tensor", 
      "transmission", 
      "periprostatic neurovascular bundle", 
      "analysis", 
      "eSNR", 
      "qualitative measures", 
      "study", 
      "quality measures", 
      "healthy males", 
      "fractional anisotropy (FA) maps", 
      "anatomic distortion", 
      "DTI tractography", 
      "purpose", 
      "tensor imaging", 
      "tract count", 
      "fiber tracts", 
      "artifacts", 
      "tract coherence", 
      "imaging", 
      "prostate MRI", 
      "tract", 
      "PurposeThe purpose", 
      "tractography", 
      "rank test", 
      "symmetry", 
      "coherence", 
      "measures", 
      "prostate", 
      "MRI", 
      "Wilcoxon", 
      "males", 
      "counts", 
      "subjects", 
      "similarity", 
      "better overall visual quality", 
      "subjective similarity", 
      "zoomed echo-planar imaging (EPI) diffusion tensor imaging", 
      "echo-planar imaging (EPI) diffusion tensor imaging", 
      "imaging (EPI) diffusion tensor imaging", 
      "Methods8 healthy males", 
      "pelvic phased-array coil prostate MRI", 
      "phased-array coil prostate MRI", 
      "coil prostate MRI", 
      "zoomed-EPI DTI", 
      "z-DTI", 
      "conventional single-shot spin-echo EPI DTI (c-DTI) acquisitions", 
      "single-shot spin-echo EPI DTI (c-DTI) acquisitions", 
      "spin-echo EPI DTI (c-DTI) acquisitions", 
      "EPI DTI (c-DTI) acquisitions", 
      "Fiber tract counts", 
      "NVB tractography", 
      "Results3", 
      "more fiber tracts", 
      "higher eSNR", 
      "DTI FA maps", 
      "tract symmetry", 
      "actual NVB", 
      "ConclusionZoomed-EPI DTI acquisition", 
      "prostate gland NVB", 
      "gland NVB", 
      "tract fiber quality", 
      "Zoomed echo-planar diffusion tensor", 
      "echo-planar diffusion tensor"
    ], 
    "name": "Zoomed echo-planar diffusion tensor imaging for MR tractography of the prostate gland neurovascular bundle without an endorectal coil: a feasibility study", 
    "pagination": "919-925", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1016315379"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00261-015-0587-5"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27193790"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00261-015-0587-5", 
      "https://app.dimensions.ai/details/publication/pub.1016315379"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:38", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_686.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00261-015-0587-5"
  }
]
 

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/s00261-015-0587-5'

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/s00261-015-0587-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00261-015-0587-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00261-015-0587-5'


 

