IEEE Transactions on Radiation and Plasma Medical Sciences最新文献

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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
IF 4.6
IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-03-02 DOI: 10.1109/TRPMS.2025.3561406
{"title":"IEEE Transactions on Radiation and Plasma Medical Sciences Information for Authors","authors":"","doi":"10.1109/TRPMS.2025.3561406","DOIUrl":"https://doi.org/10.1109/TRPMS.2025.3561406","url":null,"abstract":"","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"9 5","pages":"C3-C3"},"PeriodicalIF":4.6,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10982370","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143900520","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
Front-End Electronics Design for 3-D Position Sensitive TOF-PET Detector That Achieves ~120-ps CTR and ~1.2-mm DOI Resolution 实现~120-ps CTR和~1.2 mm DOI分辨率的3-D位置敏感TOF-PET探测器前端电子设计
IF 4.6
IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-02-14 DOI: 10.1109/TRPMS.2025.3542024
Zhixiang Zhao;Qiu Huang;Craig S. Levin
{"title":"Front-End Electronics Design for 3-D Position Sensitive TOF-PET Detector That Achieves ~120-ps CTR and ~1.2-mm DOI Resolution","authors":"Zhixiang Zhao;Qiu Huang;Craig S. Levin","doi":"10.1109/TRPMS.2025.3542024","DOIUrl":"https://doi.org/10.1109/TRPMS.2025.3542024","url":null,"abstract":"This study introduces and evaluates a new front-end electronics design for time-of-flight (TOF) 3-D position sensitive (TOF-3-DPS) detectors with a side-readout configuration. This design employs an RF amplifier and summing circuit-based timing multiplexing scheme to achieve 24:1 timing multiplexing. Additionally, complex programmable logic devices are utilized for precise energy measurement and 3-D positioning, accommodating both single and multiinteraction intercrystal scatter (ICS) events within a detector unit. Experimental results on a single <inline-formula> <tex-math>$3times 3times $ </tex-math></inline-formula> 10 mm3 LYSO:Ce crystal side-coupled to three <inline-formula> <tex-math>$3times $ </tex-math></inline-formula> 3 mm2 SiPMs in a <inline-formula> <tex-math>$4times 6$ </tex-math></inline-formula> SiPM array demonstrated a <inline-formula> <tex-math>$9.17pm 0.20$ </tex-math></inline-formula>% energy resolution, a <inline-formula> <tex-math>$1.20pm 0$ </tex-math></inline-formula>.26 mm FWHM depth-of-interaction (DOI) resolution, and a <inline-formula> <tex-math>$112.46pm 1.91$ </tex-math></inline-formula> ps FWHM coincidence time resolution (CTR) after DOI-related time skew correction. Further tests on a detector unit comprising a <inline-formula> <tex-math>$4times 2$ </tex-math></inline-formula> array of <inline-formula> <tex-math>$3times 3times $ </tex-math></inline-formula> 10 mm3 LYSO:Ce crystals, side-coupled with the same <inline-formula> <tex-math>$4times 6$ </tex-math></inline-formula> SiPM array, yielded a <inline-formula> <tex-math>$10.56pm 1.05$ </tex-math></inline-formula>% energy resolution and a <inline-formula> <tex-math>$121.28pm 3.35$ </tex-math></inline-formula> ps FWHM DOI-calibrated CTR. The ICS event ratio for each crystal element within the detector unit was also preliminarily assessed. The front-end readout circuit consumes approximately 0.75 W per 24-SiPMs detector unit and features a compact <inline-formula> <tex-math>$27times $ </tex-math></inline-formula> 95 mm2 footprint capable of reading out two units, enabling easy stacking of multiple units to form a complete TOF-3-DPS detector module.","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"9 6","pages":"736-746"},"PeriodicalIF":4.6,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10887305","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144597922","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
Beam Hardening Correction for Image-Domain Material Decomposition in Photon-Counting CT 光子计数CT图像域材料分解的光束硬化校正
IF 4.6
IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-02-10 DOI: 10.1109/TRPMS.2025.3540212
Tao Fan;Wenhui Qin;Zhongliang Zhang;Xiaoxue Lei;Zhi Liu;Meili Yang;Qianyu Wu;Yang Chen;Guotao Quan;Xiaochun Lai
{"title":"Beam Hardening Correction for Image-Domain Material Decomposition in Photon-Counting CT","authors":"Tao Fan;Wenhui Qin;Zhongliang Zhang;Xiaoxue Lei;Zhi Liu;Meili Yang;Qianyu Wu;Yang Chen;Guotao Quan;Xiaochun Lai","doi":"10.1109/TRPMS.2025.3540212","DOIUrl":"https://doi.org/10.1109/TRPMS.2025.3540212","url":null,"abstract":"Image-domain material decomposition is widely used due to its computational efficiency and compatibility with commonly adopted clinical spectral reconstruction platforms. However, it often suffers from beam hardening artifacts, which can degrade both image quality and diagnostic accuracy. In this study, we propose a beam hardening correction (BHC) method specifically designed for image-domain material decomposition in photon-counting computed tomography (PCCT). Our method