A novel skull stripping technique for T1-weighted MRI human head scans

Authors:
K. Somasundaram;P. Kalavathi
Affiliations:
Deemed University, Tamilnadu, India;Deemed University, Tamilnadu, India
Venue:
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Year:
2012

Citing 2
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Digital Image Processing

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The Skull Stripping Problem in MRI Solved by a Single 3D Watershed Transform

MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention

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Abstract

Automatic segmentation of brain tissues from magnetic resonance images still remains as a challenge due to variations in shape and size, use of different pulse sequences, overlapping signal intensities and imaging artifacts. In this paper, an automatic method to segment the brain regions from T1-weighted MRI human head scans is proposed. This method consists of two stages. In Stage-1, the brain region in the middle slice of the volume is extracted. The brain regions in the remaining slices are extracted in Stage-2. In each stage the binary form of the brain image is processed to find the rough brain mask. The boundary of the fine brain region in the rough brain is detected using the contour lines. The proposed method is robust to the variability of brain anatomy and image orientation. The experimental results using 60 volumes of T1-weighted brain images show that the proposed method extracts the brain regions more accurately than by the popular methods BET, BSE, WAT, HWA and GCUT.