Statistical Applications of Maximized Likelihood Estimates with the Expectation-Maximization Algorithms for Reconstruction and Segmentation of MicroPET and Spotted Microarray Images
博士 === 國立交通大學 === 統計學研究所 === 96 === Positron emission tomography (PET) can provide in vivo, quantitative and functional information for the diagnosis of functional diseases; however, PET image quality is highly dependent on a reconstruction algorithm. Iterative algorithms, such as the maximum likeli...
Main Authors: | Tai Been Chen, 陳泰賓 |
---|---|
Other Authors: | Henry Horng-Shing Lu |
Format: | Others |
Language: | en_US |
Published: |
2007
|
Online Access: | http://ndltd.ncl.edu.tw/handle/81464171405884648700 |
Similar Items
-
Singular value decomposition analysis of back projection operator of maximum likelihood expectation maximization PET image reconstruction
by: Somai Vencel, et al.
Published: (2018-03-01) -
Segmentation of Dynamic MicroPET Images by K-mean and Mixture Methods
by: Hung-Yuan Chiang, et al.
Published: (2004) -
Image quality improvement of microPET images by an accelerated reconstruction algorithm and filters
by: Chun-Cheng Lin, et al.
Published: (2007) -
Assessment of MicroPET Image Quality Based on Reconstruction Methods and Post-Filtering
by: Hyeon-Sik Kim, et al.
Published: (2021-09-01) -
An adjoint for likelihood maximization
by: Toal, David J.J, et al.
Published: (2009)