NDLI: Accelerating the reconstruction of magnetic resonance imaging by three-dimensional dual-dictionary learning using CUDA

Content Provider	IEEE Xplore Digital Library
Author	Jiansen Li Jianqi Sun Ying Song Yanran Xu Jun Zhao
Copyright Year	2014
Description	Author affiliation: Sch. of Biomed. Eng., Shanghai Jiao Tong Univ., Shanghai, China (Jiansen Li; Jianqi Sun; Ying Song; Yanran Xu; Jun Zhao)
Abstract	An effective way to improve the data acquisition speed of magnetic resonance imaging (MRI) is using under-sampled k-space data, and dictionary learning method can be used to maintain the reconstruction quality. Three-dimensional dictionary trains the atoms in dictionary in the form of blocks, which can utilize the spatial correlation among slices. Dual-dictionary learning method includes a low-resolution dictionary and a high-resolution dictionary, for sparse coding and image updating respectively. However, the amount of data is huge for three-dimensional reconstruction, especially when the number of slices is large. Thus, the procedure is time-consuming. In this paper, we first utilize the NVIDIA Corporation's compute unified device architecture (CUDA) programming model to design the parallel algorithms on graphics processing unit (GPU) to accelerate the reconstruction procedure. The main optimizations operate in the dictionary learning algorithm and the image updating part, such as the orthogonal matching pursuit (OMP) algorithm and the k-singular value decomposition (K-SVD) algorithm. Then we develop another version of CUDA code with algorithmic optimization. Experimental results show that more than 324 times of speedup is achieved compared with the CPU-only codes when the number of MRI slices is 24.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	2412
Ending Page	2415
File Size	1759733
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6944108
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Graphics processing units Dictionaries Image reconstruction Matching pursuit algorithms Acceleration Magnetic resonance imaging Instruction sets
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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