Document Type
Conference Paper
Publication Date
2020
DOI
10.1117/12.2550856
Publication Title
Medical Imaging 2020: Physics of Medical Imaging, Proceedings of SPIE Vol. 11312
Volume
11312
Pages
113120T
Conference Name
SPIE Medical Imaging, 15-20 February 2020, Houston, Texas
Abstract
Developing PET reconstruction algorithms with improved low-count capabilities may provide a timely and cost- effective means of reducing radiation dose in promising clinical applications such as immuno-PET that require long-lived radiotracers. For many PET clinics, the reconstruction protocol consists of postsmoothed ordered-sets expectation-maximization (OSEM) reconstruction, but penalized likelihood methods based on total-variation (TV) regularization could substantially reduce dose. We performed a task-based comparison of postsmoothed OSEM and higher-order TV (HOTV) reconstructions using simulated images of a contrast-detail phantom. An anthropomorphic visual-search model observer read the images in a location-known receiver operating characteristic (ROC) format. Acquisition counts, target uptake, and target size were study variables, and the OSEM postfiltering was task-optimized based on count level. A psychometric analysis of observer performance for the selected task found that the HOTV algorithm allowed a two-fold reduction in dose compared to the optimized OSEM algorithm.
Rights
Copyright 2020 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.
Original Publication Citation
Gifford, H., Schmidtlein, C. R., Krol, A., & Xu, Y. (2020). An assessment of PET dose reduction with penalized likelihood image reconstruction using a computationally efficient model observer, in Medical Imaging 2020: Physics of Medical Imaging, edited by Guang-Hong Chen, Hilde Bosmans, Proceedings of SPIE Vol. 11312 (SPIE, Bellingham, WA, 2020) 113120T. https://doi.org/10.1117/12.2550856
Repository Citation
Gifford, Howard C.; Ross Schmidtlein, C.; Krol, Andrzej; and Xu, Yuesheng, "An Assessment of PET Dose Reduction with Penalized Likelihood Image Reconstruction Using a Computationally Efficient Model Observer" (2020). Mathematics & Statistics Faculty Publications. 272.
https://digitalcommons.odu.edu/mathstat_fac_pubs/272