Accelerating image registration of MRI by GPU-based parallel computation

作者：Huang Teng Yi^*; Tang Yu Wei; Ju Shiun Ying

来源：Magnetic Resonance Imaging, 2011, 29(5): 712-716.

DOI：10.1016/j.mri.2011.02.027

• Image registration
• GPU
• Parallel computing

Automatic image registration for MRI applications generally requires many iteration loops and is, therefore, a time-consuming task. This drawback prolongs data analysis and delays the workflow of clinical routines. Recent advances in the massively parallel computation of graphic processing units (GPUs) may be a solution to this problem. This study proposes a method to accelerate registration calculations, especially for the popular statistical parametric mapping (SPM) system. This study reimplemented the image registration of SPM system to achieve an approximately 14-fold increase in speed in registering single-modality intrasubject data sets. The proposed program is fully compatible with SPM, allowing the user to simply replace the original image registration library of SPM to gain the benefit of the computation power provided by commodity graphic processors. In conclusion, the GPU computation method is a practical way to accelerate automatic image registration. This technology promises a broader scope of application in the field of image registration.

• 出版日期2011-6