utilizes spectral information obtained from the photon-counting detector in PCCT to estimate and correct the beam hardening effect. The measured X-ray spectrum for each energy counter is initially estimated using a sinogram from an off-center water phantom. This spectral information is then applied to compute and correct projection errors induced by beam hardening, thereby enhancing material decomposition accuracy. Extensive qualitative and quantitative evaluations using water, Gammex phantoms (for moderate beam hardening), and a head phantom (for severe beam hardening) validate the effectiveness of the proposed method. Our BHC approach demonstrates significant improvements over existing methods, enabling more accurate and reliable image-domain material decomposition in PCCT applications.","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"9 6","pages":"788-799"},"PeriodicalIF":4.6,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144597600","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
Weight-Adaptive Network With CT Enhancement for Short-Duration PET Imaging Utilizing the uEXPLORER Total-Body System 利用uEXPLORER全身系统进行短时间PET成像的CT增强加权自适应网络
IF 4.6
IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-02-10 DOI: 10.1109/TRPMS.2025.3540112
Fanting Luo;Hongyan Tang;Wenbo Li;Haiyan Wang;Ruohua Chen;Jianjun Liu;Chao Zhou;Xu Zhang;Wei Fan;Yumo Zhao;Yongfeng Yang;Hairong Zheng;Dong Liang;Shengping Liu;Zhenxing Huang;Zhanli Hu
{"title":"Weight-Adaptive Network With CT Enhancement for Short-Duration PET Imaging Utilizing the uEXPLORER Total-Body System","authors":"Fanting Luo;Hongyan Tang;Wenbo Li;Haiyan Wang;Ruohua Chen;Jianjun Liu;Chao Zhou;Xu Zhang;Wei Fan;Yumo Zhao;Yongfeng Yang;Hairong Zheng;Dong Liang;Shengping Liu;Zhenxing Huang;Zhanli Hu","doi":"10.1109/TRPMS.2025.3540112","DOIUrl":"https://doi.org/10.1109/TRPMS.2025.3540112","url":null,"abstract":"The total-body positron emission tomography (PET) scanning time is typically reduced to mitigate motion artifacts, yet this can compromise image quality. Current approaches often enhance PET resolution via CT guidance but overlook structural disparities across anatomical sites. Therefore, this article introduces an enhanced Wasserstein generative adversarial network with gradient penalty (WGAN-GP), integrating anatomical information as attributes to enhance quality of multiple short-duration (2.5%, 5%, and 10%) total-body PET images simultaneously. The proposed method is a weight-adaptive three-channel network for different regions, integrating PET/CT features and attributes to optimize short-duration PET image generation. peak signal-to-noise ratio (PSNR), structural similarity index measure (SSIM), root mean square error (RMSE), and standard uptake value (SUV) are analyzed within whole images and regions of interests (ROIs) to compare proposed method with other networks. The results on the 18F-FDG PET dataset show the method achieves better-visual effects and metrics (like SSIM: 0.94±0.04 for 2.5%; 0.95±0.04 for 5%; and 0.96±0.04 for 10%) across total-body than others. Furthermore, the SUV-maximum and activity distributions of ROIs are closest to standard-duration PET. Additionally, the method demonstrates robustness under varying degrees of 18F-FDG PET/CT misalignment and in the PSMA PET/CT dataset. The proposed method offers reliable technical support for clinical diagnosis via short-duration total-body PET.","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"9 6","pages":"800-814"},"PeriodicalIF":4.6,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144597879","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
Event Classification in Heterostructured Scintillators With Limited Readout Information Using Neural Networks 基于神经网络的有限读出信息异质闪烁体事件分类
IF 4.6
IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-02-10 DOI: 10.1109/TRPMS.2025.3540559
Carsten Lowis;Fiammetta Pagano;Marco Pizzichemi;Karl-Josef Langen;Karl Ziemons;Etiennette Auffray
{"title":"Event Classification in Heterostructured Scintillators With Limited Readout Information Using Neural Networks","authors":"Carsten Lowis;Fiammetta Pagano;Marco Pizzichemi;Karl-Josef Langen;Karl Ziemons;Etiennette Auffray","doi":"10.1109/TRPMS.2025.3540559","DOIUrl":"https://doi.org/10.1109/TRPMS.2025.3540559","url":null,"abstract":"To improve coincidence time resolution (CTR) in time-of-flight positron emission tomography (TOF-PET), various approaches have been explored, including the use of novel materials like heterostructured scintillators. These scintillators combine different materials with complementary properties like Bismuth Germanate for its high detection efficiency and EJ232 for fast timing. By layering these materials on a micrometer scale, energy sharing between them becomes possible, enabling fast timing, while maintaining high detection efficiency. For TOF-PET applications, scalable electronics are essential. While earlier models characterized heterostructured