| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2014: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2013: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
|
|---|
| Outline of Final Research Achievements |
In this research, we apply a Bayes approach for medical image reconstruction problem. We develop several reconstruction algorithm, from theoretical and practical viewpoints. From the theoretical viewpoint, we solve a image reconstruction problem under the Poisson observation process with a Gaussian Markov random field prior. Also from the practical viewpoint, we apply our Bayes approach to reconstruct the positron emission tomography (PET) for the real device. As the result, we confirm the Bayesian approach is effective when we construct the model based on the fact. On that basis, we should consider several approximation for the effective calculation. The more difficult problem is to assume shape of the prior. Deciding the prior model is the our future work.
|
