Effect of a Bayesian Penalized Likelihood PET Reconstruction Compared With Ordered Subset Expectation Maximization on Clinical Image Quality Over a Wide Range of Patient Weights-Reference-Cited by-同舟云学术

Effect of a Bayesian Penalized Likelihood PET Reconstruction Compared With Ordered Subset Expectation Maximization on Clinical Image Quality Over a Wide Range of Patient Weights

Published:2018-01 Issue:1 Volume:210 Page:153-157
ISSN:0361-803X
Container-title:American Journal of Roentgenology
language:en
Short-container-title:American Journal of Roentgenology

Author:

Chilcott Anna K.¹²,Bradley Kevin M.³,McGowan Daniel R.¹⁴

Affiliation:

1. Radiation Physics and Protection, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 7LE, United Kingdom.

2. Department of Nuclear Medicine, Royal Surrey County Hospital NHS Foundation Trust, Guildford, United Kingdom.

3. Department of Radiology, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.

4. Department of Oncology, University of Oxford, Oxford, United Kingdom.

Publisher

American Roentgen Ray Society

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://www.ajronline.org/doi/pdf/10.2214/AJR.17.18060

Reference18 articles.

1. Phantom and Clinical Evaluation of the Bayesian Penalized Likelihood Reconstruction Algorithm Q.Clear on an LYSO PET/CT System

2. Accurate and consistent lesion quantitation with clinically acceptable penalized likelihood images

3. Globally convergent image reconstruction for emission tomography using relaxed ordered subsets algorithms

4. Novel penalised likelihood reconstruction of PET in the assessment of histologically verified small pulmonary nodules

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