A Hierarchical Bayesian OSL Algorithm for Positron Emission Tomography Statistical Image Reconstruction
碩士 === 國立清華大學 === 統計學研究所 === 101 === Positron Emission Tomography (PET) is one of the most important techniques for medical diagnosis. The statistical methods are needed in image reconstruction for PET. In this dissertation we develop a new approach to the reconstruction of the image. We use hierarc...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/15572653420768612919 |
| Summary: | 碩士 === 國立清華大學 === 統計學研究所 === 101 === Positron Emission Tomography (PET) is one of the most important techniques for
medical diagnosis. The statistical methods are needed in image reconstruction for
PET. In this dissertation we develop a new approach to the reconstruction of the
image. We use hierarchical Bayesian model to describe how the observations are
obtained and apply a modied EM-type approach, the one-step-late algorithm, to
calculate the maximum likelihood estimate for the emission intensity at each pixel.
This method take care of both smoothness and edge eects of the image simulta-
neously. Finally the performance of this method is demonstrated and compared
with other methods by computer simulations.
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