IEEE Transactions on Radiation and Plasma Medical Sciences最新文献

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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
IF 3.5
IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-09-05 DOI: 10.1109/TRPMS.2025.3599622
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引用次数: 0
>Member Get-a-Member (MGM) Program >米高梅会员入会计划
IF 3.5
IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-09-05 DOI: 10.1109/TRPMS.2025.3600231
{"title":">Member Get-a-Member (MGM) Program","authors":"","doi":"10.1109/TRPMS.2025.3600231","DOIUrl":"https://doi.org/10.1109/TRPMS.2025.3600231","url":null,"abstract":"","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"9 7","pages":"979-979"},"PeriodicalIF":3.5,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11152382","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998089","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
IEEE DataPort IEEE DataPort
IF 3.5
IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-09-05 DOI: 10.1109/TRPMS.2025.3600229
{"title":"IEEE DataPort","authors":"","doi":"10.1109/TRPMS.2025.3600229","DOIUrl":"https://doi.org/10.1109/TRPMS.2025.3600229","url":null,"abstract":"","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"9 7","pages":"978-978"},"PeriodicalIF":3.5,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11152383","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998088","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
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
IF 3.5
IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-09-05 DOI: 10.1109/TRPMS.2025.3599624
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引用次数: 0
Personalized MR-Informed Diffusion Models for 3-D PET Image Reconstruction 个性化磁共振信息扩散模型用于三维PET图像重建。
IF 3.5
IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-08-25 DOI: 10.1109/TRPMS.2025.3602262
George Webber;Alexander Hammers;Andrew P. King;Andrew J. Reader
{"title":"Personalized MR-Informed Diffusion Models for 3-D PET Image Reconstruction","authors":"George Webber;Alexander Hammers;Andrew P. King;Andrew J. Reader","doi":"10.1109/TRPMS.2025.3602262","DOIUrl":"10.1109/TRPMS.2025.3602262","url":null,"abstract":"Recent work has shown improved lesion detectability and flexibility to reconstruction hyperparameters (e.g., scanner geometry or dose level) when positron emission tomography (PET) images are reconstructed by leveraging pretrained diffusion models. Such methods train a diffusion model (without sinogram data) on high-quality, but still noisy, PET images. In this work, we propose a simple method for generating subject-specific PET images from a dataset of multisubject PET-magnetic resonance imaging (MR) scans, synthesizing “pseudo-PET” images by transforming between different patients’ anatomy using image registration. The images we synthesize retain information from the subject’s MR scan, leading to higher resolution and the retention of anatomical features compared to the original set of PET images. With simulated and real [18F]FDG datasets, we show that pretraining a personalized diffusion model with subject-specific “pseudo-PET” images improves reconstruction accuracy with low-count data. In particular, the method shows promise in combining information from a guidance MR scan without overly imposing anatomical features, demonstrating an improved tradeoff between reconstructing PET-unique image features versus features present in both PET and MR. We believe this approach for generating and utilizing synthetic data has further applications to medical imaging tasks, particularly because patient-specific PET images can be generated without resorting to generative deep learning or large training datasets.","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"10 3","pages":"333-343"},"PeriodicalIF":3.5,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145543068","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
Multimodal Radiomics Based on Magnetic Resonance Imaging and Mammography for Axillary Lymph Node Metastasis Prediction in Clinically Node-Negative Breast Cancer Patients 基于磁共振成像和乳腺x线摄影的多模态放射组学对临床淋巴结阴性乳腺癌患者腋窝淋巴结转移的预测
IF 3.5
IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-08-11 DOI: 10.1109/TRPMS.2025.3597718
Wichasa Sukumwattana;Ruchira Chirachamnienkal;Varachaya Sawaddeemongkhon;Jirarat Jirarayapong;Sararas Khongwirotphan;Sira Sriswasdi;Somchanin Pipatpajong;Yothin Rakvongthai
