An Augmented Reality Framework for Soft Tissue Surgery View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014

AUTHORS

Peter Mountney , Johannes Fallert , Stephane Nicolau , Luc Soler , Philip W. Mewes

ABSTRACT

Augmented reality for soft tissue laparoscopic surgery is a growing topic of interest in the medical community and has potential application in intra-operative planning and image guidance. Delivery of such systems to the operating room remains complex with theoretical challenges related to tissue deformation and the practical limitations of imaging equipment. Current research in this area generally only solves part of the registration pipeline or relies on fiducials, manual model alignment or assumes that tissue is static. This paper proposes a novel augmented reality framework for intra-operative planning: the approach co-registers pre-operative CT with stereo laparoscopic images using cone beam CT and fluoroscopy as bridging modalities. It does not require fiducials or manual alignment and compensates for tissue deformation from insufflation and respiration while allowing the laparoscope to be navigated. The paper's theoretical and practical contributions are validated using simulated, phantom, ex vivo, in vivo and non medical data. More... »

PAGES

423-31

References to SciGraph publications

  • 2010. Motion Compensated SLAM for Image Guided Surgery in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION – MICCAI 2010
  • 2012. Towards Live Monocular 3D Laparoscopy Using Shading and Specularity Information in INFORMATION PROCESSING IN COMPUTER-ASSISTED INTERVENTIONS
  • 2013. Biomechanically Driven Registration of Pre- to Intra-Operative 3D Images for Laparoscopic Surgery in ADVANCED INFORMATION SYSTEMS ENGINEERING
  • 2010. Real-Time Stereo Reconstruction in Robotically Assisted Minimally Invasive Surgery in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION – MICCAI 2010
  • 2012-03. An effective visualisation and registration system for image-guided robotic partial nephrectomy in JOURNAL OF ROBOTIC SURGERY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-10404-1_53

