TY - JOUR
AU - Xie, Yaoqin
AB - yq.xie@siat.ac.cn Shenzhen Institute Background: With the introduction of Flat Panel Detector technology, cone-beam of Advanced Technology, CT (CBCT ) has become a novel image modality, and widely applied in clinical prac- Chinese Academy of Sciences, Shenzhen, China tices. C-arm mounted CBCT has shown extra suitability in image guided interventional Full list of author information surgeries. During practice, how to acquire high resolution and high quality 3D images is available at the end of the with the real time requirement of clinical applications remain challenging. article Methods: In this paper, we propose a GPU based accelerated method for fast C-arm CBCT 3D image reconstructions. A filtered back projection method is optimized and implemented with GPU parallel acceleration technique. A distributed system is designed to make full use of the image acquisition consumption to hide the recon- struction delay to further improve system performance. Results: With the acceleration both in algorithm and system design, we show that our method significantly increases system efficiency. The optimized GPU accelerated FDK algorithm improves the reconstruction efficiency. The system performance is further enhanced with the proposed system design by 26% and reconstruction delay is accelerated by 2.1 times when 90 frames of projections are used. 
TI - GPU based parallel acceleration for fast C-arm cone-beam CT reconstruction
JO - BioMedical Engineering OnLine
DO - 10.1186/s12938-018-0506-4
DA - 2018-06-05
UR - https://www.deepdyve.com/lp/springer-journals/gpu-based-parallel-acceleration-for-fast-c-arm-cone-beam-ct-y0Ensde70T
SP - 1
EP - 14
VL - 17
IS - 1
DP - DeepDyve
ER -