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Brain MR image segmentation using multiphase active contours based on local and global fitted images.

Akram, Farhan; Singh, Vivek Kumar; Sarker, Md. Mostafa Kamal; Garcia, Miguel Angel; Puig, Domenec

Authors

Farhan Akram

Vivek Kumar Singh

Miguel Angel Garcia

Domenec Puig



Contributors

Zoe Falomir
Editor

Karina Gilbert
Editor

Enric Plaza
Editor

Abstract

The study of white matter (WM), grey matter (GM) and cerebrospinal fluid (CSF) regions in the brain magnetic resonance (MR) images can be useful for determining different brain disorders, assisting brain surgery, post-surgical analysis, saliency detection and for studying regions of interest. In this paper, a novel hybrid region-based multiphase (four-phase) active contours method is proposed to partition a brain MR image into three distinct regions i.e., GM, WM and CSF. The proposed energy functional is formulated by combining local and global fitted images in a multiplicative fashion. Both fitted images are defined by integrating two-phase global and local intensity from Chan-Vese (CV) and local binary fitted (LBF) models, respectively. In this paper, a post processing (pixel correction) method is also devised which improves the accuracy of the segmented WM, GM and CSF regions in a brain MR image. Different thresholds are decided based on averages of all three regions. According to the computed thresholds, a binary value (0 or 1) is then assigned to each pixel. Experimental results using both two-dimensional (2D) and three-dimensional (3D) brain MR images show that the proposed method outperforms the state-of-the-art both qualitatively and quantitatively.

Citation

AKRAM, F., SINGH, V.K., SARKER, M.M.K., GARCIA, M.A. and PUIG, D. 2018. Brain MR image segmentation using multiphase active contours based on local and global fitter images. In Falomir, Z., Gilbert, K. and Plaza, E. (eds.). Artificial intelligence research and development: current challenges, new trends and applications; contributions from 21st international conference of Catalan Association for Artificial Intelligence 2018 (CCIA 2018), 8-10 October 2018, Alt Empordà, Spain. Frontiers in artificial intelligence and applications, 308. Amsterdam: IOP Press [online], pages 325-334. Available from: https://doi.org/10.3233/978-1-61499-918-8-325

Conference Name 21st international conference of Catalan Association for Artificial Intelligence 2018 (CCIA 2018)
Conference Location Alt Empordà, Catalonia
Start Date Oct 8, 2018
End Date Oct 10, 2018
Acceptance Date Jun 4, 2018
Online Publication Date Oct 10, 2018
Publication Date Oct 31, 2018
Deposit Date Dec 4, 2021
Publicly Available Date Jan 31, 2022
Publisher IOS Press
Pages 325-334
Series Title Frontiers in artificial intelligence and applications
Series Number 308
Series ISSN 0922-6389
Book Title Artificial intelligence research and development: current challenges, new trends and applications
ISBN 9781614999171
DOI https://doi.org/10.3233/978-1-61499-918-8-325
Keywords Active contours; Multiphase; Local and global fitted images; Brain segmentation; Pixel correction; Thresholding
Public URL https://rgu-repository.worktribe.com/output/1542075

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