NDLI: Framework for Creating New Discriminats for Detecting DTI properties: DTI Mapper

Content Provider	IEEE Xplore Digital Library
Author	Sakai, K. Sakamoto, N. Nonaka, J. Yasuhara, Y. Koyamada, K.
Copyright Year	2006
Description	Author affiliation: Kyoto Univ. (Sakai, K.; Sakamoto, N.; Nonaka, J.; Yasuhara, Y.; Koyamada, K.)
Abstract	We have commonly employed medical images, not including X-ray photography, which have their image enhanced by taking advantage of certain characteristics of the human body to look for some valuable medical information. In general, the medical imaging modalities have employed an image acquisition method which enhances a certain feature of the seat of a disease for later processing of the acquired images. Typical examples of the feature enhancement for medical images are the active area mapping on fMRI using statistical parametric mapping (SPM), and the diffusivity mapping on diffusion tensor imaging (DTI) using fractional anisotropy (FA), apparent diffusion coefficient (ABC) or relative anisotropy (RA). Especially in DTI, many researchers have been trying to reveal the current state of a disease without any invasion of the body by using some variable discriminants. In this paper, we propose a framework, which supports and promotes the creation of new discriminants for DTI. The proposed system enables the users to create new discriminants by using eigen values from the voxels of DTI data, and to search for important clinical information applying discriminant mapping to the DTI slice images
Sponsorship	IEEE EMB
Starting Page	4835
Ending Page	4839
File Size	589872
Page Count	5
File Format	PDF
ISBN	1424400325
ISSN	1557170X
DOI	10.1109/IEMBS.2006.259898
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Diffusion tensor imaging Biomedical imaging Diseases DICOM Medical diagnostic imaging Anisotropic magnetoresistance Humans Cities and towns USA Councils Imaging phantoms
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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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
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