Validation of MRI/SPECT similarity-based registration methods using realistic simulations of normal and pathological SPECT data View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2002

AUTHORS

C. Grova , P. Jannin , A. Biraben , I. Buvat , H. Benali , A. M. Bernard , B. Gibaud , J. M. Scarabin

ABSTRACT

We propose a validation methodology to study the behaviour of SPECT/MRI similarity-based registration methods in normal and pathological conditions. Validation data sets were computed by simulating realistic SPECT data from 3D Tl-weighted MRI data, through Monte Carlo simulations, using a perfusion model built from measurements made on real SPECT data (normal or pathological). Validation of four similarity-based registration methods performed on these simulated data showed a registration mean accuracy significantly lower than simulated SPECT spatial resolution. More... »

PAGES

450-455

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-56168-9_75

DOI

http://dx.doi.org/10.1007/978-3-642-56168-9_75

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1004275550


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/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Laboratoire IDM, Facult\u00e9 de M\u00e9decine, Universit\u00e9 de Rennes, France", 
          "id": "http://www.grid.ac/institutes/grid.410368.8", 
          "name": [
            "Laboratoire IDM, Facult\u00e9 de M\u00e9decine, Universit\u00e9 de Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Grova", 
        "givenName": "C.", 
        "id": "sg:person.0731530437.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731530437.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire IDM, Facult\u00e9 de M\u00e9decine, Universit\u00e9 de Rennes, France", 
          "id": "http://www.grid.ac/institutes/grid.410368.8", 
          "name": [
            "Laboratoire IDM, Facult\u00e9 de M\u00e9decine, Universit\u00e9 de Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jannin", 
        "givenName": "P.", 
        "id": "sg:person.01224545512.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01224545512.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Service de Neurologie, H\u00f4pital Universitaire de Rennes, France", 
          "id": "http://www.grid.ac/institutes/grid.31151.37", 
          "name": [
            "Laboratoire IDM, Facult\u00e9 de M\u00e9decine, Universit\u00e9 de Rennes, France", 
            "Service de Neurologie, H\u00f4pital Universitaire de Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Biraben", 
        "givenName": "A.", 
        "id": "sg:person.0605051366.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0605051366.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Unit\u00e9 INSERM U494, H\u00f4pital Universitaire Piti\u00e9 Salp\u00e9tri\u00e8re, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.411439.a", 
          "name": [
            "Unit\u00e9 INSERM U494, H\u00f4pital Universitaire Piti\u00e9 Salp\u00e9tri\u00e8re, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Buvat", 
        "givenName": "I.", 
        "id": "sg:person.01167463556.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167463556.93"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Unit\u00e9 INSERM U494, H\u00f4pital Universitaire Piti\u00e9 Salp\u00e9tri\u00e8re, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.411439.a", 
          "name": [
            "Unit\u00e9 INSERM U494, H\u00f4pital Universitaire Piti\u00e9 Salp\u00e9tri\u00e8re, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Benali", 
        "givenName": "H.", 
        "id": "sg:person.0642765622.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642765622.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Service de M\u00e9decine Nucl\u00e9aire, Centre Eug\u00e8ne Marquis, Rennes, France", 
          "id": "http://www.grid.ac/institutes/grid.417988.b", 
          "name": [
            "Service de M\u00e9decine Nucl\u00e9aire, Centre Eug\u00e8ne Marquis, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bernard", 
        "givenName": "A. M.", 
        "id": "sg:person.0602263753.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602263753.68"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire IDM, Facult\u00e9 de M\u00e9decine, Universit\u00e9 de Rennes, France", 
