Brain lesion segmentation through image synthesis and outlier detection

• Published in: NeuroImage clinical Vol. 16; pp. 643 - 658
• Main Authors: Bowles, Christopher, Qin, Chen, Guerrero, Ricardo, Gunn, Roger, Hammers, Alexander, Dickie, David Alexander, Valdés Hernández, Maria, Wardlaw, Joanna, Rueckert, Daniel
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01.01.2017; Elsevier
• Subjects: Adult; Algorithms; Brain - diagnostic imaging; Cerebral Small Vessel Diseases - diagnostic imaging; Female; Humans; Image Processing, Computer-Assisted - methods; Magnetic Resonance Imaging - methods; Male; Radiology; Regular; Support Vector Machine

Cerebral small vessel disease (SVD) can manifest in a number of ways. Many of these result in hyperintense regions visible on T2-weighted magnetic resonance (MR) images. The automatic segmentation of these lesions has been the focus of many studies. However, previous methods tended to be limited to...