    DOI

    http://dx.doi.org/10.1007/978-3-319-10404-1_53

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1037137432

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/25333146


    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/2008/0903", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biomedical Engineering", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Engineering", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Algorithms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Computer Graphics", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Computer Simulation", 
            "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 Interpretation, 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": "Laparoscopy", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Models, Biological", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Preoperative Care", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Robotics", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Surgery, Computer-Assisted", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Tomography, X-Ray Computed", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "User-Computer Interface", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "name": [
                "Imaging and Computer Vision, Siemens Corporate Technology, Princeton, NJ, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mountney", 
            "givenName": "Peter", 
            "id": "sg:person.0702376130.54", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0702376130.54"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Karl Storz (Germany)", 
              "id": "https://www.grid.ac/institutes/grid.425567.7", 
              "name": [
                "Imaging Technologies Research, Karl Storz, Tuttlingen, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Fallert", 
            "givenName": "Johannes", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Research Institute against Digestive Cancer", 
              "id": "https://www.grid.ac/institutes/grid.420397.b", 
              "name": [
                "Institut de Recherche contre les Cancers de l\u2019Appareil Digestif (IRCAD), Strasbourg, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nicolau", 
            "givenName": "Stephane", 
            "id": "sg:person.01266131170.08", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266131170.08"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Research Institute against Digestive Cancer", 
              "id": "https://www.grid.ac/institutes/grid.420397.b", 
              "name": [
                "Institut de Recherche contre les Cancers de l\u2019Appareil Digestif (IRCAD), Strasbourg, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Soler", 
            "givenName": "Luc", 
            "id": "sg:person.0773202070.58", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0773202070.58"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Siemens (Germany)", 
              "id": "https://www.grid.ac/institutes/grid.5406.7", 
              "name": [
                "Angiography & Interventional X-Ray Systems, Siemens Healthcare, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mewes", 
            "givenName": "Philip W.", 
            "id": "sg:person.013200653273.40", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013200653273.40"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/978-3-642-30618-1_2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010935127", 
              "https://doi.org/10.1007/978-3-642-30618-1_2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-15705-9_34", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011146145", 
              "https://doi.org/10.1007/978-3-642-15705-9_34"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-15705-9_34", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011146145", 
              "https://doi.org/10.1007/978-3-642-15705-9_34"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.urology.2008.11.040", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016366600"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11701-011-0334-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017927501", 
              "https://doi.org/10.1007/s11701-011-0334-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-15745-5_61", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025252229", 
              "https://doi.org/10.1007/978-3-642-15745-5_61"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-15745-5_61", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025252229", 
              "https://doi.org/10.1007/978-3-642-15745-5_61"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.media.2009.02.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030991224"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.eururo.2009.05.017", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037062510"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-40763-5_1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042191121", 
              "https://doi.org/10.1007/978-3-642-40763-5_1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.urology.2013.08.049", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045133135"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.urology.2013.08.049", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045133135"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tmi.2013.2243464", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061696059"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tpami.2011.248", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061744131"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2014", 
        "datePublishedReg": "2014-01-01", 
        "description": "Augmented reality for soft tissue laparoscopic surgery is a growing topic of interest in the medical community and has potential application in intra-operative planning and image guidance. Delivery of such systems to the operating room remains complex with theoretical challenges related to tissue deformation and the practical limitations of imaging equipment. Current research in this area generally only solves part of the registration pipeline or relies on fiducials, manual model alignment or assumes that tissue is static. This paper proposes a novel augmented reality framework for intra-operative planning: the approach co-registers pre-operative CT with stereo laparoscopic images using cone beam CT and fluoroscopy as bridging modalities. It does not require fiducials or manual alignment and compensates for tissue deformation from insufflation and respiration while allowing the laparoscope to be navigated. The paper's theoretical and practical contributions are validated using simulated, phantom, ex vivo, in vivo and non medical data.", 
        "editor": [
          {
            "familyName": "Golland", 
            "givenName": "Polina", 
            "type": "Person"
          }, 
          {
            "familyName": "Hata", 
            "givenName": "Nobuhiko", 
            "type": "Person"
          }, 
          {
            "familyName": "Barillot", 
            "givenName": "Christian", 
            "type": "Person"
          }, 
          {
            "familyName": "Hornegger", 
            "givenName": "Joachim", 
            "type": "Person"
          }, 
          {
            "familyName": "Howe", 
            "givenName": "Robert", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-3-319-10404-1_53", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": {
          "isbn": [
            "978-3-319-10403-4", 
            "978-3-319-10404-1"
          ], 
          "name": "Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2014", 
          "type": "Book"
        }, 
        "name": "An Augmented Reality Framework for Soft Tissue Surgery", 
        "pagination": "423-31", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-3-319-10404-1_53"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "b0e91cb5c46c7e0b72a30f1090aa53e7aaf28961835e9667cba4e0db991dc340"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1037137432"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "25333146"
            ]
          }
        ], 
        "publisher": {
          "location": "Cham", 
          "name": "Springer International Publishing", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-3-319-10404-1_53", 
          "https://app.dimensions.ai/details/publication/pub.1037137432"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-15T15:22", 
        "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_8672_00000266.jsonl", 
        "type": "Chapter", 
        "url": "http://link.springer.com/10.1007/978-3-319-10404-1_53"
      }
    ]
     

    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.10.1007/978-3-319-10404-1_53'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-10404-1_53'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-10404-1_53'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-10404-1_53'


     

