Enhanced spatial resolution in cone beam X-ray luminescence computed tomography using primal-dual Newton conjugate gradient method

Peng Gao; Junyan Rong; Tianshuai Liu; Hongbing Lu

doi:10.1117/12.2534880

28 May 2019 Enhanced spatial resolution in cone beam X-ray luminescence computed tomography using primal-dual Newton conjugate gradient method

Peng Gao, Junyan Rong, Tianshuai Liu, Hongbing Lu

Author Affiliations +

Proceedings Volume 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine; 110722J (2019) https://doi.org/10.1117/12.2534880
Event: Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019, Philadelphia, United States

Abstract

Cone beam X-ray luminescence computed tomography (CB-XLCT) is a novel dual-model imaging technique which opens new possibilities to perform molecular imaging with X-ray. However, the spatial resolution of CB-XLCT is low due the ill-posedness of the inverse problem. Considering the sparse distribution characteristics of the nanophosphors in imaging object, in this paper we proposed a compressive sensing based reconstruction algorithm by using the preconditioned primal-dual newton conjugate gradient (pdNCG) method. Imaging experiments were performed on a physical phantom by the custom-made CB-XLCT. The reconstruction results demonstrate that two adjacent targets with an edge-to-edge distance of 1 mm can be effectively resolved.

Citation Download Citation

Peng Gao, Junyan Rong, Tianshuai Liu, and Hongbing Lu "Enhanced spatial resolution in cone beam X-ray luminescence computed tomography using primal-dual Newton conjugate gradient method", Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 110722J (28 May 2019); https://doi.org/10.1117/12.2534880

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