{"title":"Multimodal Radiomics Based on Magnetic Resonance Imaging and Mammography for Axillary Lymph Node Metastasis Prediction in Clinically Node-Negative Breast Cancer Patients","authors":"Wichasa Sukumwattana;Ruchira Chirachamnienkal;Varachaya Sawaddeemongkhon;Jirarat Jirarayapong;Sararas Khongwirotphan;Sira Sriswasdi;Somchanin Pipatpajong;Yothin Rakvongthai","doi":"10.1109/TRPMS.2025.3597718","DOIUrl":"https://doi.org/10.1109/TRPMS.2025.3597718","url":null,"abstract":"This study aimed to develop a noninvasive tool to predict axillary lymph node metastasis (ALNM) using a multimodality radiomics based on mammography (MMG) and magnetic resonance imaging (MRI) and its combination with the conventional clinical model. Datasets from 203 clinically node-negative breast cancer patients were collected and randomly allocated into train/validation (n <inline-formula> <tex-math>$ = 160$ </tex-math></inline-formula>), and test (n <inline-formula> <tex-math>$ = 43$ </tex-math></inline-formula>) datasets. Radiomic features derived from both MMG and MRI were computed. Subsequently, the important features were selected by intraclass correlation coefficient (ICC), univariate analysis, and recursive feature elimination (RFE). Multivariate logistic regression was employed to construct seven models, which were clinical, MMG, MRI, MMG+MRI, MMG+Clinical, MRI+Clinical, and MMG+MRI+Clinical models. The area under the receiver operating characteristic curve (AUC) was used to evaluate the model performance. The MMG+MRI model and its combination with the clinical model achieved significantly superior performance in ALNM prediction compared to the clinical and single-modality models alone, yielding AUC values of <inline-formula> <tex-math>$0.875~pm ~0.052$ </tex-math></inline-formula> and <inline-formula> <tex-math>$0.874~pm ~0.050$ </tex-math></inline-formula> in the validation, and 0.779 and 0.764 in test dataset, respectively. The MMG+MRI and MMG+MRI+Clinical models demonstrated high performance in ALNM prediction, and hold promise to be an effective noninvasive tool to predict ALNM in clinically node-negative breast cancer patients.","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"10 3","pages":"350-358"},"PeriodicalIF":3.5,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147352570","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
Enhancing the Diagnostic Accuracy of Amyloid PET: The Impact of MR-Guided PET Reconstruction 提高淀粉样蛋白PET的诊断准确性:mr引导下PET重建的影响
IF 3.5
IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-08-11 DOI: 10.1109/TRPMS.2025.3597845
M. Mehdi Khalighi;Christina B. Young;Skylar Weiss;Michael Zeineh;Guido Davidzon;Elizabeth Mormino;Greg Zaharchuk
{"title":"Enhancing the Diagnostic Accuracy of Amyloid PET: The Impact of MR-Guided PET Reconstruction","authors":"M. Mehdi Khalighi;Christina B. Young;Skylar Weiss;Michael Zeineh;Guido Davidzon;Elizabeth Mormino;Greg Zaharchuk","doi":"10.1109/TRPMS.2025.3597845","DOIUrl":"https://doi.org/10.1109/TRPMS.2025.3597845","url":null,"abstract":"18F-Florbetaben (FBB) uptake in the supratentorial cortex is indicative of amyloid positivity. Due to positron emission tomography (PET)’s low spatial resolution, image noise, and spill-over of signal from adjacent white-matter into gray-matter, trained readers may provide inconsistent reads and quantitative calculations like centiloids (CLs) are also affected. A set of 264 FBB (amyloid) PET/MRI exams were reconstructed using conventional ordered subset expectation maximization (OSEM) method and MR-guided block sequential regularized expectation maximization (MRgBSREM) method. Three trained readers evaluated the images from these 264 patients, which were reconstructed using the OSEM method. Fifty-three exams were rated inconsistently and were mixed with another 53 exams which were rated consistently. These 106 subjects were then rated by our readers using the MRgBSREM PET reconstruction method. CLs were measured using both reconstruction methods. There is significant correlation between CL measured by OSEM and MRgBSREM methods with R<inline-formula> <tex-math>$2 = 0.99$ </tex-math></inline-formula>. The number of inconsistent exams dropped by 64% using MRgBSREM method as compared with OSEM method. Using Fleiss-Kappa statistical test, the agreement between readers was raised from “Fair” to “Significant” in the 106-subjects subset. PET reconstruction with MR priors can significantly improve the consistency of ratings among trained readers. Given the prevalence of inconsistent ratings in amyloid PET, methods that enhance the ability to distinguish intermediate amyloid levels could be valuable for the widespread adoption of this modality.","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"10 3","pages":"344-349"},"PeriodicalIF":3.5,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147352530","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
