3D Vessel Segmentation and Its Applications

PhD Thesis Proposal Defence


Title: "3D Vessel Segmentation and Its Applications"

by

Miss Ning ZHU


Abstract:

In recent years, vessel disease, which is one of the major causes of death 
around the world, has become an important health problem. Vessel 
segmentation is an important technique, and it can help the diagnosis, 
visualization, treatment and surgery planning for vessel diseases. In this 
proposal, we first review existing techniques for 3D vessel segmentation. 
Then several vessel segmentation techniques including centerline detection 
method (Minimum Average-cost Path for 4D Optimization), centerline-based 
segmentation methods (Optimal Cross Sections and Graph Optimization via 
graph cuts) and segmentation methods without ROI restriction (Random Walks 
with ACF, Random Walk based CEDA Optimization, Power-watershed based 
Optimization with TMT, Single Target Segmentation with AP-TMT) are 
proposed. Among these methods, Random Walk based CEDA Optimization is 
evaluated on public evaluation system and proved to be more accurate than 
all state-of-the-art methods on segmentation accuracy for healthy vessels. 
As for diseased vessel parts, comparable results are obtained.

Vessel stenosis is one major type of vascular diseases. Because of the 
complex structure of stenoses, both detection and quantification of 
stenoses are challenging. In this proposal, two segmentation and feature 
based methods (PWIS and type-based) and one learning based stenosis 
detection method is proposed and evaluated to be effective in improving 
the stenoses detection rates.


Date:			Tueesday, 20 May 2014

Time:                   10:00am - 12:00noon

Venue:                  Room 4480
                         lifts 25/26

Committee Members:	Dr. Albert Chung (Supervisor)
 			Prof. Chiew-Lan Tai (Chairperson)
 			Prof. Dit-Yan Yeung
 			Dr. Weichuan Yu (ECE)


**** ALL are Welcome ****