          "id": "http://www.grid.ac/institutes/grid.410368.8", 
          "name": [
            "Laboratoire IDM, Facult\u00e9 de M\u00e9decine, Universit\u00e9 de Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gibaud", 
        "givenName": "B.", 
        "id": "sg:person.01220342523.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220342523.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Service de Neurochirurgie, H\u00f4pital Universitaire de Rennes, France", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Laboratoire IDM, Facult\u00e9 de M\u00e9decine, Universit\u00e9 de Rennes, France", 
            "Service de Neurochirurgie, H\u00f4pital Universitaire de Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Scarabin", 
        "givenName": "J. M.", 
        "id": "sg:person.066162504.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.066162504.13"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2002", 
    "datePublishedReg": "2002-01-01", 
    "description": "We propose a validation methodology to study the behaviour of SPECT/MRI similarity-based registration methods in normal and pathological conditions. Validation data sets were computed by simulating realistic SPECT data from 3D Tl-weighted MRI data, through Monte Carlo simulations, using a perfusion model built from measurements made on real SPECT data (normal or pathological). Validation of four similarity-based registration methods performed on these simulated data showed a registration mean accuracy significantly lower than simulated SPECT spatial resolution.", 
    "editor": [
      {
        "familyName": "Lemke", 
        "givenName": "Heinz U.", 
        "type": "Person"
      }, 
      {
        "familyName": "Inamura", 
        "givenName": "Kiyonari", 
        "type": "Person"
      }, 
      {
        "familyName": "Doi", 
        "givenName": "Kunio", 
        "type": "Person"
      }, 
      {
        "familyName": "Vannier", 
        "givenName": "Michael W.", 
        "type": "Person"
      }, 
      {
        "familyName": "Farman", 
        "givenName": "Allan G.", 
        "type": "Person"
      }, 
      {
        "familyName": "Reiber", 
        "givenName": "Johan H. C.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-56168-9_75", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-62844-3", 
        "978-3-642-56168-9"
      ], 
      "name": "CARS 2002 Computer Assisted Radiology and Surgery", 
      "type": "Book"
    }, 
    "keywords": [
      "registration method", 
      "validation methodology", 
      "mean accuracy", 
      "data sets", 
      "real SPECT data", 
      "SPECT data", 
      "validation data sets", 
      "realistic simulation", 
      "MRI data", 
      "spatial resolution", 
      "SPECT spatial resolution", 
      "simulations", 
      "Monte Carlo simulations", 
      "data", 
      "accuracy", 
      "validation", 
      "set", 
      "Carlo simulations", 
      "method", 
      "methodology", 
      "measurements", 
      "behavior", 
      "model", 
      "conditions", 
      "resolution", 
      "Tl", 
      "perfusion model", 
      "pathological conditions", 
      "SPECT/MRI similarity-based registration methods", 
      "MRI similarity-based registration methods", 
      "similarity-based registration methods", 
      "realistic SPECT data", 
      "registration mean accuracy", 
      "MRI/SPECT similarity-based registration methods", 
      "SPECT similarity-based registration methods", 
      "pathological SPECT data"
    ], 
    "name": "Validation of MRI/SPECT similarity-based registration methods using realistic simulations of normal and pathological SPECT data", 
    "pagination": "450-455", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1004275550"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-56168-9_75"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-56168-9_75", 
      "https://app.dimensions.ai/details/publication/pub.1004275550"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-01-01T19:24", 
    "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/chapter/chapter_422.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-642-56168-9_75"
  }
]
 

