IEEE Transactions on Radiation and Plasma Medical Sciences最新文献_第9页

Detector Characterization of a High-Resolution Ring for PET Imaging of Mice Heads With Sub-200-ps TOF 用低于 200 ps TOF 对小鼠头部进行 PET 成像的高分辨率环形探测器特性分析

IF 4.6

IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2024-07-23 DOI: 10.1109/TRPMS.2024.3432194

Celia Valladares;John Barrio;Neus Cucarella;Marta Freire;Luis F. Vidal;José M. Benlloch;Antonio J. González

{"title":"Detector Characterization of a High-Resolution Ring for PET Imaging of Mice Heads With Sub-200-ps TOF","authors":"Celia Valladares;John Barrio;Neus Cucarella;Marta Freire;Luis F. Vidal;José M. Benlloch;Antonio J. González","doi":"10.1109/TRPMS.2024.3432194","DOIUrl":"https://doi.org/10.1109/TRPMS.2024.3432194","url":null,"abstract":"Positron emission tomography (PET) stands out as a highly specific molecular imaging technique. However, its detection sensitivity remains a challenge. The implementation of time-of-flight (TOF) PET technology enhances sensitivity by precisely measuring the time lapse between the annihilation photons. Moreover, by characterizing scattered (Compton) events, the effective sensitivity of PET imaging might significantly be enhanced. In this work, we present the scatter subsystem of a 2 layers preclinical TOF-PET scanner for mice head imaging. The scatter subsystem is composed of eight identical modules based on analog silicon photomultipliers (SiPMs) coupled to crystal arrays of \u0000<inline-formula> <tex-math>$24times 24$ </tex-math></inline-formula>\u0000 LYSO pixels with 0.95 mm \u0000<inline-formula> <tex-math>$times 0$ </tex-math></inline-formula>\u0000.95 mm \u0000<inline-formula> <tex-math>$times $ </tex-math></inline-formula>\u0000 3 mm dimensions. The system has 29-mm bore and 50.8-mm axial length. An average CTR of \u0000<inline-formula> <tex-math>$192~pm ~1$ </tex-math></inline-formula>\u0000 ps was obtained for the whole subsystem at the photopeak energy range after energy and timing corrections, and CTR values as good as 155 ps were found for some individual pixels. The transit time spread at the SiPM level was also studied and corrected, achieving a mean value of 41 ps of maximum time difference at the sensor corners with respect to the center. Voronoi diagrams were implemented to correct for position decoding.","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"8 8","pages":"876-885"},"PeriodicalIF":4.6,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10606942","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587631","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

A Robust Multidomain Network for Short-Scanning Amyloid PET Image Restoration 短扫描淀粉样蛋白PET图像恢复的鲁棒多域网络

IF 4.6

IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2024-07-23 DOI: 10.1109/TRPMS.2024.3430298

Hyoung Suk Park;Young Jin Jeong;Kiwan Jeon

{"title":"A Robust Multidomain Network for Short-Scanning Amyloid PET Image Restoration","authors":"Hyoung Suk Park;Young Jin Jeong;Kiwan Jeon","doi":"10.1109/TRPMS.2024.3430298","DOIUrl":"https://doi.org/10.1109/TRPMS.2024.3430298","url":null,"abstract":"This study presents a deep-learning-based restoration method for low-quality amyloid positron emission tomography (PET) images acquired in a short period, which can be generalized across multiple domains. Each of these domains consists of low-quality amyloid PET images acquired in the same environment. Owing to variations in image characteristics, such as contrast, across different acquisition environments, the restoration performance of the deep-learning methods can significantly degrade when applied to PET images obtained from unseen domains (i.e., not seen in training). To address the difficulty, we introduce a mapping label and condition the network on this label. This enables the network that takes a low-quality amyloid PET image and the corresponding mapping label as inputs to effectively generate the desired high-quality amyloid PET image. We assign the mapping label as a one-hot vector for each domain and use pairs of PET images from short (2 min) and standard (20 min) scanning times for training. The network, trained with the mapping label, can efficiently restore low-quality amyloid PET images in unseen domains by estimating an unknown mapping label for the unseen domain. We demonstrate the effectiveness of the proposed method through quantitative and qualitative analyses on the several datasets.","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"9 1","pages":"57-68"},"PeriodicalIF":4.6,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142912502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effects of List-Mode-Based Intraframe Motion Correction in Dynamic Brain PET Imaging 基于列表模式的帧内运动校正在动态脑 PET 成像中的效果

