Limited angle C-arm tomosynthesis reconstruction algorithms

Nuhad A. Y. Malalla; Shiyu Xu; Ying Chen

doi:10.1117/12.2081699

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18 March 2015 Limited angle C-arm tomosynthesis reconstruction algorithms

Nuhad A. Y. Malalla, Shiyu Xu, Ying Chen

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Proceedings Volume 9412, Medical Imaging 2015: Physics of Medical Imaging; 94123U (2015) https://doi.org/10.1117/12.2081699
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

In this paper, C-arm tomosynthesis with digital detector was investigated as a novel three dimensional (3D) imaging technique. Digital tomosythses is an imaging technique to provide 3D information of the object by reconstructing slices passing through the object, based on a series of angular projection views with respect to the object. C-arm tomosynthesis provides two dimensional (2D) X-ray projection images with rotation (∓20 angular range) of both X-ray source and detector. In this paper, four representative reconstruction algorithms including point by point back projection (BP), filtered back projection (FBP), simultaneous algebraic reconstruction technique (SART) and maximum likelihood expectation maximization (MLEM) were investigated. Dataset of 25 projection views of 3D spherical object that located at center of C-arm imaging space was simulated from 25 angular locations over a total view angle of 40 degrees. With reconstructed images, 3D mesh plot and 2D line profile of normalized pixel intensities on focus reconstruction plane crossing the center of the object were studied with each reconstruction algorithm. Results demonstrated the capability to generate 3D information from limited angle C-arm tomosynthesis. Since C-arm tomosynthesis is relatively compact, portable and can avoid moving patients, it has been investigated for different clinical applications ranging from tumor surgery to interventional radiology. It is very important to evaluate C-arm tomosynthesis for valuable applications.

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Nuhad A. Y. Malalla, Shiyu Xu, and Ying Chen "Limited angle C-arm tomosynthesis reconstruction algorithms", Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94123U (18 March 2015); https://doi.org/10.1117/12.2081699

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