Bounding box based automatic segmentation of brain tumors using random walker and active contours from brain MRI

Author

Juhi, P.S. ; Kumar, Sahoo Subhendu

Author_Institution

Control & Instrum., Noorul Islam Univ., Kumaracoil, India

fYear

2014

fDate

10-11 July 2014

Firstpage

700

Lastpage

704

Abstract

This paper reveals a computer aided system aimed at automatically segmenting brain tumors from MRI images is proposed, using bounding box-Active contour and Random walker algorithm. This method performs fast and accurate segmentation results by segmenting the most dissimilar regions of a tumor image. This paper overviews the benefits of automatic segmentation than the manual segmentation algorithms and we are proving that this algorithm is better than most of the segmentation.

Keywords

biomedical MRI; brain; edge detection; geometry; image matching; image segmentation; medical image processing; neurophysiology; random processes; tumours; Random walker algorithm; automatic brain tumor segmentation; bounding box based segmentation; bounding box-active contour method; brain MRI; computer aided system; manual segmentation algorithm; random walker; tumor image dissimilar region segmentation; Accuracy; Active contours; Educational institutions; Image segmentation; Instruments; Magnetic resonance imaging; Tumors; Active contour; Fast bounding box; Random walker segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on

Conference_Location

Kanyakumari

Print_ISBN

978-1-4799-4191-9

Type

conf

DOI

10.1109/ICCICCT.2014.6993050

Filename

6993050