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  • ANALYSIS OF BRAIN STRUCTURAL CHANGES IN ALZHEIMER CONDITIONS USING MR IMAGE BASED SHAPE DESCRIPTORS
ANALYSIS OF BRAIN STRUCTURAL CHANGES IN ALZHEIMER CONDITIONS USING MR IMAGE BASED SHAPE DESCRIPTORS

ANALYSIS OF BRAIN STRUCTURAL CHANGES IN ALZHEIMER CONDITIONS USING MR IMAGE BASED SHAPE DESCRIPTORS

Date25th Aug 2020

Time11:00 AM

Venue Google meet: meet.google.com/vxn-ouin-ppt

PAST EVENT

Details

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that affects a large part of the aging population around the world. The disease progression is characterized by intermediate stages of early and late mild cognitive impairment (MCI) followed by mild to severe AD. The morphological alterations of the lateral ventricles and corpus callosum of the brain are considered as significant biomarkers for AD diagnosis. Magnetic resonance imaging (MRI) is a useful technique to identify the morphological alterations of the brain, for its high resolution and soft tissue contrast. Accurate segmentation of brain regions plays a vital role in identifying the morphological variations associated with the disease progression. One of the aims of this research work is to study the shape variations of the lateral ventricle and corpus callosum from T1 weighted brain MR images for the differentiation of control, MCI and AD conditions. In this, the desired regions of interest are segmented from the whole brain images and are to be validated. In this seminar, segmentation performance carried out for the delineation of sub-anatomic brain regions in control, MCI and AD images will be discussed in detail.

Speakers

Mr. RAVI DADSENA, (AM15D002)

Applied Mechanics