Automated probabilistic reconstruction of white-matter pathways in health and disease using an atlas of the underlying anatomy
We have developed a method for automated probabilistic reconstruction of a set of major white-matter pathways from diffusion-weighted MR images. Our method is called TRACULA (TRActs Constrained by UnderLying Anatomy) and utilizes prior information on the anatomy of the pathways from a set of trainin...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2011-10-01
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| Series: | Frontiers in Neuroinformatics |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fninf.2011.00023/full |
| _version_ | 1818203563992547328 |
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| author | Anastasia eYendiki Patricia ePanneck Priti eSrinivasan Allison eStevens Lilla eZöllei Jean eAugustinack Ruopeng eWang David eSalat Stefan eEhrlich Stefan eEhrlich Tim eBehrens Saad eJbabdi Randy eGollub Randy eGollub Bruce eFischl Bruce eFischl |
| author_facet | Anastasia eYendiki Patricia ePanneck Priti eSrinivasan Allison eStevens Lilla eZöllei Jean eAugustinack Ruopeng eWang David eSalat Stefan eEhrlich Stefan eEhrlich Tim eBehrens Saad eJbabdi Randy eGollub Randy eGollub Bruce eFischl Bruce eFischl |
| author_sort | Anastasia eYendiki |
| collection | DOAJ |
| description | We have developed a method for automated probabilistic reconstruction of a set of major white-matter pathways from diffusion-weighted MR images. Our method is called TRACULA (TRActs Constrained by UnderLying Anatomy) and utilizes prior information on the anatomy of the pathways from a set of training subjects. By incorporating this prior knowledge in the reconstruction procedure, our method obviates the need for manual interaction with the tract solutions at a later stage and thus facilitates the application of tractography to large studies. In this paper we illustrate the application of the method on data from a schizophrenia study and investigate whether the inclusion of both patients and healthy subjects in the training set affects our ability to reconstruct the pathways reliably. We show that, since our method does not constrain the exact spatial location or shape of the pathways but only their trajectory relative to the surrounding anatomical structures, a set a of healthy training subjects can be used to reconstruct the pathways accurately in patients as well as in controls. |
| first_indexed | 2024-12-12T03:27:20Z |
| format | Article |
| id | doaj.art-0f8e967ff558434ea640abb4e869a0cf |
| institution | Directory Open Access Journal |
| issn | 1662-5196 |
| language | English |
| last_indexed | 2024-12-12T03:27:20Z |
| publishDate | 2011-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroinformatics |
| spelling | doaj.art-0f8e967ff558434ea640abb4e869a0cf2022-12-22T00:39:59ZengFrontiers Media S.A.Frontiers in Neuroinformatics1662-51962011-10-01510.3389/fninf.2011.0002310815Automated probabilistic reconstruction of white-matter pathways in health and disease using an atlas of the underlying anatomyAnastasia eYendiki0Patricia ePanneck1Priti eSrinivasan2Allison eStevens3Lilla eZöllei4Jean eAugustinack5Ruopeng eWang6David eSalat7Stefan eEhrlich8Stefan eEhrlich9Tim eBehrens10Saad eJbabdi11Randy eGollub12Randy eGollub13Bruce eFischl14Bruce eFischl15Massachusetts General HospitalCharite - UniversitatsmedizinMassachusetts General HospitalMassachusetts General HospitalMassachusetts General HospitalMassachusetts General HospitalMassachusetts General HospitalMassachusetts General HospitalDresden University of TechnologyMassachusetts General Hospital and Harvard Medical SchoolUniversity of OxfordUniversity of OxfordMassachusetts General HospitalMassachusetts General Hospital and Harvard Medical SchoolMassachusetts General HospitalMassachusetts Institute of TechnologyWe have developed a method for automated probabilistic reconstruction of a set of major white-matter pathways from diffusion-weighted MR images. Our method is called TRACULA (TRActs Constrained by UnderLying Anatomy) and utilizes prior information on the anatomy of the pathways from a set of training subjects. By incorporating this prior knowledge in the reconstruction procedure, our method obviates the need for manual interaction with the tract solutions at a later stage and thus facilitates the application of tractography to large studies. In this paper we illustrate the application of the method on data from a schizophrenia study and investigate whether the inclusion of both patients and healthy subjects in the training set affects our ability to reconstruct the pathways reliably. We show that, since our method does not constrain the exact spatial location or shape of the pathways but only their trajectory relative to the surrounding anatomical structures, a set a of healthy training subjects can be used to reconstruct the pathways accurately in patients as well as in controls.http://journal.frontiersin.org/Journal/10.3389/fninf.2011.00023/fulldiffusion MRItractographywhite matter |
| spellingShingle | Anastasia eYendiki Patricia ePanneck Priti eSrinivasan Allison eStevens Lilla eZöllei Jean eAugustinack Ruopeng eWang David eSalat Stefan eEhrlich Stefan eEhrlich Tim eBehrens Saad eJbabdi Randy eGollub Randy eGollub Bruce eFischl Bruce eFischl Automated probabilistic reconstruction of white-matter pathways in health and disease using an atlas of the underlying anatomy Frontiers in Neuroinformatics diffusion MRI tractography white matter |
| title | Automated probabilistic reconstruction of white-matter pathways in health and disease using an atlas of the underlying anatomy |
| title_full | Automated probabilistic reconstruction of white-matter pathways in health and disease using an atlas of the underlying anatomy |
| title_fullStr | Automated probabilistic reconstruction of white-matter pathways in health and disease using an atlas of the underlying anatomy |
| title_full_unstemmed | Automated probabilistic reconstruction of white-matter pathways in health and disease using an atlas of the underlying anatomy |
| title_short | Automated probabilistic reconstruction of white-matter pathways in health and disease using an atlas of the underlying anatomy |
| title_sort | automated probabilistic reconstruction of white matter pathways in health and disease using an atlas of the underlying anatomy |
| topic | diffusion MRI tractography white matter |
| url | http://journal.frontiersin.org/Journal/10.3389/fninf.2011.00023/full |
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