Automatic white matter lesion segmentation using contrast enhanced Flair intensity and Markov Random Field

White matter lesions (WMLs) have been associated with various diseases such as stroke [1], alzheimer's disease [2,3], late life depression [4] and impairment of gait [5] etc. Different studies have shown a strong relationship between increased WMLs volume and cognitive decline [6,7]. Magnetic resonance imaging (MRI) is used for the visualization of WMLs. WMLs appear as hyperintense signal in T2-weighted and fluid attenuated inversion recovery (FLAIR) MRI images. Manual segmentation and quantification of white matter lesion is time consuming, expensive, subjective and impractical for large scale longitudinal studies.

Source: Computerized Medical Imaging and Graphics - August 28, 2015 Category: Radiology Authors: Pallab Kanti Roy, Alauddin Bhuiyan, Andrew Janke, Patricia M. Desmond, Tien Yin Wong, Walter P Abhayaratna, Kotagiri Ramamohanarao Source Type: research