A robust comparative study of five brain extraction algorithms (BET; BSE; McStrip; SPM2; TMBE)

Author

Sara, Sandabad ; Samir, Bara ; Ahmed, Hammouch ; Bouchaib, Cherradi

Author_Institution

Lab. LRGE, Mohamed V-Souissi Univ., Rabat, Morocco

fYear

2014

Firstpage

632

Lastpage

636

Abstract

The segmentation of the brain is one of the preprocessing steps performed neuroimaging laboratories, and many brain extraction algorithms (BEA) have been developed to meet this need and to make it automatic to cope with the huge number of MRI must be treated every day. In this paper we propose a comparative study of famous different algorithms of brain extraction most popular and recent methods proposed, namely BSE (Brain Surface Extractor), BET (Brain Extraction Tool), SPM2 (Statistical Parametric Mapping v2), McStrip (Minneapolis Consensus Strip) and the new method TMBE (Threshold Morphologic Brain Extraction). This will be validated by comparison of synthetic and real MRI using different criteria for evaluation. This comparison may then play the role of a guide for future researchers.

Keywords

biomedical MRI; brain; feature extraction; image segmentation; medical image processing; statistical analysis; BEA algorithm; BET algorithm; BSE algorithm; Brain Extraction Tool algorithm; Brain Surface Extractor algorithm; McStrip algorithm; Minneapolis Consensus Strip algorithm; SPM2 algorithm; Statistical Parametric Mapping v2 algorithm; TMBE algorithm; Threshold Morphologic Brain Extraction algorithm; brain extraction algorithms; brain segmentation; neuroimaging laboratories; real MRI; synthetic MRI; Brain modeling; Cities and towns; Educational institutions; Image segmentation; Sensitivity; Web services; BET; BSE; Brain; Extraction algorithms; MRI; McStrip; SPM2; TMBE;

fLanguage

English

Publisher

ieee

Conference_Titel

Complex Systems (WCCS), 2014 Second World Conference on

Print_ISBN

978-1-4799-4648-8

Type

conf

DOI

10.1109/ICoCS.2014.7060986

Filename

7060986