MIAL

Congratulations to Andrew for his very successful MSc thesis defence!

January 25, 2012

Congratulations to Andrew for his very successful MSc thesis defence! 

Defence details are listed below.  You can visit turtleseg.org for a software implementation of the uncertainty guided interactive 3D segmentation software.

M.SC. THESIS DEFENSE AND SEMINAR

Andrew Top

BMath, University of Waterloo, Ontario, Canada, 2007

Wednesday, January 25, 2012  11:00 a.m.  TASC1 9204 West

Title

AUTOMATED CONFIDENCE-BASED USER GUIDANCE FOR INCREASING EFFICIENCY IN INTERACTIVE 3D IMAGE SEGMENTATION

Abstract

In this thesis, we improve the standard 3D medical image interactive segmentation work flow. Drawing from the field of Active Learning, we propose a method for automating the process of deciding where the user should provide input next for optimally improving the segmentation. Specifically, we evaluate a given intermediate segmentation by constructing an uncertainty field over the image domain based on a multitude of segmentation quality metrics. We then find the plane that intersects with maximal uncertainty, and present it to the user for segmentation as an active batch query. We demonstrate the method through two embodiments, one using the Random Walker segmentation algorithm, and the other using the 3D Livewire method as seen in the software tool, TurtleSeg. We show that in both implementations, our method makes better decisions than user intuition and greatly reduces user interaction time.

M.Sc. Examining Committee:
Dr. Ghassan Hamarneh, Senior Supervisor
Dr. Rafeef Abugharbieh, UBC, Supervisor
Dr. Torsten Möller, Supervisor
Dr. Richard Hao Zhang, Examiner
Dr. Robert F. Hadley, Chair

 


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