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1.
Phys Med Biol ; 68(24)2023 Dec 11.
Article in English | MEDLINE | ID: mdl-37918026

ABSTRACT

Objective.In our previous work on image reconstruction for single-layer collimatorless scintigraphy, we developed the min-min weighted robust least squares (WRLS) optimization algorithm to address the challenge of reconstructing images when both the system matrix and the projection data are uncertain. Whereas the WRLS algorithm has been successful in two-dimensional (2D) reconstruction, expanding it to three-dimensional (3D) reconstruction is difficult since the WRLS optimization problem is neither smooth nor strongly-convex. To overcome these difficulties and achieve robust image reconstruction in the presence of system uncertainties and projection noise, we propose a generalized iterative method based on the maximum likelihood expectation maximization (MLEM) algorithm, hereinafter referred to as the Masked-MLEM algorithm.Approach.In the Masked-MLEM algorithm, only selected subsets ('masks') from the system matrix and the projection contribute to the image update to satisfy the constraints imposed by the system uncertainties. We validate the Masked-MLEM algorithm and compare it to the standard MLEM algorithm using experimental data obtained from both collimated and uncollimated imaging instruments, including parallel-hole collimated SPECT, 2D collimatorless scintigraphy, and 3D collimatorless tomography. Additionally, we conduct comprehensive Monte Carlo simulations for 3D collimatorless tomography to further validate the effectiveness of the Masked-MLEM algorithm in handling different levels of system uncertainties.Main results.The Masked-MLEM and standard MLEM reconstructions are similar in cases with negligible system uncertainties, whereas the Masked-MLEM algorithm outperforms the standard MLEM algorithm when the system matrix is an approximation. Importantly, the Masked-MLEM algorithm ensures reliable image reconstruction across varying levels of system uncertainties.Significance.With a good choice of system uncertainty and without requiring accurate knowledge of the actual system matrix, the Masked-MLEM algorithm yields more robust image reconstruction than the standard MLEM algorithm, effectively reducing the likelihood of erroneously reconstructing higher activities in regions without radioactive sources.


Subject(s)
Image Processing, Computer-Assisted , Motivation , Image Processing, Computer-Assisted/methods , Phantoms, Imaging , Tomography, Emission-Computed, Single-Photon/methods , Algorithms , Likelihood Functions
2.
Med Phys ; 50(10): 6454-6468, 2023 Oct.
Article in English | MEDLINE | ID: mdl-37672346

ABSTRACT

BACKGROUND: Targeted alpha-particle therapy (TAT) has great promise as a cancer treatment. Arguably the most promising TAT radionuclide that has been proposed is 225 Ac. The development of 225 Ac-based radiopharmaceuticals has been hampered due to the lack of effective means to study the daughter redistribution of these agents in small animals at the preclinical stage. PURPOSE: The ability to directly image the daughters, namely 221 Fr and 213 Bi, via their gamma-ray emissions would be a boon for preclinical studies. That said, conventional medical imaging modalities, including single photon emission computed tomography (SPECT) based on nonmultiplexed collimation, cannot be employed due to sensitivity limitations. METHODS: As an alternative, we propose the use of both coded aperture and Compton imaging with the former modality suited to the 218-keV gamma-ray emission of 221 Fr and the latter suited to the 440-keV gamma-ray emission of 213 Bi. RESULTS: This work includes coded aperture images of 221 Fr and Compton images of 213 Bi in tumor-bearing mice injected with 225 Ac-based radiopharmaceuticals. CONCLUSIONS: These results are the first demonstration of visualizing and quantifying the 225 Ac daughters in small animals through the application of coded aperture and Compton imaging.


Subject(s)
Radioisotopes , Radiopharmaceuticals , Animals , Mice , Tomography, Emission-Computed, Single-Photon/methods , Phantoms, Imaging
3.
Health Phys ; 120(3): 296-300, 2021 03 01.
Article in English | MEDLINE | ID: mdl-33350714

ABSTRACT

ABSTRACT: This paper provides a history of the radiation warning sign with a focus on the period from 1946 to 1948. It employs previously unpublished material from the University of California Radiation Laboratory's Health Chemistry Group, the memoirs of John Gifford, and an account by George Warlick. Also considered is an alternative version of the sign's origin described by Cyrill Orly.


Subject(s)
Location Directories and Signs , Radiation , History, 20th Century , Humans
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