IEEE Transactions on Radiation and Plasma Medical Sciences最新文献

IEEE Transactions on Radiation and Plasma Medical Sciences Information for Authors

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IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-02-04 DOI: 10.1109/TRPMS.2025.3530624

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IEEE Transactions on Radiation and Plasma Medical Sciences Publication Information

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IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-02-04 DOI: 10.1109/TRPMS.2025.3530622

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IEEE Transactions on Radiation and Plasma Medical Sciences Information for Authors IEEE辐射与等离子体医学科学汇刊作者信息

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IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-01-02 DOI: 10.1109/TRPMS.2024.3519397

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IEEE Transactions on Radiation and Plasma Medical Sciences Publication Information IEEE辐射与等离子体医学科学汇刊信息

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IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-01-02 DOI: 10.1109/TRPMS.2024.3519395

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2024 Index IEEE Transactions on Radiation and Plasma Medical Sciences Vol. 8 2024 Index IEEE Transactions on Radiation and Plasma Medical Sciences Vol.

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IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2024-11-25 DOI: 10.1109/TRPMS.2024.3483528

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IEEE Transactions on Radiation and Plasma Medical Sciences Publication Information 电气和电子工程师学会辐射与等离子体医学科学杂志》（IEEE Transactions on Radiation and Plasma Medical Sciences）出版信息

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IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2024-11-05 DOI: 10.1109/TRPMS.2024.3475531

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IEEE Transactions on Radiation and Plasma Medical Sciences Information for Authors 电气和电子工程师学会《辐射与等离子体医学科学杂志》作者须知

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IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2024-11-05 DOI: 10.1109/TRPMS.2024.3475533

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Toward a Second Generation of Metascintillators Using the Purcell Effect

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IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2024-10-03 DOI: 10.1109/TRPMS.2024.3471251

A. Shultzman;R. Schütz;Y. Kurman;N. Lahav;G. Dosovitskiy;C. Roques-Carmes;Y. Bekenstein;G. Konstantinou;R. Latella;L. Zhang;F. Loignon-Houle;A. J. Gonzalez;J. M. Benlloch;I. Kaminer;P. Lecoq

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PrideDiff: Physics-Regularized Generalized Diffusion Model for CT Reconstruction

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IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2024-10-01 DOI: 10.1109/TRPMS.2024.3471677

Zexin Lu;Qi Gao;Tao Wang;Ziyuan Yang;Zhiwen Wang;Hui Yu;Hu Chen;Jiliu Zhou;Hongming Shan;Yi Zhang

{"title":"PrideDiff: Physics-Regularized Generalized Diffusion Model for CT Reconstruction","authors":"Zexin Lu;Qi Gao;Tao Wang;Ziyuan Yang;Zhiwen Wang;Hui Yu;Hu Chen;Jiliu Zhou;Hongming Shan;Yi Zhang","doi":"10.1109/TRPMS.2024.3471677","DOIUrl":"https://doi.org/10.1109/TRPMS.2024.3471677","url":null,"abstract":"Achieving a lower radiation dose and a faster imaging speed is a pivotal objective of computed tomography (CT) reconstruction. However, these often come at the cost of compromised reconstruction quality. With the advent of deep learning, numerous CT reconstruction methods rooted in this field have significantly improved the reconstruction performance. Recently, diffusion models have further enhanced training stability and imaging quality for CT. However, many of these methods only focus on CT image domain features, ignoring the intrinsic physical information of the imaging process. Although compressive sensing-based iterative reconstruction algorithms utilize physical prior information, their intricate iterative process poses challenges in training, subsequently influencing their efficiency. Motivated by these observations, we introduce a novel physics-regularized generalized diffusion model for CT reconstruction (PrideDiff). On the one hand, our method further improves the quality of reconstructed images by fusing physics-regularized iterative reconstruction methods with diffusion models. On the other hand, we propose a prior extraction module embedded with temporal features, which effectively improves the performance of the iteration process. Extensive experimental results demonstrate that PrideDiff outperforms several state-of-the-art methods in low-dose and sparse-view CT reconstruction tasks on different datasets, with faster reconstruction speed. We further discuss the effectiveness of relevant components in PrideDiff and validate the stability of the iterative reconstruction process, followed by detailed analysis of computational cost and inference time.","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"9 2","pages":"157-168"},"PeriodicalIF":4.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10701005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Three-Gamma Imaging in Nuclear Medicine: A Review 核医学中的三伽马成像：综述

IF 4.6

IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2024-09-30 DOI: 10.1109/TRPMS.2024.3470836

Hideaki Tashima;Taiga Yamaya

{"title":"Three-Gamma Imaging in Nuclear Medicine: A Review","authors":"Hideaki Tashima;Taiga Yamaya","doi":"10.1109/TRPMS.2024.3470836","DOIUrl":"https://doi.org/10.1109/TRPMS.2024.3470836","url":null,"abstract":"Three-gamma imaging is attracting attention as a futuristic diagnostic imaging method that surpasses positron emission tomography (PET). Its conceptual key is using \u0000<inline-formula> <tex-math>$beta ^{+}$ </tex-math></inline-formula>\u0000-\u0000<inline-formula> <tex-math>$gamma $ </tex-math></inline-formula>\u0000 nuclides that simultaneously emit a prompt gamma ray with the positron decay. In this review, we have categorized the utilizations of prompt gamma rays into three categories: 1) multiple positron emitter imaging; 2) reconstruction-less positron emission imaging; and 3) positronium lifetime imaging. Multiple positron emitter imaging utilizes the prompt gamma ray as a trigger to discriminate from signals of pure positron emitters to enable simultaneous injection and imaging of two different radioisotopes. Reconstruction-less positron emission imaging combines PET and Compton imaging technologies to estimate the source position as almost a point for each triple coincidence event. Positronium lifetime imaging utilizes the prompt gamma ray as a starting signal to measure the time difference between positronium formation and annihilation for each triple coincidence event as its lifetime. This is because the positronium lifetime is affected by the surrounding microenvironment of electrons, it is expected to provide new information regarding biological conditions, such as the hypoxia state. In this review we introduce the principles of the three categories of three-gamma imaging methods, prototype development, and demonstration experiments.","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"8 8","pages":"853-866"},"PeriodicalIF":4.6,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10700810","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0