| Budget Amount *help |
¥5,460,000 (Direct Cost: ¥4,200,000、Indirect Cost: ¥1,260,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2012: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Outline of Final Research Achievements |
A multi-scale sparsifying transform based on the Fresnel transform (FREBAS) is adopted in order to improve the quality of CS images. The experimental results demonstrate that by increasing the sparsity of the image in the FREBAS transform domain, curved features in MR images can be faithfully reconstructed. It was also revealed that proposed method is robust to the phases on the images due to the susceptibility or blood flow.
In addition, we examine to accelerate the CS reconstruction by using the Graphics Processing Unit (GPU) as a general purpose use. Experimental results show that GPU dramatically accelerates CS reconstruction and single image reconstruction was executed in 1.3 s which suggests the speedups of 9-times.
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