GPU-accelerated metal artifact reduction (MAR) in FD-CT

M. Beister; D. Prell; Y. Kyriakou; W. A. Kalender

doi:10.1117/12.844239

22 March 2010 GPU-accelerated metal artifact reduction (MAR) in FD-CT

M. Beister, D. Prell, Y. Kyriakou, W. A. Kalender

Proceedings Volume 7622, Medical Imaging 2010: Physics of Medical Imaging; 76223D (2010) https://doi.org/10.1117/12.844239
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

Metallic implants are responsible for various artifacts in flat-detector computed tomography visible as streaks and dark areas in the reconstructed volumetric images. In this paper a novel method for a fast reduction of these metal artifacts is presented using a three-step correction procedure to approximate the missing parts of the raw data. In addition to image quality aspects, this paper deals with the problem of high correction latencies by proposing a reconstruction and correction framework, that utilizes the massive computational power of graphics processing units (GPUs). An initial volume is reconstructed, followed by a 3-dimensional metal voxel segmentation algorithm. These metal voxels allow us to identify metal-influenced detector elements by using a simplified geometric forward projection. Consequently, these areas are corrected using a 3D interpolation scheme in the raw data domain, followed by a second reconstruction. This volume is then segmented into three materials with respect to bone structures using a threshold-based algorithm. A forward projection of the obtained tissueclass model substitutes missing or corrupted attenuation values for each detector element affected by metal and is followed by a final reconstruction. The entire process including the initial reconstruction, takes less than a minute (5123 volume with 496 projections of size 1240x960) and offers significant improvements of image quality. The method was evaluated with data from two FD-CT C-arm systems (Artis Zee and Artis Zeego, Siemens Healthcare, Forchheim, Germany).

Citation Download Citation

M. Beister, D. Prell, Y. Kyriakou, and W. A. Kalender "GPU-accelerated metal artifact reduction (MAR) in FD-CT", Proc. SPIE 7622, Medical Imaging 2010: Physics of Medical Imaging, 76223D (22 March 2010); https://doi.org/10.1117/12.844239

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