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

281 TRIPLES      22 PREDICATES      139 URIs      127 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00261-015-0587-5 schema:about N0e9fdb2c8a584ab79cc1fd8d491914d4
2 N1ab9095a5f0b431396ab7f71abd186ec
3 N25d1c8f55990435d903c564049f4dd26
4 N294496e442ea4debbce156587e6bfb94
5 N625b53de686b42798375510a91663dd8
6 N7147f76e84eb407a8450bcd1d187d680
7 N740931be2cd34965973c076f624ac6cc
8 N77a73027b32e4b05b6d60f2dd55478d9
9 N7e13fb6d386f42ab8d1c8db71fd991e9
10 Na0c9931bbb3d4510b705a4a9cb2f6de0
11 Na7cb8bf222c3400e9634ec17b8b198be
12 Naca6ae3f2fe7443aab9d966ec53941f4
13 Nc187116f3e0a4a36abd9bd6fc7cd0aa8
14 Nf7688736de784dcdaa0bc3ce4233ef90
15 anzsrc-for:11
16 anzsrc-for:1103
17 schema:author Ne13b8767df054b4db6bb67d064cc886d
18 schema:citation sg:pub.10.1007/s00261-014-0181-2
19 sg:pub.10.1007/s00330-012-2710-0
20 sg:pub.10.1007/s00330-014-3347-y
21 sg:pub.10.1007/s00345-010-0579-6
22 schema:datePublished 2016-01-02
23 schema:datePublishedReg 2016-01-02
24 schema:description PurposeThe purpose of this study was to assess the feasibility of zoomed echo-planar imaging (EPI) diffusion tensor imaging (DTI) with 2-channel parallel transmission (pTx) for MR tractography of the periprostatic neurovascular bundle (NVB) without an endorectal coil, and to compare its performance to that of conventionally acquired DTI.Methods8 healthy males (28.9 ± 4.6 years) underwent pelvic phased-array coil prostate MRI on a 3T system using both zoomed-EPI DTI (z-DTI) with 2-channel pTx and conventional single-shot spin-echo EPI DTI (c-DTI) acquisitions with 6 encoding directions and b-values of 0 and 1000 s/mm2. Fractional anisotropy (FA) maps and tractography analysis incorporating 3D visualization of the NVB were performed from each acquisition. Fiber tract counts, estimated signal-to-noise ratio (eSNR), and image quality measures of the FA maps and NVB tractography were compared. Quantitative and image quality measures were compared using Wilcoxon signed rank tests.Results3 of 8 subjects had no tracts detected with c-DTI acquisition, while all 8 had tracts detected with z-DTI. z-DTI acquisition yielded significantly more fiber tracts (c-DTI: 77 ± 116 tracts; z-DTI: 430 ± 228 tracts; p = 0.019) and higher eSNR (c-DTI: 2.9 ± 1.2; z-DTI: 13.17 ± 9.9; p = 0.014). Relative to c-DTI acquisitions, z-DTI FA maps showed significantly reduced artifact (p = 0.008) and reduced anatomic distortion of the prostate (p = 0.010), while z-DTI tractography showed significantly better overall visual quality (p = 0.011), tract symmetry (p = 0.010), tract coherence (p = 0.011), and subjective similarity to the actual NVB (p = 0.011).ConclusionZoomed-EPI DTI acquisition for tractography of the prostate gland NVB improves quantitative and qualitative measures of image and tract fiber quality, allowing tractography of the NVB at 3T without using an endorectal coil.
25 schema:genre article
26 schema:inLanguage en
27 schema:isAccessibleForFree false
28 schema:isPartOf N4980cddc6a3347a7b80af290d4db54d1
29 Ncb1f8817e0434f21bcfa0ec414523e97
30 sg:journal.1297457
31 schema:keywords ConclusionZoomed-EPI DTI acquisition
32 DTI FA maps
33 DTI acquisitions
34 DTI tractography
35 EPI DTI (c-DTI) acquisitions
36 FA maps
37 Fiber tract counts
38 MR tractography
39 MRI
40 Methods8 healthy males
41 NVB tractography
42 PurposeThe purpose
43 Results3
44 Wilcoxon
45 Zoomed echo-planar diffusion tensor
46 acquisition
47 actual NVB
48 analysis
49 anatomic distortion
50 anisotropy maps
51 artifacts
52 better overall visual quality
53 bundles
54 coherence
55 coil
56 coil prostate MRI
57 conventional single-shot spin-echo EPI DTI (c-DTI) acquisitions
58 counts
59 diffusion tensor
60 diffusion tensor imaging
61 direction
62 distortion
63 eSNR
64 echo-planar diffusion tensor
65 echo-planar imaging (EPI) diffusion tensor imaging
66 endorectal coil
67 feasibility
68 feasibility study
69 fiber quality
70 fiber tracts
71 fractional anisotropy (FA) maps
72 gland NVB
73 healthy males
74 higher eSNR
75 image quality measures
76 images
77 imaging
78 imaging (EPI) diffusion tensor imaging
79 males
80 maps
81 measures
82 mm2
83 more fiber tracts
84 neurovascular bundle
85 noise ratio
86 overall visual quality
87 parallel transmission
88 pelvic phased-array coil prostate MRI
89 performance
90 periprostatic neurovascular bundle
91 phased-array coil prostate MRI
92 prostate
93 prostate MRI
94 prostate gland NVB