IF 4.6

IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2024-07-22 DOI: 10.1109/TRPMS.2024.3432322

Amal Tiss;Yanis Chemli;Nicolas Guehl;Thibault Marin;Keith Johnson;Georges El Fakhri;Jinsong Ouyang

{"title":"Effects of List-Mode-Based Intraframe Motion Correction in Dynamic Brain PET Imaging","authors":"Amal Tiss;Yanis Chemli;Nicolas Guehl;Thibault Marin;Keith Johnson;Georges El Fakhri;Jinsong Ouyang","doi":"10.1109/TRPMS.2024.3432322","DOIUrl":"https://doi.org/10.1109/TRPMS.2024.3432322","url":null,"abstract":"Motion is unavoidable in dynamic [18F]-MK6240 positron emission tomography (PET) imaging, especially in Alzheimer’s disease (AD) research requiring long scan duration. To understand how motion correction affects quantitative analysis, we investigated two approaches: intra- and inter- frame motion correction (II-MC), which corrects for both the interframe and intraframe motion, and interframe only motion correction (IO-MC), which only corrects for the interframe motion. These methods were applied to 83 scans from 34 subjects, and we calculated distribution volume ratios (DVRs) using the multilinear reference tissue model with the two parameters (MRTM2) in tau-rich brain regions. Most of the studies yielded similar DVR results for both II-MC and IO-MC. However, in one scan of an AD subject, the inferior temporal region showed 14% higher DVR with II-MC compared to IO-MC. This difference was reasonable given the AD diagnosis, although similar results were not observed in other regions. Although discrepancies between IO-MC and II-MC results were rare, they underscore the importance of incorporating intraframe motion correction for more accurate and dependable PET quantitation, particularly in the context of dynamic imaging. These findings suggest that while the overall impact of intraframe motion correction may be subtle, it can improve the reliability of longitudinal PET data, ultimately enhancing our understanding of tau protein distribution in AD pathology.","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"8 8","pages":"950-958"},"PeriodicalIF":4.6,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Image-to-Volume Deformable Registration by Learning Displacement Vector Fields 通过学习位移向量场实现图像到体积的可变形配准

IF 4.6

IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2024-07-18 DOI: 10.1109/TRPMS.2024.3430827

Ryuto Miura;Mitsuhiro Nakamura;Megumi Nakao

{"title":"Image-to-Volume Deformable Registration by Learning Displacement Vector Fields","authors":"Ryuto Miura;Mitsuhiro Nakamura;Megumi Nakao","doi":"10.1109/TRPMS.2024.3430827","DOIUrl":"https://doi.org/10.1109/TRPMS.2024.3430827","url":null,"abstract":"2-D/3-D image registration is a problem that solves the deformation and alignment of a pretreatment 3-D volume to a 2-D projection image, which is available for treatment support and biomedical analysis. 2-D/3-D image registration for abdominal organs is a complicated task because the abdominal organs deform significantly and their contours are not detected in 2-D X-ray images. In this study, we propose a supervised deep learning framework that achieves 2-D/3-D deformable image registration between the 3-D volume and a single-viewpoint 2-D projection image. The proposed method uses latent image features of the 2-D projection images to learn a transformation from the input image, which is a concatenation of the 2-D projection images and the 3-D volume, to a dense displacement vector field (DVF) that represents nonlinear and local organ displacements. The target DVFs are generated by registration between 3-D volumes, and the registration error with the estimated DVF is introduced as a loss function during training. We register 3D-computed tomography (CT) volumes to the digitally reconstructed radiographs generated from abdominal 4D-CT volumes of 35 cases. The experimental results show that the proposed method can reconstruct 3D-CT with a mean voxel-to-voxel error of 29.4 Hounsfield unit and a dice similarity coefficient of 89.2 % on average for the body, liver, stomach, duodenum, and kidney regions, which is a clinically acceptable accuracy. In addition, the average computation time for the registration process by the proposed framework is 0.181 s, demonstrating real-time registration performance.","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"9 1","pages":"69-82"},"PeriodicalIF":4.6,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142912508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effect of Cold Atmospheric Plasma on Hyperglycemia and Immunity in the Spleen of STZ Diabetic Mice 低温常压血浆对STZ糖尿病小鼠高血糖及脾免疫的影响