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.10.1007/978-3-642-56168-9_75'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-56168-9_75'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-56168-9_75'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-56168-9_75'


 

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

184 TRIPLES      23 PREDICATES      62 URIs      55 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-56168-9_75 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author N367824620d304586aac821f9b8f3652f
4 schema:datePublished 2002
5 schema:datePublishedReg 2002-01-01
6 schema:description We propose a validation methodology to study the behaviour of SPECT/MRI similarity-based registration methods in normal and pathological conditions. Validation data sets were computed by simulating realistic SPECT data from 3D Tl-weighted MRI data, through Monte Carlo simulations, using a perfusion model built from measurements made on real SPECT data (normal or pathological). Validation of four similarity-based registration methods performed on these simulated data showed a registration mean accuracy significantly lower than simulated SPECT spatial resolution.
7 schema:editor Nd8655304044f41f7a22738cbf299fd70
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf N431380c865f840a5aa75c97039884e98
12 schema:keywords Carlo simulations
13 MRI data
14 MRI similarity-based registration methods
15 MRI/SPECT similarity-based registration methods
16 Monte Carlo simulations
17 SPECT data
18 SPECT similarity-based registration methods
19 SPECT spatial resolution
20 SPECT/MRI similarity-based registration methods
21 Tl
22 accuracy
23 behavior
24 conditions
25 data
26 data sets
27 mean accuracy
28 measurements
29 method
30 methodology
31 model
32 pathological SPECT data
33 pathological conditions
34 perfusion model
35 real SPECT data
36 realistic SPECT data
37 realistic simulation
38 registration mean accuracy
39 registration method
40 resolution
41 set
42 similarity-based registration methods
43 simulations
44 spatial resolution
45 validation
46 validation data sets
47 validation methodology
48 schema:name Validation of MRI/SPECT similarity-based registration methods using realistic simulations of normal and pathological SPECT data
49 schema:pagination 450-455
50 schema:productId N052ccb9cdb2047e183f0f849ad2785a1
51 Nd7a1d035d238486192ae753ac6940ac5
52 schema:publisher N410a0c0b522d445195530ed1cfdb56bc
53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004275550
54 https://doi.org/10.1007/978-3-642-56168-9_75
55 schema:sdDatePublished 2022-01-01T19:24
56 schema:sdLicense https://scigraph.springernature.com/explorer/license/
57 schema:sdPublisher N3d33fef64b8e4901a2d825ae8741c1ad
58 schema:url https://doi.org/10.1007/978-3-642-56168-9_75
59 sgo:license sg:explorer/license/
60 sgo:sdDataset chapters
61 rdf:type schema:Chapter
62 N052ccb9cdb2047e183f0f849ad2785a1 schema:name dimensions_id
63 schema:value pub.1004275550
64 rdf:type schema:PropertyValue
65 N1fb2f9d34d9d4a7c8bf7969ebfa84646 rdf:first sg:person.0642765622.36
66 rdf:rest N41cb056560664990a29b75a1d5253e4a
67 N367824620d304586aac821f9b8f3652f rdf:first sg:person.0731530437.52
68 rdf:rest N3e108a88696d4aee813dd8257e6ff5ad
69 N37cde975abc243338fb9815bbfde08c2 rdf:first N4b201c7e982a41dcbe3c2a7fe466db3f
70 rdf:rest N88bae43254b04b3580bbffc6463d4fd8
71 N3d33fef64b8e4901a2d825ae8741c1ad schema:name Springer Nature - SN SciGraph project
72 rdf:type schema:Organization
73 N3e0ff6b06c5a4348a424fa376b6fcc0a rdf:first sg:person.0605051366.45
74 rdf:rest N8ee97363f7074f36b56bc67c4a2cd6c8
75 N3e108a88696d4aee813dd8257e6ff5ad rdf:first sg:person.01224545512.95
76 rdf:rest N3e0ff6b06c5a4348a424fa376b6fcc0a
77 N405b1f033adc4769bb9d27237aa83ce3 rdf:first sg:person.066162504.13
78 rdf:rest rdf:nil
79 N410a0c0b522d445195530ed1cfdb56bc schema:name Springer Nature
80 rdf:type schema:Organisation
81 N41cb056560664990a29b75a1d5253e4a rdf:first sg:person.0602263753.68
82 rdf:rest Nb028beec7d544e83bdc3c8b7152a9d4a
83 N431380c865f840a5aa75c97039884e98 schema:isbn 978-3-642-56168-9
84 978-3-642-62844-3
85 schema:name CARS 2002 Computer Assisted Radiology and Surgery
86 rdf:type schema:Book
87 N4b201c7e982a41dcbe3c2a7fe466db3f schema:familyName Farman
88 schema:givenName Allan G.
89 rdf:type schema:Person
90 N688daa28106944b3bd9cad2fce3e919e schema:familyName Lemke
91 schema:givenName Heinz U.
92 rdf:type schema:Person
93 N73663d9e9a13447381b6d4f8b30dd777 rdf:first Ne5e7d5e4eb484729a25ac5f76eb9655a
94 rdf:rest N9af1070d07994fb3a09bd4a2bb6565f4
95 N88bae43254b04b3580bbffc6463d4fd8 rdf:first Nb41abb2896af4b1b87a30ff3c71eb910
96 rdf:rest rdf:nil
