Cardiac CT artifact mitigation through decomposition-based image reconstruction

Zhuangli Liang; Synho Do; W. Clem Karl; Thomas Brady; Homer Pien

doi:10.1117/12.770436

18 March 2008 Cardiac CT artifact mitigation through decomposition-based image reconstruction

Zhuangli Liang, Synho Do, W. Clem Karl, Thomas Brady, Homer Pien

Proceedings Volume 6913, Medical Imaging 2008: Physics of Medical Imaging; 69131X (2008) https://doi.org/10.1117/12.770436
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

A common problem arising in medical imaging is the suppression of undesired image artifacts with the simultaneous preservation of salient clinical information. Often the proposed processing "cure" introduces its own artifacts in other parts of the image that confound reliable diagnosis. A canonical example is the suppression of artifacts from hyperdense objects, such as metal and calcium. In this paper we propose a new decomposition-based approach to the combined image formation and the suppression of localized image artifacts which is motivated by recent results on image inpainting. The approach, which we term Model-Based Algebraic Iteration (MBAI) processing, decomposes an image into a collection of homogeneous components, each of which can be reconstructed in the manner most appropriate to its underlying nature. Because each component is localized, the effects of processing on that component do not contaminate other areas of the image. Our specific motivation is the mitigation of artifacts in cardiac multi-detector computed tomography (MDCT) images. Recently, MDCT has offered the promise of a non-invasive alternative to invasive coronary angiography to evaluate coronary artery disease. An impediment preventing its utilization as a routine clinical replacement for angiography is the presence of image "blooming" artifacts due to the presence vascular calcium. We develop MBAI for the purpose of ameliorating artifacts in cardiac images and thus increase the applicability of MDCT for the evaluation of at-risk patient population. We demonstrate preliminary results in the reduction of the calcium blooming-effect in software simulation, phantom, ex-vivo, and in-vivo MDCT data.

Citation Download Citation

Zhuangli Liang, Synho Do, W. Clem Karl, Thomas Brady, and Homer Pien "Cardiac CT artifact mitigation through decomposition-based image reconstruction", Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 69131X (18 March 2008); https://doi.org/10.1117/12.770436

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