Semantic Image Retrieval in Magnetic Resonance Brain Volumes

Semantic Image Retrieval in Magnetic Resonance Brain Volumes
Author(s):
Saripella Avinash Varma, Mannem Mohan, Nagaboina NagaSandeep, R.Nithish Kumar
Keywords:

Abstract
In the area of neurology often need to retrieve multimodal magnetic resonance (MR) images of the brain to study disease progression and to correlate observations across multiple subjects. Given a 2-D MR query slice, the technique identifies the 3-D volume among multiple subjects in the database, associates the query slice with a specific region of the brain, and retrieves the matching slice within this region in the identified volumes. The proposed technique is capable of retrieving an image in multimodal and noisy scenarios In this study, sup.port vector machines (SVM) are used for identifying 3-D MR volume and for performing semantic classification of the human brain into various semantic regions.
Article Details
Unique Paper ID: 145545 Publication Volume & Issue: Volume 4, Issue 10 Page(s): 306 - 309
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