97 N8ee97363f7074f36b56bc67c4a2cd6c8 rdf:first sg:person.01167463556.93
98 rdf:rest N1fb2f9d34d9d4a7c8bf7969ebfa84646
99 N8fc47408a9e24bb68f06cdf5c4f7ed0d rdf:first Nf15e97bc35ad433093b4cc12399928a1
100 rdf:rest N73663d9e9a13447381b6d4f8b30dd777
101 N9af1070d07994fb3a09bd4a2bb6565f4 rdf:first Nbbde3c7b221c47319314b09fb6d8be1d
102 rdf:rest N37cde975abc243338fb9815bbfde08c2
103 Nb028beec7d544e83bdc3c8b7152a9d4a rdf:first sg:person.01220342523.29
104 rdf:rest N405b1f033adc4769bb9d27237aa83ce3
105 Nb41abb2896af4b1b87a30ff3c71eb910 schema:familyName Reiber
106 schema:givenName Johan H. C.
107 rdf:type schema:Person
108 Nbbde3c7b221c47319314b09fb6d8be1d schema:familyName Vannier
109 schema:givenName Michael W.
110 rdf:type schema:Person
111 Nd7a1d035d238486192ae753ac6940ac5 schema:name doi
112 schema:value 10.1007/978-3-642-56168-9_75
113 rdf:type schema:PropertyValue
114 Nd8655304044f41f7a22738cbf299fd70 rdf:first N688daa28106944b3bd9cad2fce3e919e
115 rdf:rest N8fc47408a9e24bb68f06cdf5c4f7ed0d
116 Ne5e7d5e4eb484729a25ac5f76eb9655a schema:familyName Doi
117 schema:givenName Kunio
118 rdf:type schema:Person
119 Nf15e97bc35ad433093b4cc12399928a1 schema:familyName Inamura
120 schema:givenName Kiyonari
121 rdf:type schema:Person
122 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
123 schema:name Information and Computing Sciences
124 rdf:type schema:DefinedTerm
125 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
126 schema:name Artificial Intelligence and Image Processing
127 rdf:type schema:DefinedTerm
128 sg:person.01167463556.93 schema:affiliation grid-institutes:grid.411439.a
129 schema:familyName Buvat
130 schema:givenName I.
131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167463556.93
132 rdf:type schema:Person
133 sg:person.01220342523.29 schema:affiliation grid-institutes:grid.410368.8
134 schema:familyName Gibaud
135 schema:givenName B.
136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220342523.29
137 rdf:type schema:Person
138 sg:person.01224545512.95 schema:affiliation grid-institutes:grid.410368.8
139 schema:familyName Jannin
140 schema:givenName P.
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01224545512.95
142 rdf:type schema:Person
143 sg:person.0602263753.68 schema:affiliation grid-institutes:grid.417988.b
144 schema:familyName Bernard
145 schema:givenName A. M.
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602263753.68
147 rdf:type schema:Person
148 sg:person.0605051366.45 schema:affiliation grid-institutes:grid.31151.37
149 schema:familyName Biraben
150 schema:givenName A.
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0605051366.45
152 rdf:type schema:Person
153 sg:person.0642765622.36 schema:affiliation grid-institutes:grid.411439.a
154 schema:familyName Benali
155 schema:givenName H.
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642765622.36
157 rdf:type schema:Person
158 sg:person.066162504.13 schema:affiliation grid-institutes:None
159 schema:familyName Scarabin
160 schema:givenName J. M.
161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.066162504.13
162 rdf:type schema:Person
163 sg:person.0731530437.52 schema:affiliation grid-institutes:grid.410368.8
164 schema:familyName Grova
165 schema:givenName C.
166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731530437.52
167 rdf:type schema:Person
168 grid-institutes:None schema:alternateName Service de Neurochirurgie, Hôpital Universitaire de Rennes, France
169 schema:name Laboratoire IDM, Faculté de Médecine, Université de Rennes, France
170 Service de Neurochirurgie, Hôpital Universitaire de Rennes, France
171 rdf:type schema:Organization
172 grid-institutes:grid.31151.37 schema:alternateName Service de Neurologie, Hôpital Universitaire de Rennes, France
173 schema:name Laboratoire IDM, Faculté de Médecine, Université de Rennes, France
174 Service de Neurologie, Hôpital Universitaire de Rennes, France
175 rdf:type schema:Organization
176 grid-institutes:grid.410368.8 schema:alternateName Laboratoire IDM, Faculté de Médecine, Université de Rennes, France
177 schema:name Laboratoire IDM, Faculté de Médecine, Université de Rennes, France
178 rdf:type schema:Organization
179 grid-institutes:grid.411439.a schema:alternateName Unité INSERM U494, Hôpital Universitaire Pitié Salpétrière, Paris, France
180 schema:name Unité INSERM U494, Hôpital Universitaire Pitié Salpétrière, Paris, France
181 rdf:type schema:Organization
182 grid-institutes:grid.417988.b schema:alternateName Service de Médecine Nucléaire, Centre Eugène Marquis, Rennes, France
183 schema:name Service de Médecine Nucléaire, Centre Eugène Marquis, Rennes, France
184 rdf:type schema:Organization
 




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


...