| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2013: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2012: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2011: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Research Abstract |
The reconstruction of a high-quality three-dimensional image from a low-resolution sinogram, which is a visual representation of the two-dimensional projection data obtained from computed axial tomography, is an important problem which arises in fields such as microscope and medical imaging. It is known that several artifacts originated from the inverse Radon transformation arise during typical reconstruction approaches. We have developed a Bayesian treatment of the super-resolution computed tomography problem. This approach is rendered tractable through the introduction of Gaussian processes. Results indicate a significant improvement over techniques based on the filtered back projection.
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