Global 3D rigid registration of medical images
Fookes, Clinton B., Williams, John, & Bennamoun, Mohammed (2000) Global 3D rigid registration of medical images. In International Conference on Image Processing, 10-13 September 2000, Vancouver, Canada.
We present in this paper an iterative algorithm for the simultaneous registration of multiple 3D medical images. The proposed algorithmis a point-based registration method and is based on global registration techniques rather than the traditional pair-wise registration methods. Corresponding feature points, known as extremal points, are first automatically extracted from the 3D images and are used as the matching features in the registration process. These extremal points are stable landmarks, as the relative positions of these points are known to be invariant according to 3D rigid transformations. The registration algorithm is based on a novel weighted least squares formulation and it also incorporates 3D noise models on the extracted feature points. Results will be presented for the 3D rigid registration of three successive images of the same patient taken at different periods of time.
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|Item Type:||Conference Paper|
|Keywords:||3D Rigid Registration, Medical Imaging|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)|
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
Past > Schools > School of Engineering Systems
|Copyright Owner:||Copyright 2000 IEEE Computer Society|
|Copyright Statement:||Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Deposited On:||17 Feb 2009 12:56|
|Last Modified:||09 Jun 2010 23:22|
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