scintillators in analog, single-pixel setups, the digital and scalable systems required for full positron emission tomography (PET) scanners present additional challenges due to increased signal complexity. In this study, we explored neural networks to characterize heterostructured scintillators using parameters available in scalable systems. We trained one neural network to identify photoelectric events and another one to estimate the amount of energy sharing between the two materials. The method demonstrated promising results using multiple combinations of the aforementioned parameters, with prediction accuracy for photoelectric events ranging from 91.6% to 96.8%, and a mean average error in the energy sharing estimation between 7.7 and 43.9 keV. This suggests the potential application of heterostructured scintillators in scalable readout electronics for full TOF-PET systems.","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"9 6","pages":"756-761"},"PeriodicalIF":4.6,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10879225","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144597711","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
High-Performance Dual-Ended SiPM Readout for TOF-PET With BGO and LYSO:Ce 高性能双端SiPM读出TOF-PET与BGO和LYSO:Ce
IF 4.6
IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-02-07 DOI: 10.1109/TRPMS.2025.3539191
Nicolaus Kratochwil;Emilie Roncali;Joshua W. Cates;Gerard Ariño-Estrada
{"title":"High-Performance Dual-Ended SiPM Readout for TOF-PET With BGO and LYSO:Ce","authors":"Nicolaus Kratochwil;Emilie Roncali;Joshua W. Cates;Gerard Ariño-Estrada","doi":"10.1109/TRPMS.2025.3539191","DOIUrl":"https://doi.org/10.1109/TRPMS.2025.3539191","url":null,"abstract":"Detection time performance is a key aspect for time-of-flight positron emission tomography. With recent advancement in SiPM technology and fast readout electronics, one limiting factor on timing performance is light transport in the crystal. For high aspect-ratio crystals with single-ended readout, the time information of approximately half the optical photons is severely degraded as they initially travel in the direction opposed to the photodetector. For promptly-emitted Cherenkov photons, the increase of variance of optical path length limits their intrinsic advantage. Low-noise and high-frequency dual-ended SiPM readout can be employed to mitigate the aforementioned challenges and has the potential to combine ultrafast timing with highest gamma-ray detection efficiency. We have studied the timing properties of cerium-doped lutetium-yttrium-oxyorthosilicate (LYSO:Ce) and bismuth germanate (BGO) in a symmetric dual-ended SiPM readout configuration. A time-based depth-of-interaction correction and a novel adaptive timestamp weighting was used to optimize the timing performance. Coupling 3x3x20 mm3 polished BGO crystals to Broadcom AFBR-S4N44P014M SiPMs a CTR of 234 ± 4 ps FWHM (harmonic average) was obtained for all photopeak events. For same-sized LYSO:Ce crystals, the measured CTR value is 98 ± 2 ps, which is in excellent agreement with analytic calculations on the timing limits considering scintillation properties and modeling of light transport. The results demonstrate significant timing improvement with dual-ended readout, both for Cherenkov photons in BGO and for standard scintillation for enhanced diagnostic accuracy in PET imaging.","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"9 6","pages":"721-735"},"PeriodicalIF":4.6,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10878413","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144598070","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 4.6
IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-02-04 DOI: 10.1109/TRPMS.2025.3530624
{"title":"IEEE Transactions on Radiation and Plasma Medical Sciences Information for Authors","authors":"","doi":"10.1109/TRPMS.2025.3530624","DOIUrl":"https://doi.org/10.1109/TRPMS.2025.3530624","url":null,"abstract":"","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"9 2","pages":"C2-C2"},"PeriodicalIF":4.6,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10870458","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106271","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 Publication Information IEEE辐射与等离子体医学科学汇刊信息
IF 4.6
IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-02-04 DOI: 10.1109/TRPMS.2025.3530622
{"title":"IEEE Transactions on Radiation and Plasma Medical Sciences Publication Information","authors":"","doi":"10.1109/TRPMS.2025.3530622","DOIUrl":"https://doi.org/10.1109/TRPMS.2025.3530622","url":null,"abstract":"","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"9 2","pages":"C3-C3"},"PeriodicalIF":4.6,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10870459","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106264","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
