Segmentation of Short Association Bundles in Massive Tractography Datasets Using a Multi-subject Bundle Atlas

This paper presents a method for automatic segmentation of some short association fiber bundles from massive dMRI tractography datasets. The method is based on a multi-subject bundle atlas derived from a two-level intra-subject and inter-subject clustering strategy. Each atlas bundle corresponds to...

Full description

Saved in:
Bibliographic Details
Published inProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications pp. 701 - 708
Main Authors Guevara, Pamela, Duclap, Delphine, Poupon, Cyril, Marrakchi-Kacem, Linda, Houenou, Josselin, Leboyer, Marion, Mangin, Jean-François
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2011
SeriesLecture Notes in Computer Science
Subjects
Dirichlet Process Mixture Model
Orientation Distribution Function
Right Hemisphere
Talairach Space
White Matter Bundle
Online AccessGet full text

Cover

Abstract This paper presents a method for automatic segmentation of some short association fiber bundles from massive dMRI tractography datasets. The method is based on a multi-subject bundle atlas derived from a two-level intra-subject and inter-subject clustering strategy. Each atlas bundle corresponds to one or more inter-subject clusters, presenting similar shapes. An atlas bundle is represented by the multi-subject list of the centroids of all intra-subject clusters in order to get a good sampling of the shape and localization variability. An atlas of 47 bundles is inferred from a first database of 12 brains, and used to segment the same bundles in a second database of 10 brains.
AbstractList This paper presents a method for automatic segmentation of some short association fiber bundles from massive dMRI tractography datasets. The method is based on a multi-subject bundle atlas derived from a two-level intra-subject and inter-subject clustering strategy. Each atlas bundle corresponds to one or more inter-subject clusters, presenting similar shapes. An atlas bundle is represented by the multi-subject list of the centroids of all intra-subject clusters in order to get a good sampling of the shape and localization variability. An atlas of 47 bundles is inferred from a first database of 12 brains, and used to segment the same bundles in a second database of 10 brains.
Author Poupon, Cyril
Houenou, Josselin
Duclap, Delphine
Marrakchi-Kacem, Linda
Leboyer, Marion
Mangin, Jean-François
Guevara, Pamela
Author_xml – sequence: 1
  givenname: Pamela
  surname: Guevara
  fullname: Guevara, Pamela
  organization: University of Concepción, Concepción, Chile
– sequence: 2
  givenname: Delphine
  surname: Duclap
  fullname: Duclap, Delphine
  organization: Institut Fédératif de Recherche, France
– sequence: 3
  givenname: Cyril
  surname: Poupon
  fullname: Poupon, Cyril
  organization: Institut Fédératif de Recherche, France
– sequence: 4
  givenname: Linda
  surname: Marrakchi-Kacem
  fullname: Marrakchi-Kacem, Linda
  organization: Institut Fédératif de Recherche, France
– sequence: 5
  givenname: Josselin
  surname: Houenou
  fullname: Houenou, Josselin
  organization: Department of Psychiatry, INSERM, U955 Unit, AP-HP, University Paris-East, France
– sequence: 6
  givenname: Marion
  surname: Leboyer
  fullname: Leboyer, Marion
  organization: Department of Psychiatry, INSERM, U955 Unit, AP-HP, University Paris-East, France
– sequence: 7
  givenname: Jean-François
