Murdoch University Research Repository

Welcome to the Murdoch University Research Repository

The Murdoch University Research Repository is an open access digital collection of research
created by Murdoch University staff, researchers and postgraduate students.

Learn more

Optical flow for validating medical image registration

Cooper, J.R. and Ritter, N. (2003) Optical flow for validating medical image registration. In: IASTED International Conference on Signal and Image Processing (SIP) 2003, 13 - 15 August 2003, Honolulu, Hawaii


Many approaches to the task of computing medical image registration have been presented, but there is little knowledge of how to evaluate the quality of the models of trans- formation these approaches use, or accuracy of the computed parameters. There is the well -known technique of comparing the reference image to a transformed secondary image [1], but evidence to support or deny accuracy of the transformation is still hard to obtain.

This paper presents a technique to give researchers and clinicians clear visual evidence to validate the accuracy of 2D and 3D registration of medical images. It works by borrowing the computer vision technique of optical flow to compute disparities between the reference image and the transformed secondary image. The resulting disparity in- formation may be presented as a needle diagram to assist with communication of results via paper, or used in subsequent steps of a registration algorithm.

Item Type: Conference Paper
Murdoch Affiliation(s): School of Information Technology
Conference Website:
Item Control Page Item Control Page