A New Method of Brain Tissues Segmentation from MRI with Accuracy Estimation

In this paper, a new concept has been incorporated using level set methodology for the specific segmentation of brain tissues in magnetic resonance imaging (MRI) brain images. In this segmentation, the normal tissues such as WM (White Matter), GM (Gray Matter) and CSF (Cerebrospinal Fluid) with othe...

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Bibliographic Details
Published inProcedia computer science Vol. 85; pp. 362 - 369
Main Authors Roy, Sudipta, Bandyopadhyay, Samir Kumar
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2016
Subjects
Abnormality
Accuracy Estimation
Brain Tissues
Level Set
MRI of brain
Performance Measurement
Segmentation
Segmentation
Level Set
Performance Measurement
MRI of brain
Brain Tissues
Abnormality
Accuracy Estimation
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Summary:In this paper, a new concept has been incorporated using level set methodology for the specific segmentation of brain tissues in magnetic resonance imaging (MRI) brain images. In this segmentation, the normal tissues such as WM (White Matter), GM (Gray Matter) and CSF (Cerebrospinal Fluid) with other part of human head such as skull, marrow, and muscular skin are segmented. The segmentation has been done by using repeated level set method based on the condition sharp peak greater than three. The each segmented component is generating a hierarchical structure to make correct tissue segmentation. The performance of the segmentation method is estimated by different accuracy, sensitivity and error correction metric. The performance of segmentation process is analyzed using a defined set of MRI brain. From visualization and mathematical both point of measurement proposed gives very superior results on brain MR images.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2016.05.244