  surname: Mangin
  fullname: Mangin, Jean-François
  organization: Institut Fédératif de Recherche, France
BookMark eNo1kNtOAjEQQKtiIiB_4EN_oNp29tI-4t0E4gOQ-NbMLl1YXLZkW0z8e8vFeZnkzCUzZ0B6rWstIXeC3wvO8wedKwYsSySTKVcp00bBBRlFDBEemb4kfZEJwQASfUUG_4Xkq0f6HLhkOk_ghoy83_AYmeBZkvTJdmZXW9sGDLVrqavobO26QMfeu7I-wcd9u2ysp3VLp-h9_WPpvMMyuFWHu_UvfcaA3gZPF75uVxTpdN-Emvl9sbFlOI_TcWjQ35LrChtvR-c8JIvXl_nTO5t8vn08jSfMCwHAlqmFolKFznkG8QkuIVe6lBYzjqiKVBSAiFpVmYoNpcpRS5VGV7JSAkoYEnna63ddvMl2pnDu2xvBzUGoieYMmKjIHOWZg1D4A2s8Zmk
ContentType Book Chapter
Copyright Springer-Verlag Berlin Heidelberg 2011
Copyright_xml – notice: Springer-Verlag Berlin Heidelberg 2011
DOI 10.1007/978-3-642-25085-9_83
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
Computer Science
EISBN 9783642250859
3642250858
EISSN 1611-3349
Editor San Martin, César
Kim, Sang-Woon
Editor_xml – sequence: 1
  givenname: César
  surname: San Martin
  fullname: San Martin, César
  email: cesarsanmartin@ufro.cl
– sequence: 2
  givenname: Sang-Woon
  surname: Kim
  fullname: Kim, Sang-Woon
  email: kimsw@mju.ac.kr
EndPage 708
GroupedDBID -DT
-GH
-~X
1SB
29L
2HA
2HV
5QI
875
AASHB
ABMNI
ACGFS
ADCXD
AEFIE
ALMA_UNASSIGNED_HOLDINGS
EJD
F5P
FEDTE
HVGLF
LAS
LDH
P2P
RIG
RNI
RSU
SVGTG
VI1
~02
ID FETCH-LOGICAL-s1133-d5e3bf8b97063508023789c2ea60aa8b51b3aaa98f68635c87a92851002f813c3
ISBN 364225084X
9783642250842
ISSN 0302-9743
IngestDate Tue Jul 29 19:51:25 EDT 2025
IsPeerReviewed false
IsScholarly false
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-s1133-d5e3bf8b97063508023789c2ea60aa8b51b3aaa98f68635c87a92851002f813c3
PageCount 8
ParticipantIDs springer_books_10_1007_978_3_642_25085_9_83
PublicationCentury 2000
PublicationDate 2011
PublicationDateYYYYMMDD 2011-01-01
PublicationDate_xml – year: 2011
  text: 2011
PublicationDecade 2010
PublicationPlace Berlin, Heidelberg
PublicationPlace_xml – name: Berlin, Heidelberg
PublicationSeriesTitle Lecture Notes in Computer Science
PublicationSubtitle 16th Iberoamerican Congress, CIARP 2011, Pucón, Chile, November 15-18, 2011. Proceedings
PublicationTitle Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
PublicationYear 2011
Publisher Springer Berlin Heidelberg
Publisher_xml – name: Springer Berlin Heidelberg
RelatedPersons Kleinberg, Jon M.
Mattern, Friedemann
Nierstrasz, Oscar
Steffen, Bernhard
Kittler, Josef
Vardi, Moshe Y.
Weikum, Gerhard
Sudan, Madhu
Naor, Moni
Mitchell, John C.
Terzopoulos, Demetri
Pandu Rangan, C.
Kanade, Takeo
Hutchison, David
Tygar, Doug
RelatedPersons_xml – sequence: 1
  givenname: David
  surname: Hutchison
  fullname: Hutchison, David
  organization: Lancaster University, Lancaster, UK
– sequence: 2
  givenname: Takeo
  surname: Kanade
  fullname: Kanade, Takeo
  organization: Carnegie Mellon University, Pittsburgh, USA
– sequence: 3
  givenname: Josef
  surname: Kittler
  fullname: Kittler, Josef
  organization: University of Surrey, Guildford, UK
– sequence: 4
  givenname: Jon M.
  surname: Kleinberg
  fullname: Kleinberg, Jon M.
  organization: Cornell University, Ithaca, USA
– sequence: 5
  givenname: Friedemann
  surname: Mattern
  fullname: Mattern, Friedemann
  organization: ETH Zurich, Zurich, Switzerland
– sequence: 6
  givenname: John C.
  surname: Mitchell
  fullname: Mitchell, John C.
  organization: Stanford University, Stanford, USA
– sequence: 7
  givenname: Moni
  surname: Naor
  fullname: Naor, Moni
  organization: Weizmann Institute of Science, Rehovot, Israel
– sequence: 8
