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We develop a novel simultaneous reconstruction and registration algorithm for limited view transmission tomography. We derive a cost function using Bayesian probability theory, and propose a similarity metric based on the explicit modeling of the joint histogram as a sum of bivariate clusters. The resulting algorithm shows a robust mitigation of the data insufficiency problem in limited view tomography. To our knowledge, our work represents the first attempt to incorporate non-registered, multimodal anatomical priors into limited view transmission tomography by using joint histogram based similarity measures.

Original publication

DOI

10.1109/IEMBS.2009.5332591

Type

Journal article

Journal

Conf Proc IEEE Eng Med Biol Soc

Publication Date

2009

Volume

2009

Pages

5733 - 5736

Keywords

Algorithms, Artificial Intelligence, Cluster Analysis, Image Enhancement, Image Interpretation, Computer-Assisted, Pattern Recognition, Automated, Phantoms, Imaging, Reproducibility of Results, Sensitivity and Specificity, Signal Processing, Computer-Assisted, Subtraction Technique, Tomography, X-Ray