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Article

Optimization of Q.Clear reconstruction for dynamic 18F PET imaging

2023-06-23

Abstract excerpt

<title>Abstract</title> <p>Background Q.Clear, a Bayesian penalized likelihood reconstruction algorithm, has shown high potential in improving quantitation accuracy in PET systems. The Q.Clear algorithm controls noise during the iterative reconstruction through a β penalization factor. This study aimed to determine the optimal β-factor for accurate quantitation of dynamic PET scans. Methods A Flangeless Esser P...

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Literature Corpus work
b0f069af-68d5-5a10-a326-c38af2d92803
DOI
10.21203/rs.3.rs-3072176/v1
Open publication

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Optimization of Q.Clear reconstruction for dynamic 18F PET imagingDOI 10.21203/rs.3.rs-3072176/v1
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