IF 4.6

IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2024-07-10 DOI: 10.1109/TRPMS.2024.3422149

Sahar M. Gebril;Fakhr El-din M. Lashein;Mohamed Khalaf;Eslam El-Sabry AbuAmra;F. M. El-Hossary

{"title":"Effect of Cold Atmospheric Plasma on Hyperglycemia and Immunity in the Spleen of STZ Diabetic Mice","authors":"Sahar M. Gebril;Fakhr El-din M. Lashein;Mohamed Khalaf;Eslam El-Sabry AbuAmra;F. M. El-Hossary","doi":"10.1109/TRPMS.2024.3422149","DOIUrl":"https://doi.org/10.1109/TRPMS.2024.3422149","url":null,"abstract":"Diabetic hyperglycemia is a metabolic scenario that disturbs immunity and promotes inflammatory reactions. On the other hand, many biomedical applications benefit from cold atmospheric plasma (CAP). In this study, the effect of CAP treatment on a diabetic mice model was evaluated by examining splenic immune cells and inflammatory parameters that modulate diabetes-induced immune dysfunction. Twenty-four adult male BALB/c mice (25–30 g) were randomly divided into four groups: 1) negative control; 2) control treated by CAP; 3) streptozotocin (STZ)-injected diabetics (60 mg/kg animal weight); and 4) STZ-injected diabetics treated with direct CAP for 10 s daily for two months. Fasting blood glucose levels, antioxidant enzymes (catalase and glutathione reductase), spleen tissue histopathology, and Immunohistochemistry (active caspase 3, proliferating cell nuclear antigen, cluster of differentiation 68 for macrophages (CD68), and tumor necrosis factor \u0000<inline-formula> <tex-math>$alpha $ </tex-math></inline-formula>\u0000) were examined. Diabetic mice treated with CAP had improved spleen histological morphology, and significantly increased in antioxidant enzymes, white pulp diameter, lymphocyte density, and immune cell proliferation. Moreover, Mallory-stained collagen fibrosis, TNF\u0000<inline-formula> <tex-math>$alpha $ </tex-math></inline-formula>\u0000, CD68 positive macrophages and caspase 3 activated immune cells were significantly decreased. The antioxidant effect of RONS, produced by CAP, reduces hyperglycemia, reconstitutes splenic immune cells, and regulates inflammatory cells, Cytokines, and programmed cell death.","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"9 1","pages":"131-140"},"PeriodicalIF":4.6,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142912510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IRDNet: Iterative Relation-Based Dual-Domain Network via Metal Artifact Feature Guidance for CT Metal Artifact Reduction IRDNet：基于迭代关系的双域网络，通过金属伪影特征引导减少 CT 金属伪影

IF 4.6

IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2024-07-08 DOI: 10.1109/TRPMS.2024.3424941

