Does the beta regularization parameter of bayesian penalized likelihood reconstruction always affect the quantification accuracy and image quality of positron emission tomography computed tomography?-Reference-Cited by-同舟云学术

Does the beta regularization parameter of bayesian penalized likelihood reconstruction always affect the quantification accuracy and image quality of positron emission tomography computed tomography?

Published:2021-03 Issue:3 Volume:22 Page:224-233
ISSN:1526-9914
Container-title:Journal of Applied Clinical Medical Physics
language:en
Short-container-title:J Appl Clin Med Phys

Author:

Wu Zhifang¹²,Guo Binwei¹,Huang Bin¹,Zhao Bin¹,Qin Zhixing¹,Hao Xinzhong¹,Liang Meng¹,Xie Jun³,Li Sijin¹²

Affiliation:

1. Department of Nuclear Medicine First Hospital of Shanxi Medical University Taiyuan Shanxi P.R. China

2. Molecular Imaging Precision Medical Collaborative Innovation Center Shanxi Medical University Taiyuan Shanxi P.R. China

3. Department of Biochemistry and Molecular Biology Shanxi Medical University Taiyuan Shanxi P.R. China

Funder

Shanxi Scholarship Council of China

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging,Instrumentation,Radiation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acm2.13129

Reference42 articles.

1. Importance of Quantification for the Analysis of PET Data in Oncology: Review of Current Methods and Trends for the Future

2. Towards enhanced PET quantification in clinical oncology

3. Tumor Quantification in Clinical Positron Emission Tomography

4. Novel Quantitative PET Techniques for Clinical Decision Support in Oncology

5. Analysis of Emission Tomographic Scan Data: Limitations Imposed by Resolution and Background

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