NDLI: Probabilistic Brain Lesion Segmentation in DT-MRI

Content Provider	IEEE Xplore Digital Library
Author	Agam, G. Weiss, D. Soman, M. Arfanakis, K.
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Sci., Illinois Inst. of Technol., Chicago, IL, USA (Agam, G.; Weiss, D.; Soman, M.)
Abstract	Lesion segmentation in MRI scans is used for lesion quantification as pertaining to various medical conditions. We propose a novel technique for chronic stroke lesion segmentation based on multiple modalities including T1-weighted and T2-weighted images as well as diffusion tensor-based modalities. The proposed approach is based on a mixture-parametric probabilistic model whereas the model parameters are optimized by maximizing the incomplete-data log-likelihood function through expectation maximization. The mixture components are selected to have Cauchy distributions thus facilitating efficient computation and increased robustness to noise. A probabilistic prior is computed by evaluating the feature vectors for a set of registered brain scans in a control set. Experimental results on actual clinical data demonstrate the effectiveness of the proposed approach.
Starting Page	89
Ending Page	92
File Size	4697142
Page Count	4
File Format	PDF
ISBN	1424404800
ISSN	15224880
DOI	10.1109/ICIP.2006.312369
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lesions Diffusion tensor imaging Image segmentation Magnetic resonance imaging Multiple sclerosis Brain Medical conditions Biomedical computing Shape Computer science stochastic approximation object detection image shape analysis biomedical imaging magnetic resonance imaging
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in