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Investigating implicit shape representations for alignment of livers from serial CT examinations | IEEE Conference Publication | IEEE Xplore

Investigating implicit shape representations for alignment of livers from serial CT examinations


Abstract:

In this paper, we examine the use of implicit shape representations for nonrigid registration of serial CT liver examinations. Using ground truth in the form of correspon...Show More

Abstract:

In this paper, we examine the use of implicit shape representations for nonrigid registration of serial CT liver examinations. Using ground truth in the form of corresponding landmarks manually labeled by a radiotherapist, we carry out an experiment to determine whether nonrigid registration performs better when applied to the original image data or to images constructed from implicit representations of the liver. We compare a variety of standard regularizers (elastic, diffusion, and curvature), similarity measures (sum of squared differences and mutual information), and weighting factors, using three different implicit shape representations: the Euclidean Distance Transform, the Poisson Transform (based on the expected hitting time of a random walk), and a new transform designed to highlight concavities in the shape.
Date of Conference: 14-17 May 2008
Date Added to IEEE Xplore: 13 June 2008
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Conference Location: Paris, France

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