Experimental Study of a Large Area High PDE SiPM in 0.11-μm CMOS Process for PET Applications 用于PET的0.11 μm CMOS工艺中大面积高PDE SiPM的实验研究
IF 4.6
IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-01-27 DOI: 10.1109/TRPMS.2025.3534221
Jingbin Chen;Nicola D’Ascenzo;Daniele Passaretti;Hui Lao;Yuexuan Hua;Qingguo Xie
{"title":"Experimental Study of a Large Area High PDE SiPM in 0.11-μm CMOS Process for PET Applications","authors":"Jingbin Chen;Nicola D’Ascenzo;Daniele Passaretti;Hui Lao;Yuexuan Hua;Qingguo Xie","doi":"10.1109/TRPMS.2025.3534221","DOIUrl":"https://doi.org/10.1109/TRPMS.2025.3534221","url":null,"abstract":"Silicon photomultipliers (SiPMs) fabricated in a standard complementary metal-oxide-semiconductor (CMOS) process enable the development of cost-effective, reliable, and power-efficient photosensors for positron emission tomography (PET) applications. However, PET manufacturers prefer SiPMs in customized technologies for their high photon detection efficiency (PDE) and low noise, which are crucial parameters for energy and time resolution in PET scanners. Recently, RAYQUANT Technology Ltd. has developed a high PDE SiPM fabricated in 0.11-<inline-formula> <tex-math>$mu $ </tex-math></inline-formula>m CMOS process, with large area of 9 mm2. This article investigates for the first time the ability of this SiPM to collect scintillation light from LYSO crystals for PET applications, evaluating energy resolution, and coincidence time resolution (CTR). The LYSO/SiPM detector achieves the best energy resolution (FWHM) of <inline-formula> <tex-math>$mathbf {(28. 0pm 1.0)}$ </tex-math></inline-formula>% at 60 keV, <inline-formula> <tex-math>$mathbf {(10.6pm 0.4)}$ </tex-math></inline-formula>% at 511 keV, and <inline-formula> <tex-math>$mathbf {(8.5pm 0.4)}$ </tex-math></inline-formula>% at 662 keV. The best CTR (FWHM) is <inline-formula> <tex-math>$mathbf {(172pm 2)}$ </tex-math></inline-formula> ps, <inline-formula> <tex-math>$mathbf {(147pm 2)}$ </tex-math></inline-formula> ps, and <inline-formula> <tex-math>$mathbf {(115pm 1)}$ </tex-math></inline-formula> ps, when the SiPM is coupled to crystals of 20, 10, and 5 mm length, respectively. These results confirm that the studied CMOS-based SiPM is not only suitable for PET applications but is even competitive with SiPMs fabricated in customized technologies.","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"9 6","pages":"747-755"},"PeriodicalIF":4.6,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144597948","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
Synthetic CT Image Generation From CBCT: A Systematic Review 从CBCT生成合成CT图像:系统综述
IF 4.6
IEEE Transactions on Radiation and Plasma Medical Sciences Pub Date : 2025-01-24 DOI: 10.1109/TRPMS.2025.3533749
Alzahra Altalib;Scott McGregor;Chunhui Li;Alessandro Perelli
{"title":"Synthetic CT Image Generation From CBCT: A Systematic Review","authors":"Alzahra Altalib;Scott McGregor;Chunhui Li;Alessandro Perelli","doi":"10.1109/TRPMS.2025.3533749","DOIUrl":"https://doi.org/10.1109/TRPMS.2025.3533749","url":null,"abstract":"The generation of synthetic Computed Tomography (sCT) images from cone-beam CT (CBCT) data using deep learning (DL) methodologies represents a significant advancement in radiation oncology. This systematic review, following PRISMA guidelines and using the PICO model, comprehensively evaluates the literature from 2014 to 2024 on the generation of sCT images for radiation therapy planning in oncology. A total of 35 relevant studies were identified and analyzed, revealing the prevalence of DL approaches in the generation of sCT. This review comprehensively covers sCT generation based on CBCT and proton-based studies. Some of the commonly employed architectures explored are convolutional neural networks (CNNs), generative adversarial networks (GANs), transformers, and diffusion models. Evaluation metrics, including mean absolute error (MAE), root mean square error (RMSE), peak signal-to-noise ratio (PSNR), and structural similarity index (SSIM), consistently demonstrate the comparability of sCT images with gold-standard planning CTs (pCT), indicating their potential to improve treatment precision and patient outcomes. Challenges, such as field-of-view (FOV) disparities and integration into clinical workflows, are discussed, along with recommendations for future research and standardization efforts. In general, the findings underscore the promising role of sCT-based approaches in personalized treatment planning and adaptive radiation therapy, with potential implications for improved oncology treatment delivery and patient care.","PeriodicalId":46807,"journal":{"name":"IEEE Transactions on Radiation and Plasma Medical Sciences","volume":"9 6","pages":"691-707"},"PeriodicalIF":4.6,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10852217","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144597953","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
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