95 purpose
96 qualitative measures
97 quality
98 quality measures
99 rank test
100 ratio
101 signals
102 similarity
103 single-shot spin-echo EPI DTI (c-DTI) acquisitions
104 spin-echo EPI DTI (c-DTI) acquisitions
105 study
106 subjective similarity
107 subjects
108 symmetry
109 system
110 tensor
111 tensor imaging
112 test
113 tract
114 tract coherence
115 tract count
116 tract fiber quality
117 tract symmetry
118 tractography
119 transmission
120 values
121 visual quality
122 visualization
123 z-DTI
124 zoomed echo-planar imaging (EPI) diffusion tensor imaging
125 zoomed-EPI DTI
126 schema:name Zoomed echo-planar diffusion tensor imaging for MR tractography of the prostate gland neurovascular bundle without an endorectal coil: a feasibility study
127 schema:pagination 919-925
128 schema:productId N0b0f0385f66b46ed9e3b505ef022cb96
129 N215c14add612409c901d698b74114035
130 Nb3e91853c99d4eeea57262a1e8530580
131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016315379
132 https://doi.org/10.1007/s00261-015-0587-5
133 schema:sdDatePublished 2022-01-01T18:38
134 schema:sdLicense https://scigraph.springernature.com/explorer/license/
135 schema:sdPublisher Nbee6b170fa7e41f9bc59337e04563597
136 schema:url https://doi.org/10.1007/s00261-015-0587-5
137 sgo:license sg:explorer/license/
138 sgo:sdDataset articles
139 rdf:type schema:ScholarlyArticle
140 N0b0f0385f66b46ed9e3b505ef022cb96 schema:name pubmed_id
141 schema:value 27193790
142 rdf:type schema:PropertyValue
143 N0e9fdb2c8a584ab79cc1fd8d491914d4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Prostatectomy
145 rdf:type schema:DefinedTerm
146 N1ab9095a5f0b431396ab7f71abd186ec schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Image Processing, Computer-Assisted
148 rdf:type schema:DefinedTerm
149 N215c14add612409c901d698b74114035 schema:name doi
150 schema:value 10.1007/s00261-015-0587-5
151 rdf:type schema:PropertyValue
152 N25d1c8f55990435d903c564049f4dd26 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Signal-To-Noise Ratio
154 rdf:type schema:DefinedTerm
155 N294496e442ea4debbce156587e6bfb94 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Algorithms
157 rdf:type schema:DefinedTerm
158 N4980cddc6a3347a7b80af290d4db54d1 schema:issueNumber 5
159 rdf:type schema:PublicationIssue
160 N625b53de686b42798375510a91663dd8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Nerve Fibers, Myelinated
162 rdf:type schema:DefinedTerm
163 N7147f76e84eb407a8450bcd1d187d680 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name Diffusion Tensor Imaging
165 rdf:type schema:DefinedTerm
166 N740931be2cd34965973c076f624ac6cc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Feasibility Studies
168 rdf:type schema:DefinedTerm
169 N77a73027b32e4b05b6d60f2dd55478d9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Imaging, Three-Dimensional
171 rdf:type schema:DefinedTerm
172 N7e13fb6d386f42ab8d1c8db71fd991e9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name Anisotropy
174 rdf:type schema:DefinedTerm
175 N8e23c9caceaa44a8a1de38a22a17e779 rdf:first sg:person.01343475464.11
176 rdf:rest Ncd44b412c19643c896a77328d6d739eb
177 N9de5c75da9f042e7a8f0b896ed8a2358 rdf:first sg:person.0735211553.80
178 rdf:rest N8e23c9caceaa44a8a1de38a22a17e779
179 Na0c9931bbb3d4510b705a4a9cb2f6de0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
180 schema:name Echo-Planar Imaging
181 rdf:type schema:DefinedTerm
182 Na7cb8bf222c3400e9634ec17b8b198be schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
183 schema:name Prostate
184 rdf:type schema:DefinedTerm
185 Naca6ae3f2fe7443aab9d966ec53941f4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
186 schema:name Male
187 rdf:type schema:DefinedTerm
188 Nb3e91853c99d4eeea57262a1e8530580 schema:name dimensions_id
189 schema:value pub.1016315379
190 rdf:type schema:PropertyValue
191 Nb632fdb90dc84af498515a9b53e99d3d rdf:first sg:person.0743426670.40
192 rdf:rest N9de5c75da9f042e7a8f0b896ed8a2358
193 Nbee6b170fa7e41f9bc59337e04563597 schema:name Springer Nature - SN SciGraph project
194 rdf:type schema:Organization
195 Nc0befc8f1f8c4b4aadb4985dd06fca94 rdf:first sg:person.01142225316.38
196 rdf:rest Nc4cc227a00434a29865f1b18d52a8a65
197 Nc187116f3e0a4a36abd9bd6fc7cd0aa8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
198 schema:name Humans
199 rdf:type schema:DefinedTerm
200 Nc4cc227a00434a29865f1b18d52a8a65 rdf:first sg:person.01353320715.24
201 rdf:rest Nb632fdb90dc84af498515a9b53e99d3d
