Paper Info
Title
Accelerating simultaneous algebraic reconstruction technique with motion compensation using CUDA-enabled GPU.
Abstract
To accelerate the simultaneous algebraic reconstruction technique (SART) with motion compensation for speedy and quality computed tomography reconstruction by exploiting CUDA-enabled GPU.Two core techniques are proposed to fit SART into the CUDA architecture: (1) a ray-driven projection along with hardware trilinear interpolation, and (2) a voxel-driven back-projection that can avoid redundant computation by combining CUDA shared memory. We utilize the independence of each ray and voxel on both techniques to design CUDA kernel to represent a ray in the projection and a voxel in the back-projection respectively. Thus, significant parallelization and performance boost can be achieved. For motion compensation, we rectify each ray's direction during the projection and back-projection stages based on a known motion vector field.Extensive experiments demonstrate the proposed techniques can provide faster reconstruction without compromising image quality. The process rate is nearly 100 projections s (-1), and it is about 150 times faster than a CPU-based SART. The reconstructed image is compared against ground truth visually and quantitatively by peak signal-to-noise ratio (PSNR) and line profiles. We further evaluate the reconstruction quality using quantitative metrics such as signal-to-noise ratio (SNR) and mean-square-error (MSE). All these reveal that satisfactory results are achieved. The effects of major parameters such as ray sampling interval and relaxation parameter are also investigated by a series of experiments. A simulated dataset is used for testing the effectiveness of our motion compensation technique. The results demonstrate our reconstructed volume can eliminate undesirable artifacts like blurring.Our proposed method has potential to realize instantaneous presentation of 3D CT volume to physicians once the projection data are acquired.
Year
DOI
Venue
2011
10.1007/s11548-010-0499-3
Int. J. Computer Assisted Radiology and Surgery
Keywords
Field
DocType
simultaneous algebraic reconstruction technique · gpu-accelerated sart · tomography reconstruction · motion compensation for tomography reconstruction · cuda-enabled gpu acceleration,mean square error,shared memory,signal to noise ratio,image quality,peak signal to noise ratio,computed tomography,ground truth
Iterative reconstruction,Computer vision,Simultaneous Algebraic Reconstruction Technique,Computer graphics (images),CUDA,Computer science,Motion compensation,Artificial intelligence,Computed tomography
Journal
Volume
Issue
ISSN
6
2
1861-6429
Citations 
PageRank 
References 
8
0.65
7
Authors
6
Name
Order
Citations
PageRank
Wai-Man Pang125022.20
Jing Qin2110995.43
Yuqiang Lu3121.23
Yongming Xie4397.28
Chee-Kong Chui524538.34
Pheng-Ann Heng63565280.98