Automated segmentation of three-dimensional MR brain images

Jonggeun Park; Byungjun Baek; Choong-Il Ahn; Kyo Bum Ku; Dong Kyun Jeong; Chulhee Lee

doi:10.1117/12.655532

15 March 2006 Automated segmentation of three-dimensional MR brain images

Jonggeun Park, Byungjun Baek, Choong-Il Ahn, Kyo Bum Ku, Dong Kyun Jeong, Chulhee Lee

Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 61444R (2006) https://doi.org/10.1117/12.655532
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

Brain segmentation is a challenging problem due to the complexity of the brain. In this paper, we propose an automated brain segmentation method for 3D magnetic resonance (MR) brain images which are represented as a sequence of 2D brain images. The proposed method consists of three steps: pre-processing, removal of non-brain regions (e.g., the skull, meninges, other organs, etc), and spinal cord restoration. In pre-processing, we perform adaptive thresholding which takes into account variable intensities of MR brain images corresponding to various image acquisition conditions. In segmentation process, we iteratively apply 2D morphological operations and masking for the sequences of 2D sagittal, coronal, and axial planes in order to remove non-brain tissues. Next, final 3D brain regions are obtained by applying OR operation for segmentation results of three planes. Finally we reconstruct the spinal cord truncated during the previous processes. Experiments are performed with fifteen 3D MR brain image sets with 8-bit gray-scale. Experiment results show the proposed algorithm is fast, and provides robust and satisfactory results.

Citation Download Citation

Jonggeun Park, Byungjun Baek, Choong-Il Ahn, Kyo Bum Ku, Dong Kyun Jeong, and Chulhee Lee "Automated segmentation of three-dimensional MR brain images", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61444R (15 March 2006); https://doi.org/10.1117/12.655532

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