Unifying energy minimization and mutual information maximization for robust 2D/3D registration of X-ray and CT images

Zheng, Guoyan (2007). Unifying energy minimization and mutual information maximization for robust 2D/3D registration of X-ray and CT images. In: Hamprecht, Fred A.; Schnörr, Christoph; Jähne, Bernd (eds.) Pattern Recognition: Proceedings of the 29th DAGM Symposium. Lecture Notes in Computer Science: Vol. 4713 (pp. 547-557). Heidelberg: Springer 10.1007/978-3-540-74936-3_55

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Similarity measure is one of the main factors that affect the accuracy of intensity-based 2D/3D registration of X-ray fluoroscopy to CT images. Information theory has been used to derive similarity measure for image registration leading to the introduction of mutual information, an accurate similarity measure for multi-modal and mono-modal image registration tasks. However, it is known that the standard mutual information measure only takes intensity values into account without considering spatial information and its robustness is questionable. Previous attempt to incorporate spatial information into mutual information either requires computing the entropy of higher dimensional probability distributions, or is not robust to outliers. In this paper, we show how to incorporate spatial information into mutual information without suffering from these problems. Using a variational approximation derived from the Kullback-Leibler bound, spatial information can be effectively incorporated into mutual information via energy minimization. The resulting similarity measure has a least-squares form and can be effectively minimized by a multi-resolution Levenberg-Marquardt optimizer. Experimental results are presented on datasets of two applications: (a) intra-operative patient pose estimation from a few (e.g. 2) calibrated fluoroscopic images, and (b) post-operative cup alignment estimation from single X-ray radiograph with gonadal shielding.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB [discontinued]

UniBE Contributor:

Zheng, Guoyan

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health

ISSN:

0302-9743

ISBN:

978-3-540-74936-3

Series:

Lecture Notes in Computer Science

Publisher:

Springer

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:57

Last Modified:

10 Aug 2015 11:02

Publisher DOI:

10.1007/978-3-540-74936-3_55

Web of Science ID:

000249745000055

BORIS DOI:

10.7892/boris.24210

URI:

https://boris.unibe.ch/id/eprint/24210 (FactScience: 47462)

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