| Brain tissue segmentation in PET-CT images using probabilistic atlas and variational Bayes inference. | |
| | |
MedLine Citation:
|
PMID: 22256189 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
|
PET-CT provides aligned anatomical (CT) and functional (PET) images in a single scan, and has the potential to improve brain PET image segmentation, which can in turn improve quantitative clinical analyses. We propose a statistical segmentation algorithm that incorporates the prior anatomical knowledge represented by probabilistic brain atlas into the variational Bayes inference to delineate gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF) in brain PET-CT images. Our approach adds an additional novel aspect by allowing voxels to have variable and adaptive prior probabilities of belonging to each class. We compared our algorithm to the segmentation approaches implemented in the expectation maximization segmentation (EMS) and statistical parametric mapping (SPM8) packages in 26 clinical cases. The results show that our algorithm improves the accuracy of brain PET-CT image segmentation. |
| | |
Authors:
|
Yong Xia; Jiabin Wang; Stefan Eberl; Michael Fulham; David Dagan Feng |
Related Documents
:
|
20083369 - The value of preprocedure computed tomography for planning insertion of inferior vena c... 2006289 - Liver transplantation: mr angiography with surgical validation. 2961759 - Computed tomography in the assessment of myonecrosis. 12389129 - Detection of acute cerebral ischaemia with tc-99m apcitide scintigraphy. 2026809 - Ct diagnosis of renal vein thrombosis in nephrotic syndrome. 16929019 - Sonographic elasticity imaging of acute and chronic deep venous thrombosis in humans. 21760989 - Joint assessment of structural, perfusion, and diffusion mri in alzheimer's disease and... 2162069 - Multicentric adenocarcinoma of the lung: ct-pathologic correlation. 22253129 - Interrater agreement of nasal endoscopy for chronic rhinosinusitis. |
Publication Detail:
|
Type: Journal Article |
Journal Detail:
|
Title: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference Volume: 2011 ISSN: 1557-170X ISO Abbreviation: Conf Proc IEEE Eng Med Biol Soc Publication Date: 2011 Aug |
Date Detail:
|
Created Date: 2012-01-18 Completed Date: - Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 101243413 Medline TA: Conf Proc IEEE Eng Med Biol Soc Country: United States |
Other Details:
|
Languages: eng Pagination: 7969-72 Citation Subset: IM |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
|
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Classification of astrocytomas and oligodendrogliomas from mass spectrometry data using sparse kerne...
Next Document: Segmentation of brain tumors in MRI images using multi-scale gradient vector flow.