Binarization in Magnetic Resonance Images (MRI) of human head scans with intensity inhomogeneity

Authors:
K. Somasundaram;T. Genish
Affiliations:
Gandhigram Rural Institute, Gandhigram, Tamil Nadu, India;Gandhigram Rural Institute, Gandhigram, Tamil Nadu, India
Venue:
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
Year:
2012

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Abstract

Medical image segmentation plays a crucial role in identifying the shape and structure of human anatomy. The most widely used image segmentation algorithms are edge-based and typically rely on the intensity homogeneity of the image at the edges, which often fail to provide accurate segmentation results due to the intensity inhomogeneity. This paper proposes a boundary detection technique for segmenting the hippocampus (the subcortical structure in medial temporal lobe) from MRI with intensity inhomogeneity without ruining its boundary and structure. The image is pre-processed using a noise filter and morphology based operations. An optimal intensity threshold is then computed. We have used mean, top-hat and bottom hat filters for noise removal and Ridler Calvard method to compute the threshold value. Our method has been validated on human brain sagittal MRI, with desirable performance in the presence of intensity inhomogeneity. The proposed method works well even for weak edge. Experimental results show that our method can be used to detect boundary for accurate segmentation of hippocampus. The proposed method takes no more than 2 seconds for boundary detection.