Brain lesion segmentation of diffusion-weighted MRI using thresholding technique

• Main Authors: Mohd. Saad, N., Salahuddin, L., Syed Abu Bakar, Syed Abdul Rahman, Muda, S., Mohd. Mokji, Musa
• Other Authors: Abu Osman , Noor Azuan
• Format: Book Section
• Published: Springer Berlin Heidelberg 2011
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/28923/; http://dx.doi.org/10.1007/978-3-642-21729-6_150
• Institution: Universiti Teknologi Malaysia

his paper presents brain lesion segmentation of diffusion-weighted magnetic resonance images (DW-MRI or DWI) based on thresholding technique. The lesions are solid tumor, acute infarction, haemorrhage, and abscess. Pre-processing is applied to the DWI for normalization, background removal and enhancement. Two different techniques which are Gamma-law transformation and contrast stretching are applied for the enhancement. For the image segmentation process, the DWI is divided by 8 x 8 regions. Then image histogram is calculated at each region to find the maximum number of pixels for each intensity level. The optimal threshold is determined by comparing normal and lesion regions. By using Gamma-law transformation, 0.48 is found as the optimal thresholding value whereas 0.28 for the contrast stretching. The proposed technique has been validated by using area overlap (AO), false positive rate (FPR), and false negative rate (FNR). Thresholding with gamma-law transformation algorithm provides better segmentation results compared to contrast stretching technique. The proposed technique provides good brain lesion segmentation results even though the simplest segmentation technique is used.