EUROPEAN JOURNAL OF
PHARMACEUTICAL AND MEDICAL RESEARCH

An International Peer Reviewed Journal for Pharmaceutical, Medical & Biological Sciences

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

European Journal of Pharmaceutical and Medical Research (EJPMR) has indexed with various reputed international bodies like : Google Scholar , Indian Science Publications , InfoBase Index (In Process) , SOCOLAR, China , Research Bible, Fuchu, Tokyo. JAPAN , International Society for Research activity (ISRA) , Scientific Indexing Services (SIS) , Polish Scholarly Bibliography , Global Impact Factor (GIF) (Under Process) , Universal Impact Factor , International Scientific Indexing (ISI), UAE  , Index Copernicus , CAS (A Division of American Chemical Society) USA (Under Process) , Directory of Open Access Journal (DOAJ, Sweden, in process) , UDLedge Science Citation Index , CiteFactor , Directory Of Research Journal Indexing (DRJI) , Indian citation Index (ICI) , Journal Index (JI, Under Process) , Directory of abstract indexing for Journals (DAIJ) , Open Access Journals (Under Process) , Impact Factor Services For International Journals (IFSIJ) , Cosmos Impact Factor , Jour Informatics (Under Process) , Eurasian Scientific Journal Index (ESJI) , International Innovative Journal Impact Factor (IIJIF) , Science Library Index, Dubai, United Arab Emirates , Pubmed Database [NLM ID: 101669306] (Under Process) , 

 ISSN 2394-3211

Impact Factor: 4.897

 ICV - 79.57

Abstract

DETECTION OF MULTIPLE SCLEROSIS- A PROPOSED METHOD

Sudipta Roy and Prof. Samir Kumar Bandyopadhyay*

ABSTRACT

Multiple sclerosis (MS) is one of the major diseases, and the progressive MS lesion formation often leads to cognitive decline and physical disability. In this paper, a method has been discussed where background generation and binarization using global threshold are the key steps for MS lesions detection and segmentation. After performing three phase level set, we add third phase segmented region with a contour of the brain to connect the normal tissues near the boundary. Then remove all lesions except largest connected area and corpus callosum of the brain to generate adaptive background. The binarization method is used to select the threshold based on entropy and standard deviation preceded by non-gamut image enhancement. Proposed method accurately identifies the size and number of lesions as well as location of lesions detection as a radiologist performs. The adaptability of the proposed method creates a number of potential opportunities for use in clinical practice for the detection of MS lesions in MRI. Proposed method gives an improved accuracy, and low error compares to existing recent methods.

Keywords: MS lesion, Binarization, Multiple sclerosis.


[Full Text Article]

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Google Scholar Indian Science Publications InfoBase Index (In Process) SOCOLAR, China Research Bible, Fuchu, Tokyo. JAPAN International Society for Research activity (ISRA) Scientific Indexing Services (SIS) Polish Scholarly Bibliography Global Impact Factor (GIF) (Under Process) Universal Impact Factor International Scientific Indexing (ISI), UAE Index Copernicus CAS (A Division of American Chemical Society) USA (Under Process) Directory of Open Access Journal (DOAJ, Sweden, in process) UDLedge Science Citation Index CiteFactor Directory Of Research Journal Indexing (DRJI) Indian citation Index (ICI) Journal Index (JI, Under Process) Directory of abstract indexing for Journals (DAIJ) Open Access Journals (Under Process) Impact Factor Services For International Journals (IFSIJ) Cosmos Impact Factor Jour Informatics (Under Process) Eurasian Scientific Journal Index (ESJI) International Innovative Journal Impact Factor (IIJIF) Science Library Index, Dubai, United Arab Emirates Pubmed Database [NLM ID: 101669306] (Under Process)