Imaging Simulation of a Dual-Panel PET Geometry With Ultrafast TOF Detectors 利用超快TOF探测器的双面板PET几何成像模拟
IF 3.5
IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-07-31 DOI: 10.1109/TRPMS.2025.3594356
Taiyo Ishikawa;Go Akamatsu;Hideaki Tashima;Fumihiko Nishikido;Fumio Hashimoto;Ryosuke Ota;Hideaki Haneishi;Sun Il Kwon;Simon R. Cherry;Taiga Yamaya
{"title":"Imaging Simulation of a Dual-Panel PET Geometry With Ultrafast TOF Detectors","authors":"Taiyo Ishikawa;Go Akamatsu;Hideaki Tashima;Fumihiko Nishikido;Fumio Hashimoto;Ryosuke Ota;Hideaki Haneishi;Sun Il Kwon;Simon R. Cherry;Taiga Yamaya","doi":"10.1109/TRPMS.2025.3594356","DOIUrl":"https://doi.org/10.1109/TRPMS.2025.3594356","url":null,"abstract":"In positron emission tomography (PET), time-of-flight (TOF) information localizes source positions along lines of response. Cherenkov-radiator-integrated microchannel-plate photomultiplier tubes have achieved 30-ps TOF resolution, demonstrating cross-sectional imaging without reconstruction. Such ultrafast TOF detectors would free PET from conventional ring geometries. Therefore, this study aimed at investigating imaging characteristics of a dual-panel PET with ultrafast TOF detectors using Geant4 simulation. Two detector panels (<inline-formula> <tex-math>$137times 137$ </tex-math></inline-formula> mm2), which consisted of 5.0-mm thick bismuth germanate pixelized crystals with a 5.75-mm pitch, were placed face-to-face at a 300-mm distance. Imaging characteristics with various TOF resolutions from 30 to 90 ps were evaluated. Because, degraded efficiency may cancel TOF gain in image quality, detection efficiency was also parameterized by reducing coincidence counts. Data acquisitions for a numerical multirod and uniform phantom (21 MBq) and a modified NEMA NU2 image quality phantom were simulated for 600 s. Results of the maximum likelihood expectation maximization (MLEM) reconstruction were compared with those of a backprojection (i.e., no reconstruction). The dual-panel PET required a 40-ps TOF resolution to have a similar spatial resolution to that of a non-TOF ring PET (300-mm in diameter) for the same detection efficiency. TOF showed benefit in the reconstruction of image quality phantom with 40% efficiency, and the image noise with 20% efficiency at 30-ps TOF was similar to the complete efficiency at 40-ps TOF. MLEM provided better imaging performance than backprojection, even at 30-ps TOF. The feasibility of the proposed dual-panel PET was shown.","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"10 3","pages":"418-426"},"PeriodicalIF":3.5,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147352574","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
Semi-Monolithic Detectors for TOF-DOI Brain PET: Optimization of Time, Energy, and Positioning Resolutions With Varying Surface Treatments 用于TOF-DOI脑PET的半单片探测器:优化时间,能量和不同表面处理的定位分辨率
IF 3.5
IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-07-30 DOI: 10.1109/TRPMS.2025.3594103
Fiammetta Pagano;Francis Loignon-Houle;David Sanchez;Nicolas A. Karakatsanis;Jorge Alamo;Sadek A. Nehmeh;Antonio J. Gonzalez
{"title":"Semi-Monolithic Detectors for TOF-DOI Brain PET: Optimization of Time, Energy, and Positioning Resolutions With Varying Surface Treatments","authors":"Fiammetta Pagano;Francis Loignon-Houle;David Sanchez;Nicolas A. Karakatsanis;Jorge Alamo;Sadek A. Nehmeh;Antonio J. Gonzalez","doi":"10.1109/TRPMS.2025.3594103","DOIUrl":"https://doi.org/10.1109/TRPMS.2025.3594103","url":null,"abstract":"Semi-monolithic detectors, a hybrid configuration combining the benefits of pixelated arrays and monolithic blocks, present a compelling and cost-effective solution for positron emission tomography (PET) scanners with both time-of-flight (TOF) and depth-of-interaction (DOI) capabilities. In this work, we evaluate