Huamin Wang;Shuo Yang;Xiao Bai;Zhe Wang;Jiayi Wu;Yang Lv;Guohua Cao

{"title":"IRDNet: Iterative Relation-Based Dual-Domain Network via Metal Artifact Feature Guidance for CT Metal Artifact Reduction","authors":"Huamin Wang;Shuo Yang;Xiao Bai;Zhe Wang;Jiayi Wu;Yang Lv;Guohua Cao","doi":"10.1109/TRPMS.2024.3424941","DOIUrl":"https://doi.org/10.1109/TRPMS.2024.3424941","url":null,"abstract":"The metal artifacts in computed tomography (CT) images not only affect diagnosis and treatment but also present a classic nonlinear inverse problem in CT reconstruction. In this study, we propose an iterative relation-based dual-domain network (IRDNet) that utilizes metal artifact feature guidance to reduce such artifacts in CT images. To the best of our knowledge, IRDNet leverages metal artifact features as guidance of the dual-domain network for the first time to reduce metal artifacts. Our framework incorporates artifact-corrupted and precorrected images (linear-interpolated images) as well as metal artifact features to effectively reduce metal artifacts for a high-quality prior CT image and corresponding prior sinogram. The prior image and prior sinogram are then iteratively recovered sinogram using the residual learning strategy and mitigate the artifacts of CT image with a metal-location guidance framework. We construct IRDNet in an unrolling manner to accurately optimize anatomical structures. Compared to the state-of-the-art algorithms, IRDNet consistently produces reasonable CT images with reduced metal artifacts, as evaluated both quantitatively and qualitatively across different-sized metal implant samples and different metal materials. It generalized different artifacts caused by metals of various sizes and materials and successfully recovered surrounding tissues. The experimental results demonstrate the potential of incorporating metal inherent features as priors in the dual-domain network for reducing metal artifacts.","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"8 8","pages":"959-972"},"PeriodicalIF":4.6,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10589441","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587517","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

Exploring Cell Type-Specific Efficacy of Plasma-Activated Medium (PAM) on Endometrial Cancer Using Patient-Specific 2-D and 3-D cell Culture Systems (2024) 利用患者特异性的2-D和3-D细胞培养系统探索血浆活化培养基（PAM）对子宫内膜癌的细胞类型特异性疗效（2024）

IF 4.6

IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2024-07-08 DOI: 10.1109/TRPMS.2024.3421601

Eva Becker;Christina B. Walter;Juliane Scheid;Sara Y. Brucker;André Koch;Martin Weiss

{"title":"Exploring Cell Type-Specific Efficacy of Plasma-Activated Medium (PAM) on Endometrial Cancer Using Patient-Specific 2-D and 3-D cell Culture Systems (2024)","authors":"Eva Becker;Christina B. Walter;Juliane Scheid;Sara Y. Brucker;André Koch;Martin Weiss","doi":"10.1109/TRPMS.2024.3421601","DOIUrl":"https://doi.org/10.1109/TRPMS.2024.3421601","url":null,"abstract":"Endometrial cancer (EC) is the most common tumor of the female reproductive organs in industrialized nations and an increasingly frequent disease in premenopausal women, which necessitates the development of fertility-preserving alternative treatment modalities without radical hysterectomy. In this study, we progressively elucidate the cancer specific the impact of plasma activated media (PAM) on EC, transitioning from conventional single cell models to more clinically relevant patient-derived 3-D organoid systems of different tumor gradings compared to healthy endometrial tissue, emphasizing a novel experimental approach. Significantly, we demonstrate an increasing impact of PAM on patient-derived high-grade EC organoids accompanied with a dose-dependent rise in oxidative stress levels, contrasting with no alterations in healthy endometrial tissue. These findings collectively suggest that the application of plasma-activated liquid holds promise for expanding fertility-preserving therapies for endometrial carcinoma and contributing to future disease control. In conclusion, this research pioneers a patient-specific and stepwise investigation into the therapeutic potential of PAM on EC and contributes to the evolving landscape of personalized cancer therapies, offering promising avenues for future clinical applications.","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"9 2","pages":"259-268"},"PeriodicalIF":4.6,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10589343","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106265","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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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

IF 4.6

IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2024-07-03 DOI: 10.1109/TRPMS.2024.3405098

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Member Get-A-Member (MGM) Program 会员注册（MGM）计划

IF 4.6

IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2024-07-03 DOI: 10.1109/TRPMS.2024.3421769

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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

IF 4.6

IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2024-07-03 DOI: 10.1109/TRPMS.2024.3405100

引用次数: 0