MIAL

Fast Random Walker

MSc Student: Shawn Andrews
PhD Student: Ahmed Saad
Principal Investigator: Ghassan Hamarneh
website: Fast Random Walker

Updating segmentation results in real-time based on repeated user input is a reliable way to guarantee accuracy, paramount in medical imaging applications, while making efficient use of an expert's time. We developed an algorithm to speed up the popular, globally optimal, probabilistic Random Walker segmentation method, based on offline pre-computation, taking advantage of the time images are stored on servers prior to the analysis session.

News (Sep. 17, 2010): A new FastRW website has been created for this project. The website includes downloadable software and publications.

 

Site by Faculty of Applied Science web team, Simon Fraser University