ArticleJournal of medical imaging (Bellingham, Wash.)2017
Evaluation of lesion detectability in positron emission tomography when using a convergent penalized likelihood image reconstruction method.
Article in Journal of medical imaging (Bellingham, Wash.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- A virtual clinical trial comparing static versus dynamic PET imaging in measuring response to breast cancer therapy.Physics in medicine and biology · 2017Trial
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- Consistent performance between medical experts and non-expert readers in forced-choice lesion-detection tasks with PET images.Medical physics · 2025Article
- Innovations in clinical PET image reconstruction: advances in Bayesian penalized likelihood algorithm and deep learning.Annals of nuclear medicine · 2025Review
- Characterization of artificial intelligence performance for lesion detection using synthetic lesions in PET imaging.Medical physics · 2025Article
- Toward widespread use of virtual trials in medical imaging innovation and regulatory science.Medical physics · 2024Review
- Assessment of lesion insertion tool in pelvis PET/MR data with applications to attenuation correction method development.Journal of applied clinical medical physics · 2024Article
- A deep learning anthropomorphic model observer for a detection task in PET.Medical physics · 2024Article
- Insertion of synthetic lesions on patient data: a method for evaluating clinical performance differences between PET systems.EJNMMI physics · 2024Article
- Impact of γ factor in the penalty function of Bayesian penalized likelihood reconstruction (Q.Clear) to achieve high-resolution PET images.EJNMMI physics · 2023Article
- High-quality PET image synthesis from ultra-low-dose PET/MRI using bi-task deep learning.Quantitative imaging in medicine and surgery · 2022Article
- Evaluation of a method based on synthetic data inserted into raw data prior to reconstruction for the assessment of PET scanners.EJNMMI physics · 2022Article
- Evaluation of attenuation correction in PET/MRI with synthetic lesion insertion.Journal of medical imaging (Bellingham, Wash.) · 2021Article
- Post-reconstruction enhancement of [EJNMMI research · 2021Article
- Physical characteristics ofAmerican journal of nuclear medicine and molecular imaging · 2021Article
- Optimization of a Bayesian penalized likelihood algorithm (Q.Clear) forEJNMMI physics · 2020Article
- Machine learning in quantitative PET: A review of attenuation correction and low-count image reconstruction methods.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2020Review
- Virtual clinical trials in medical imaging: a review.Journal of medical imaging (Bellingham, Wash.) · 2020Review
- Evaluation of block-sequential regularized expectation maximization reconstruction ofEJNMMI physics · 2020Article
- Optimization of [EJNMMI physics · 2020Article
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6 authors.
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Abstract
We have previously developed a convergent penalized likelihood (PL) image reconstruction algorithm using the relative difference prior (RDP) and showed that it achieves more accurate lesion quantitation compared to ordered subsets expectation maximization (OSEM). We evaluated the detectability of low-contrast liver and lung lesions using the PL-RDP algorithm compared to OSEM. We performed a two-alternative forced choice study using a channelized Hotelling observer model that was previously validated against human observers. Lesion detectability showed a stronger dependence on lesion size for PL-RDP than OSEM. Lesion detectability was improved using time-of-flight (TOF) reconstruction, with greater benefit for the liver compared to the lung and with increasing benefit for decreasing lesion size and contrast. PL detectability was statistically significantly higher than OSEM for 20 mm liver lesions when contrast was [Formula: see text] ([Formula: see text]), and TOF PL detectability was statistically significantly higher than TOF OSEM for 15 and 20 mm liver lesions with contrast [Formula: see text] and [Formula: see text], respectively. For all other cases, there was no statistically significant difference between PL and OSEM ([Formula: see text]). For the range of studied lesion properties, lesion detectability using PL-RDP was equivalent or improved compared to using OSEM.
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