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http://dx.doi.org/10.9717/kmms.2016.19.8.1236

Contrast-enhanced Bias-corrected Distance-regularized Level Set Method Applied to Hippocampus Segmentation  

Selma, Tisa (Department of Computer Engineering, Inje University)
Madusanka, Nuwan (Department of Computer Engineering, Inje University)
Kim, Tae-Hyung (Department of BioMedical Engineering, Inje University)
Kim, Young-Hoon (Department of Psychiatry, Inje University Hospital)
Mun, Chi-Woong (Department of BioMedical Engineering, Inje University)
Choi, Heung-Kook (Department of Computer Engineering, Inje University)
Publication Information
Journal of Korea Multimedia Society / v.19, no.8, 2016 , pp. 1236-1247 More about this Journal
Abstract
Recently, the level set has become a popular method in many research fields. The main reason is that it can be modified into many variants. One such case is our proposed method. We describe a contrast-enhancement method to segment the hippocampal region from the background. However, the hippocampus region has quite similar intensities to the neighboring pixel intensities. In addition, to handle the inhomogeneous intensities of the hippocampus, we used a bias correction before hippocampal segmentation. Thus, we developed a contrast-enhanced bias-corrected distance-regularized level set (CBDLS) to segment the hippocampus in magnetic resonance imaging (MRI). It shows better performance than the distance-regularized level set evolution (DLS) and bias-corrected distance-regularized level set (BDLS) methods in 33 MRI images of one normal patient. Segmentation after contrast enhancement and bias correction can be done more accurately than segmentation while not using a bias-correction method and without contrast enhancement.
Keywords
Contrast-enhancement Method; Hippocampus Segmentation; Distance-regularized Level Set; Magnetic Resonance Imaging (MRI);
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