Image quality improvement of microPET images by an accelerated reconstruction algorithm and filters
碩士 === 國立陽明大學 === 放射醫學科學研究所 === 95 === Abstract Introduction: PET can provide in vivo, quantitative and such as maximum likelihood expectation maximization (MLEM) algorithm are rapidly becoming the standard for image reconstruction in emission computed tomography. Because a large number of iteratio...
Main Authors: | Chun-Cheng Lin, 林駿丞 |
---|---|
Other Authors: | Jyh-Cheng Chen |
Format: | Others |
Language: | zh-TW |
Published: |
2007
|
Online Access: | http://ndltd.ncl.edu.tw/handle/36340911317664951757 |
Similar Items
-
Assessment of MicroPET Image Quality Based on Reconstruction Methods and Post-Filtering
by: Hyeon-Sik Kim, et al.
Published: (2021-09-01) -
Development of an Image Localization System for microPET and High resolution MR imaging studies
by: Ming-Huang Lin, et al.
Published: (2005) -
Statistical Applications of Maximized Likelihood Estimates with the Expectation-Maximization Algorithms for Reconstruction and Segmentation of MicroPET and Spotted Microarray Images
by: Tai Been Chen, et al.
Published: (2007) -
An Optimized MicroPET Imaging Method for the Distribution and Synergies of Natural Products
by: Qingxin Cui, et al.
Published: (2018-08-01) -
Segmentation of Dynamic MicroPET Images by K-mean and Mixture Methods
by: Hung-Yuan Chiang, et al.
Published: (2004)