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

    218 TRIPLES      23 PREDICATES      53 URIs      35 LITERALS      23 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-3-319-10404-1_53 schema:about N1cafcab120a44f5a8335e9102a085e9d
    2 N2203848bfd32464ab09e5d50d3fda0b9
    3 N38b24e219a4b4363a1c92ebed16fb6d5
    4 N3ab2f33b30d7416db6bfa047926c9475
    5 N5847ceabd1ca4dcea7cc7fde8e73cbe1
    6 N6d27c33d3fde438ab0bdcdc74d9953b1
    7 N93f4a48836f84018b2f437dabde3cab3
    8 N99cb6f6e627140b594b4f9581af7d6ec
    9 Na8aa5a68e97c4e69a23c82af281e8fab
    10 Nc5fffc8d8add4e84b255bedeaa5ae293
    11 Nd460d624630440009d11353f56e93861
    12 Ne4749da1a6714679bbb9ef47540606c2
    13 Nfbaa45a2ea754b62accc86593a86cc61
    14 Nfbe4408cee2c47229d14db61368d51d7
    15 anzsrc-for:09
    16 anzsrc-for:0903
    17 schema:author N60f5474289c64f3683b0d8a6c894102d
    18 schema:citation sg:pub.10.1007/978-3-642-15705-9_34
    19 sg:pub.10.1007/978-3-642-15745-5_61
    20 sg:pub.10.1007/978-3-642-30618-1_2
    21 sg:pub.10.1007/978-3-642-40763-5_1
    22 sg:pub.10.1007/s11701-011-0334-z
    23 https://doi.org/10.1016/j.eururo.2009.05.017
    24 https://doi.org/10.1016/j.media.2009.02.003
    25 https://doi.org/10.1016/j.urology.2008.11.040
    26 https://doi.org/10.1016/j.urology.2013.08.049
    27 https://doi.org/10.1109/tmi.2013.2243464
    28 https://doi.org/10.1109/tpami.2011.248
    29 schema:datePublished 2014
    30 schema:datePublishedReg 2014-01-01
    31 schema:description Augmented reality for soft tissue laparoscopic surgery is a growing topic of interest in the medical community and has potential application in intra-operative planning and image guidance. Delivery of such systems to the operating room remains complex with theoretical challenges related to tissue deformation and the practical limitations of imaging equipment. Current research in this area generally only solves part of the registration pipeline or relies on fiducials, manual model alignment or assumes that tissue is static. This paper proposes a novel augmented reality framework for intra-operative planning: the approach co-registers pre-operative CT with stereo laparoscopic images using cone beam CT and fluoroscopy as bridging modalities. It does not require fiducials or manual alignment and compensates for tissue deformation from insufflation and respiration while allowing the laparoscope to be navigated. The paper's theoretical and practical contributions are validated using simulated, phantom, ex vivo, in vivo and non medical data.
    32 schema:editor Nf9b8c9a781d948d4bdd7fa38044eb737
    33 schema:genre chapter
    34 schema:inLanguage en
    35 schema:isAccessibleForFree false
    36 schema:isPartOf Nbef713b5cc8e4ddfba1517fb468262da
    37 schema:name An Augmented Reality Framework for Soft Tissue Surgery
    38 schema:pagination 423-31
    39 schema:productId N00be818526a34fdd81c6486a6671c92a
    40 N8ead461363714e89b2cd0aea3eab8a97
    41 N97d8143496aa4d89b531b0f806758e2f
    42 Nd33304cfb9c743da98dac483114d86cf
    43 schema:publisher N0ec6de034a8c422da2671cc774873e54
    44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037137432
    45 https://doi.org/10.1007/978-3-319-10404-1_53
    46 schema:sdDatePublished 2019-04-15T15:22
    47 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    48 schema:sdPublisher N7f6ac2f432aa49cebf3cf0fd7d65c42d
    49 schema:url http://link.springer.com/10.1007/978-3-319-10404-1_53
    50 sgo:license sg:explorer/license/
    51 sgo:sdDataset chapters
    52 rdf:type schema:Chapter
    53 N00be818526a34fdd81c6486a6671c92a schema:name doi
    54 schema:value 10.1007/978-3-319-10404-1_53
    55 rdf:type schema:PropertyValue
    56 N0ac35d71339f488ca6e25bec3d1e7e13 schema:familyName Hornegger
    57 schema:givenName Joachim
    58 rdf:type schema:Person
    59 N0ec6de034a8c422da2671cc774873e54 schema:location Cham
    60 schema:name Springer International Publishing
    61 rdf:type schema:Organisation
    62 N1cafcab120a44f5a8335e9102a085e9d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    63 schema:name Computer Simulation
    64 rdf:type schema:DefinedTerm
    65 N2203848bfd32464ab09e5d50d3fda0b9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    66 schema:name Image Enhancement
    67 rdf:type schema:DefinedTerm
    68 N247c8b4a4d37443398fea8f8c6242610 schema:familyName Hata
    69 schema:givenName Nobuhiko