202 Ncb1f8817e0434f21bcfa0ec414523e97 schema:volumeNumber 41
203 rdf:type schema:PublicationVolume
204 Ncd44b412c19643c896a77328d6d739eb rdf:first sg:person.01177474310.75
205 rdf:rest rdf:nil
206 Ne13b8767df054b4db6bb67d064cc886d rdf:first sg:person.0602531554.42
207 rdf:rest Nc0befc8f1f8c4b4aadb4985dd06fca94
208 Nf7688736de784dcdaa0bc3ce4233ef90 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
209 schema:name Adult
210 rdf:type schema:DefinedTerm
211 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
212 schema:name Medical and Health Sciences
213 rdf:type schema:DefinedTerm
214 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
215 schema:name Clinical Sciences
216 rdf:type schema:DefinedTerm
217 sg:journal.1297457 schema:issn 2366-004X
218 2366-0058
219 schema:name Abdominal Radiology
220 schema:publisher Springer Nature
221 rdf:type schema:Periodical
222 sg:person.01142225316.38 schema:affiliation grid-institutes:grid.415886.6
223 schema:familyName Glielmi
224 schema:givenName Christopher
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01142225316.38
226 rdf:type schema:Person
227 sg:person.01177474310.75 schema:affiliation grid-institutes:grid.137628.9
228 schema:familyName Rosenkrantz
229 schema:givenName Andrew B.
230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01177474310.75
231 rdf:type schema:Person
232 sg:person.01343475464.11 schema:affiliation grid-institutes:grid.5406.7
233 schema:familyName Schneider
234 schema:givenName Rainer
235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343475464.11
236 rdf:type schema:Person
237 sg:person.01353320715.24 schema:affiliation grid-institutes:grid.137628.9
238 schema:familyName Lazar
239 schema:givenName Mariana
240 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353320715.24
241 rdf:type schema:Person
242 sg:person.0602531554.42 schema:affiliation grid-institutes:grid.137628.9
243 schema:familyName Ream
244 schema:givenName Justin M.
245 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602531554.42
246 rdf:type schema:Person
247 sg:person.0735211553.80 schema:affiliation grid-institutes:grid.5406.7
248 schema:familyName Pfeuffer
249 schema:givenName Josef
250 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735211553.80
251 rdf:type schema:Person
252 sg:person.0743426670.40 schema:affiliation grid-institutes:grid.51462.34
253 schema:familyName Campbell
254 schema:givenName Naomi
255 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743426670.40
256 rdf:type schema:Person
257 sg:pub.10.1007/s00261-014-0181-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034152646
258 https://doi.org/10.1007/s00261-014-0181-2
259 rdf:type schema:CreativeWork
260 sg:pub.10.1007/s00330-012-2710-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035400675
261 https://doi.org/10.1007/s00330-012-2710-0
262 rdf:type schema:CreativeWork
263 sg:pub.10.1007/s00330-014-3347-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1044918032
264 https://doi.org/10.1007/s00330-014-3347-y
265 rdf:type schema:CreativeWork
266 sg:pub.10.1007/s00345-010-0579-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005202882
267 https://doi.org/10.1007/s00345-010-0579-6
268 rdf:type schema:CreativeWork
269 grid-institutes:grid.137628.9 schema:alternateName Department of Radiology, New York University School of Medicine, NYU Langone Medical Center, 660 1st Avenue, 10016, New York, NY, USA
270 schema:name Department of Radiology, New York University School of Medicine, NYU Langone Medical Center, 660 1st Avenue, 10016, New York, NY, USA
271 rdf:type schema:Organization
272 grid-institutes:grid.415886.6 schema:alternateName Siemens Healthcare, New York, NY, USA
273 schema:name Siemens Healthcare, New York, NY, USA
274 rdf:type schema:Organization
275 grid-institutes:grid.51462.34 schema:alternateName Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
276 schema:name Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
277 Department of Radiology, New York University School of Medicine, NYU Langone Medical Center, 660 1st Avenue, 10016, New York, NY, USA
278 rdf:type schema:Organization
279 grid-institutes:grid.5406.7 schema:alternateName Imaging and Therapy Division, Siemens AG Healthcare Sector, Erlangen, Germany
280 schema:name Imaging and Therapy Division, Siemens AG Healthcare Sector, Erlangen, Germany
281 rdf:type schema:Organization
 




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


...