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Proceedings Paper

New approach for the pelvic registration and fusion of CT and MR images
Author(s): Yuh-Hwan Liu; Yung-Nien Sun; Jong-Iuan Chiou
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Paper Abstract

This paper presents a two-passed registration method to register the pelvic CT and MR images. The geometrical relationship between CT and Mr images is determined by some uniquely selected internal landmarks which are all located on the coxal bone. Thus, it can be assumed to be a rigid transformation. In the first passed registration, the relative feature vectors, such as the normal vectors, such as the normal vectors of acetabular rim planes and the vector connecting two centroids of rims, are extracted and used for registration. The relative feature vectors determined based on the edge of acetabular rims are one of few features which can be observed on both CT and Mr images. The registration results based on the relative feature vectors are less influenced by the variation in the accuracy of the detection of absolute feature points. In the second passed registration, the corner points of sacrum are used to eliminate the distortion in z-directions. The least square error approximation is used to obtain the transformation matrix in both registration passes. In addition, a complete system is developed to provide clinicians with all image processing operations and visualization. For the visualization of fused data, 2D overlapping display and 3D transparent display are used to illustrate the correspondence of different structures, including bones and soft tissues. The fused images well demonstrate the information from two complementary modalities and are highly appreciated in clinical applications.

Paper Details

Date Published: 25 April 1997
PDF: 12 pages
Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); doi: 10.1117/12.274079
Show Author Affiliations
Yuh-Hwan Liu, National Cheng-Kung Univ. (Taiwan)
Yung-Nien Sun, National Cheng-Kung Univ. (Taiwan)
Jong-Iuan Chiou, National Cheng-Kung Univ. (Taiwan)

Published in SPIE Proceedings Vol. 3034:
Medical Imaging 1997: Image Processing
Kenneth M. Hanson, Editor(s)

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