    70 rdf:type schema:Person
    71 N26cb3c3065e949608c5e541fd2eda868 rdf:first N247c8b4a4d37443398fea8f8c6242610
    72 rdf:rest Na59cde8b62c54165b5638936f0691701
    73 N38b24e219a4b4363a1c92ebed16fb6d5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    74 schema:name Models, Biological
    75 rdf:type schema:DefinedTerm
    76 N3ab2f33b30d7416db6bfa047926c9475 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    77 schema:name Tomography, X-Ray Computed
    78 rdf:type schema:DefinedTerm
    79 N3f8153b287f04f35a57d3a84a96ed8fe schema:familyName Howe
    80 schema:givenName Robert
    81 rdf:type schema:Person
    82 N4b32948706634c6a8eac3aeb4691d05a rdf:first sg:person.0773202070.58
    83 rdf:rest Nce8060b7c4a4416fbea35dbd7455a7b6
    84 N50cdbb54eb0745cdb0ac8dab25fdc376 rdf:first sg:person.01266131170.08
    85 rdf:rest N4b32948706634c6a8eac3aeb4691d05a
    86 N51f7ccb1b98c4db5ae378cfdb0ba2073 rdf:first N3f8153b287f04f35a57d3a84a96ed8fe
    87 rdf:rest rdf:nil
    88 N5847ceabd1ca4dcea7cc7fde8e73cbe1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    89 schema:name Surgery, Computer-Assisted
    90 rdf:type schema:DefinedTerm
    91 N60f5474289c64f3683b0d8a6c894102d rdf:first sg:person.0702376130.54
    92 rdf:rest Nb6a3a25f0f164860bedd243b53be8d0d
    93 N6d27c33d3fde438ab0bdcdc74d9953b1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    94 schema:name Laparoscopy
    95 rdf:type schema:DefinedTerm
    96 N795356edc3524f6bba69d9eb59a523a7 schema:affiliation https://www.grid.ac/institutes/grid.425567.7
    97 schema:familyName Fallert
    98 schema:givenName Johannes
    99 rdf:type schema:Person
    100 N7f6ac2f432aa49cebf3cf0fd7d65c42d schema:name Springer Nature - SN SciGraph project
    101 rdf:type schema:Organization
    102 N8ead461363714e89b2cd0aea3eab8a97 schema:name readcube_id
    103 schema:value b0e91cb5c46c7e0b72a30f1090aa53e7aaf28961835e9667cba4e0db991dc340
    104 rdf:type schema:PropertyValue
    105 N93f4a48836f84018b2f437dabde3cab3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    106 schema:name Image Interpretation, Computer-Assisted
    107 rdf:type schema:DefinedTerm
    108 N97d8143496aa4d89b531b0f806758e2f schema:name dimensions_id
    109 schema:value pub.1037137432
    110 rdf:type schema:PropertyValue
    111 N99cb6f6e627140b594b4f9581af7d6ec schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    112 schema:name User-Computer Interface
    113 rdf:type schema:DefinedTerm
    114 Na59cde8b62c54165b5638936f0691701 rdf:first Nbd976926b6014cafac41c01249847b69
    115 rdf:rest Nf73b9d3b963244b3b0b27972cc93d230
    116 Na8aa5a68e97c4e69a23c82af281e8fab schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    117 schema:name Algorithms
    118 rdf:type schema:DefinedTerm
    119 Nb6a3a25f0f164860bedd243b53be8d0d rdf:first N795356edc3524f6bba69d9eb59a523a7
    120 rdf:rest N50cdbb54eb0745cdb0ac8dab25fdc376
    121 Nbd976926b6014cafac41c01249847b69 schema:familyName Barillot
    122 schema:givenName Christian
    123 rdf:type schema:Person
    124 Nbef713b5cc8e4ddfba1517fb468262da schema:isbn 978-3-319-10403-4
    125 978-3-319-10404-1
    126 schema:name Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
    127 rdf:type schema:Book
    128 Nc1c4cc8733a44f349bb0f96b78029f8c schema:familyName Golland
    129 schema:givenName Polina
    130 rdf:type schema:Person
    131 Nc5fffc8d8add4e84b255bedeaa5ae293 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    132 schema:name Robotics
    133 rdf:type schema:DefinedTerm
    134 Nce8060b7c4a4416fbea35dbd7455a7b6 rdf:first sg:person.013200653273.40
    135 rdf:rest rdf:nil
    136 Nd33304cfb9c743da98dac483114d86cf schema:name pubmed_id
    137 schema:value 25333146
    138 rdf:type schema:PropertyValue
    139 Nd460d624630440009d11353f56e93861 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    140 schema:name Imaging, Three-Dimensional
    141 rdf:type schema:DefinedTerm
    142 Ne4749da1a6714679bbb9ef47540606c2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    143 schema:name Computer Graphics
    144 rdf:type schema:DefinedTerm
    145 Ne91f795606b34577a864fb418782e4ad schema:name Imaging and Computer Vision, Siemens Corporate Technology, Princeton, NJ, USA
    146 rdf:type schema:Organization
    147 Nf73b9d3b963244b3b0b27972cc93d230 rdf:first N0ac35d71339f488ca6e25bec3d1e7e13
    148 rdf:rest N51f7ccb1b98c4db5ae378cfdb0ba2073
