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Speaker:        Dr. Albert C.S. Chung
                Assistant Professor
                Department of Computer Science
                Hong Kong University of Science & Technology

Topic:          "Multi-modal Medical Image Registration based on the
                 Expected Joint Intensity Distribution"

Date:           Monday, 13 May 2002

Time:           4:00pm - 5:00pm

Venue:          Lecture Theater F
                (Leung Yat Sing Lecture Theater, near lift nos. 25/26)
                HKUST

ABSTRACT:

This talk proposes a new multi-modal medical image registration method
based on the a priori knowledge of the expected joint intensity
distribution. The goal of the registration is to find the optimal
transformation such that the discrepancy between the expected and the
observed joint intensity distributions is minimised. The difference
between distributions is measured using the Kullback-Leibler distance
(KLD). In this talk, I will also propose a new way of constructing joint
intensity distribution based on the segmentation of anatomical structures.

The proposed KLD based registration algorithm is more computationally
efficient than the Mutual Information (MI) based method because it does
not require the calculations of marginal distributions. Also, experimental
results show that it is less dependent on the size of the sampling region.
The proposed method has been applied to 2D-3D registration problems
between DSA and MRA images.



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Biography:

Dr. Chung received his B.Engg. degree (First-Class Honours) in Computer
Engineering from the University of Hong Kong (HKU) in 1995. He was also an
exchange student at the University of British Columbia (UBC), Canada from
1992-93 with the Asian Cathay Pacific Award. He joined the Hong Kong
University of Science and Technology (HKUST) in 1996, and received his
M.Phil. degree in Computer Science in 1998. Dr. Chung was a Croucher
scholar (1998-2001). He joined the Medical Vision Laboratory at the
University of Oxford as a doctoral research student in 1998, and graduated
in 2001. He was a visiting scientist at the Artificial Intelligence
Laboratory, Massachusetts Institute of Technology (MIT) in 2001. His
research interests consist of medical image analysis and processing,
computer vision and statistical signal modelling.


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