four LYSO-based semi-monolithic arrays with various surface treatments, read out with the PETsys TOFPET2 ASIC, to identify the optimal configuration for a novel brain PET scanner. The chosen array, featuring ESR on all surfaces except for the black-painted lateral pixelated ones, achieved <inline-formula> <tex-math>$15.9~pm ~0.6$ </tex-math></inline-formula>% energy resolution and <inline-formula> <tex-math>$253~pm ~15$ </tex-math></inline-formula>ps detector time resolution (DTR). neural network with multilayer perceptron architectures were used to estimate the annihilation photon impact position, yielding average accuracies of <inline-formula> <tex-math>$3.7~pm ~1$ </tex-math></inline-formula>.1 mm and <inline-formula> <tex-math>$2.6~pm ~0$ </tex-math></inline-formula>.7 mm (FWHM) along the DOI and monolithic directions, respectively. The comparative analysis of the four arrays also prompted an investigation into light sharing in semi-monolithic detectors, supported by a GATE-based simulation framework which was designed to complement the experimental results and confirm the observed trends in time resolution. By refining the detector design based on semi-monolithic geometry and optimized surface crystal treatment to enhance positioning accuracy, this study contributes to the development of a next-generation brain PET scanner, with competitive performance but at a moderate cost.","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"10 2","pages":"276-287"},"PeriodicalIF":3.5,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11104820","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146116812","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
Simultaneous [¹⁵O]H₂O and [⁸⁹Zr]mAb Scanning With Long Axial Field-of-View PET: A Simulation Study Using Digital Twins [¹O]H₂O和[⁸Zr]单抗长轴视场PET扫描:数字孪生体的模拟研究
IF 3.5
IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-07-30 DOI: 10.1109/TRPMS.2025.3594196
Zekai Li;Philipp Mohr;Viet Dao;Gert Luurtsema;Adrienne H. Brouwers;Adriaan A. Lammertsma;Charalampos Tsoumpas
{"title":"Simultaneous [¹⁵O]H₂O and [⁸⁹Zr]mAb Scanning With Long Axial Field-of-View PET: A Simulation Study Using Digital Twins","authors":"Zekai Li;Philipp Mohr;Viet Dao;Gert Luurtsema;Adrienne H. Brouwers;Adriaan A. Lammertsma;Charalampos Tsoumpas","doi":"10.1109/TRPMS.2025.3594196","DOIUrl":"https://doi.org/10.1109/TRPMS.2025.3594196","url":null,"abstract":"Simultaneous dual-tracer positron emission tomography (PET) allows for the measurement of two distinct physiological processes within a single scan, i.e., under identical biological conditions. Quantification of 89Zr-labeled monoclonal antibody ([89Zr]mAb) uptake can be influenced by perfusion. Perfusion can be measured using [15O]H2O PET, but considerable variability in perfusion between scans may be an issue, there is a need to measure it at the same time as [89Zr]mAb uptake. Based on the high sensitivity of long axial field-of-view (LAFOV) PET, this simulation study uses digital twins based on real patient scans to evaluate the feasibility of [15O]H2O and [89Zr]mAb dual-tracer imaging. Using a 15-min scanning protocol, kinetic-based and subtraction-based methods were employed to recover [15O]H2O kinetic parameters (<inline-formula> <tex-math>$K_{1}$ </tex-math></inline-formula> and <inline-formula> <tex-math>$V_{T}$ </tex-math></inline-formula>) at both volume of interest (VOI) and voxel levels for various tracer uptake scenarios. Quantitative assessment was carried out using scatter and Bland-Altman plots by comparing [15O]H2O parameters derived from a dual-tracer scan with those derived from the corresponding single tracer [15O]H2O results. Both methods showed excellent recovery of [15O]H2O kinetic parameters, with correlation coefficients exceeding 0.99 for VOI-level estimates and 0.94 for voxel-level estimates. Performance was further validated through bias versus standard deviation analyses. This study demonstrates the feasibility of a clinically practical 15 min protocol for a simultaneous [15O]H2O and [89Zr]mAb PET acquisition while retaining accuracy of [15O]H2O quantification.","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"10 3","pages":"406-417"},"PeriodicalIF":3.5,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147352539","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
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