    149 Nf9b8c9a781d948d4bdd7fa38044eb737 rdf:first Nc1c4cc8733a44f349bb0f96b78029f8c
    150 rdf:rest N26cb3c3065e949608c5e541fd2eda868
    151 Nfbaa45a2ea754b62accc86593a86cc61 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    152 schema:name Preoperative Care
    153 rdf:type schema:DefinedTerm
    154 Nfbe4408cee2c47229d14db61368d51d7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    155 schema:name Humans
    156 rdf:type schema:DefinedTerm
    157 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    158 schema:name Engineering
    159 rdf:type schema:DefinedTerm
    160 anzsrc-for:0903 schema:inDefinedTermSet anzsrc-for:
    161 schema:name Biomedical Engineering
    162 rdf:type schema:DefinedTerm
    163 sg:person.01266131170.08 schema:affiliation https://www.grid.ac/institutes/grid.420397.b
    164 schema:familyName Nicolau
    165 schema:givenName Stephane
    166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266131170.08
    167 rdf:type schema:Person
    168 sg:person.013200653273.40 schema:affiliation https://www.grid.ac/institutes/grid.5406.7
    169 schema:familyName Mewes
    170 schema:givenName Philip W.
    171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013200653273.40
    172 rdf:type schema:Person
    173 sg:person.0702376130.54 schema:affiliation Ne91f795606b34577a864fb418782e4ad
    174 schema:familyName Mountney
    175 schema:givenName Peter
    176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0702376130.54
    177 rdf:type schema:Person
    178 sg:person.0773202070.58 schema:affiliation https://www.grid.ac/institutes/grid.420397.b
    179 schema:familyName Soler
    180 schema:givenName Luc
    181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0773202070.58
    182 rdf:type schema:Person
    183 sg:pub.10.1007/978-3-642-15705-9_34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011146145
    184 https://doi.org/10.1007/978-3-642-15705-9_34
    185 rdf:type schema:CreativeWork
    186 sg:pub.10.1007/978-3-642-15745-5_61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025252229
    187 https://doi.org/10.1007/978-3-642-15745-5_61
    188 rdf:type schema:CreativeWork
    189 sg:pub.10.1007/978-3-642-30618-1_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010935127
    190 https://doi.org/10.1007/978-3-642-30618-1_2
    191 rdf:type schema:CreativeWork
    192 sg:pub.10.1007/978-3-642-40763-5_1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042191121
    193 https://doi.org/10.1007/978-3-642-40763-5_1
    194 rdf:type schema:CreativeWork
    195 sg:pub.10.1007/s11701-011-0334-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1017927501
    196 https://doi.org/10.1007/s11701-011-0334-z
    197 rdf:type schema:CreativeWork
    198 https://doi.org/10.1016/j.eururo.2009.05.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037062510
    199 rdf:type schema:CreativeWork
    200 https://doi.org/10.1016/j.media.2009.02.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030991224
    201 rdf:type schema:CreativeWork
    202 https://doi.org/10.1016/j.urology.2008.11.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016366600
    203 rdf:type schema:CreativeWork
    204 https://doi.org/10.1016/j.urology.2013.08.049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045133135
    205 rdf:type schema:CreativeWork
    206 https://doi.org/10.1109/tmi.2013.2243464 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061696059
    207 rdf:type schema:CreativeWork
    208 https://doi.org/10.1109/tpami.2011.248 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061744131
    209 rdf:type schema:CreativeWork
    210 https://www.grid.ac/institutes/grid.420397.b schema:alternateName Research Institute against Digestive Cancer
    211 schema:name Institut de Recherche contre les Cancers de l’Appareil Digestif (IRCAD), Strasbourg, France
    212 rdf:type schema:Organization
    213 https://www.grid.ac/institutes/grid.425567.7 schema:alternateName Karl Storz (Germany)
    214 schema:name Imaging Technologies Research, Karl Storz, Tuttlingen, Germany
    215 rdf:type schema:Organization
    216 https://www.grid.ac/institutes/grid.5406.7 schema:alternateName Siemens (Germany)
    217 schema:name Angiography & Interventional X-Ray Systems, Siemens Healthcare, Germany
    218 rdf:type schema:Organization
     




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


    ...