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A Review on Analysis and Quantification of Specific Learning Disability (SLD) with fMRI using Image Processing Techniques

Published on None 2011 by Suresh P., Dr. K. Bommanna Raja
International Conference on VLSI, Communication & Instrumentation
Foundation of Computer Science USA
ICVCI - Number 5
None 2011
Authors: Suresh P., Dr. K. Bommanna Raja
753f1362-a57f-4baf-9654-ecf2f84f3861

Suresh P., Dr. K. Bommanna Raja . A Review on Analysis and Quantification of Specific Learning Disability (SLD) with fMRI using Image Processing Techniques. International Conference on VLSI, Communication & Instrumentation. ICVCI, 5 (None 2011), 24-29.

@article{
author = { Suresh P., Dr. K. Bommanna Raja },
title = { A Review on Analysis and Quantification of Specific Learning Disability (SLD) with fMRI using Image Processing Techniques },
journal = { International Conference on VLSI, Communication & Instrumentation },
issue_date = { None 2011 },
volume = { ICVCI },
number = { 5 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 24-29 },
numpages = 6,
url = { /proceedings/icvci/number5/2661-1272/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on VLSI, Communication & Instrumentation
%A Suresh P.
%A Dr. K. Bommanna Raja
%T A Review on Analysis and Quantification of Specific Learning Disability (SLD) with fMRI using Image Processing Techniques
%J International Conference on VLSI, Communication & Instrumentation
%@ 0975-8887
%V ICVCI
%N 5
%P 24-29
%D 2011
%I International Journal of Computer Applications
Abstract

Specific learning Disabilities (SLD) is a generic term that refers to a heterogeneous group of disorders manifested by significant, unexpected, specific and persistent difficulties in the acquisition and use of efficient reading (Dyslexia), writing (Dysgraphia) or math (Dyscalculia) abilities despite conventional instructions, intact senses, normal intelligence and adequate education. Conventional methods for the diagnosis of SLD are subjective of nature. This paper proposes an objective view towards the quantification of SLD features with Functional Magnetic Resonance Imaging (fMRI) using image processing techniques. Research works on brain imaging points that dyslexia, dysgraphia and dyscalculia represents fMRI brain signal activities in specific regions of the brain that are distinguishable from healthy brain fMRI’s. The analysis of features extracted from the pre-processed fMRI images quantifies the classification of SLD, depth of severity, degree of recovery and post doctoral therapy.

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Index Terms

Computer Science
Information Sciences

Keywords

Specific Learning Disability (SLD) Dyslexia Dysgraphia Dyscalculia fMRI Feature detection