  givenname: Oscar
  surname: Nierstrasz
  fullname: Nierstrasz, Oscar
  organization: University of Bern, Bern, Switzerland
– sequence: 9
  givenname: C.
  surname: Pandu Rangan
  fullname: Pandu Rangan, C.
  organization: Indian Institute of Technology, Madras, India
– sequence: 10
  givenname: Bernhard
  surname: Steffen
  fullname: Steffen, Bernhard
  organization: University of Dortmund, Dortmund, Germany
– sequence: 11
  givenname: Madhu
  surname: Sudan
  fullname: Sudan, Madhu
  organization: Massachusetts Institute of Technology, USA
– sequence: 12
  givenname: Demetri
  surname: Terzopoulos
  fullname: Terzopoulos, Demetri
  organization: University of California, Los Angeles, USA
– sequence: 13
  givenname: Doug
  surname: Tygar
  fullname: Tygar, Doug
  organization: University of California, Berkeley, USA
– sequence: 14
  givenname: Moshe Y.
  surname: Vardi
  fullname: Vardi, Moshe Y.
  organization: Rice University, Houston, USA
– sequence: 15
  givenname: Gerhard
  surname: Weikum
  fullname: Weikum, Gerhard
  organization: Max-Planck Institute of Computer Science, Saarbrücken, Germany
SSID ssj0000610644
ssj0002792
Score 1.3875545
Snippet This paper presents a method for automatic segmentation of some short association fiber bundles from massive dMRI tractography datasets. The method is based on...
SourceID springer
SourceType Publisher
StartPage 701
SubjectTerms Dirichlet Process Mixture Model
Orientation Distribution Function
Right Hemisphere
Talairach Space
White Matter Bundle
Title Segmentation of Short Association Bundles in Massive Tractography Datasets Using a Multi-subject Bundle Atlas
URI http://link.springer.com/10.1007/978-3-642-25085-9_83
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lj9MwELa65QIcgAXEWz5wi4LSOg_nwKHAotWyXSHRXe0tsl1nW9GkVZMgwe_mBzDjOKl3qZCWS5RGjpPMfB2Px_ONCXmr56BW0KuvtAj9UMapL1M19tk8UCzOx2kgkJw8PYuPz8OTy-hyMPjtZC01tXynfu3llfyPVuEa6BVZsrfQbN8pXIBz0C8cQcNwvOH8Xg-ztkUvMLMK7dSyxEL7GNhDJ7BNB7KErgIzcrq6IyYmajdx8C4Mp7zL3Zw4y9h9Rk6jfwizCxF0X-hVb78_NWolNq2xWm0WzsL813Wzsav4P7e73I2p2G7Fd7VY-l-E0sWNUIBlpOirwtKgjAP7bQHzAhc83ocG60GYz52Cx48ZTzOkeNma24DfGkbkuvLaLAjhGW6xXzUSQ032dm9Sr2w-FGpIV-9P7SLK2bpuO-9FZM2eGxcx7EA3LtLFRb1_lA0zFJYQLFrAQzfIymCUgHlWa3h1OzDEWO6RteVVrbFP7OO0_cX3DkluFkqMXKgI-R5pxtkBOUh4NCR3Jkcnpxd9ZBA8LPATw96fwBKP7VpY-1bIUOre2taQ2n2Fww7d98i_1vuNGzV7SO4jtYYi5wUE_IgMdHlIHnQCp1bgh-SeUyXzMSlcbNB1Tg02qIMNarFBlyW12KAuNmiHDWqwQQW9hg17OzXYeELOPx_NPh77dpcQvxqNGPPnkWYy5zJNwNuOkDrOEg7mRos4EILLaCSZECLlecyhgeKJSMcwzwDB5nzEFHtKhuW61M8IDbiIuASHF-xWKNVIgGTzHBrPE5nqPH5OvE56Gf7vq6wr-g2yzlgGss6MrDOU9YtbtX5J7u5Q_IoM622jX4O_W8s3FiB_AOn4po8
linkProvider Library Specific Holdings
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=bookitem&rft.title=Progress+in+Pattern+Recognition%2C+Image+Analysis%2C+Computer+Vision%2C+and+Applications&rft.au=Guevara%2C+Pamela&rft.au=Duclap%2C+Delphine&rft.au=Poupon%2C+Cyril&rft.au=Marrakchi-Kacem%2C+Linda&rft.atitle=Segmentation+of+Short+Association+Bundles+in+Massive+Tractography+Datasets+Using+a+Multi-subject+Bundle+Atlas&rft.series=Lecture+Notes+in+Computer+Science&rft.date=2011-01-01&rft.pub=Springer+Berlin+Heidelberg&rft.isbn=9783642250842&rft.issn=0302-9743&rft.eissn=1611-3349&rft.spage=701&rft.epage=708&rft_id=info:doi/10.1007%2F978-3-642-25085-9_83
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0302-9743&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0302-9743&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0302-9743&client=summon