Radiological Physics and Technology最新文献

Estimation of effective dose and ridk of exposure-induced cancer death,and diagnostic reference level for CT scans in Tabriz, Iran.

IF 1.7

Radiological Physics and Technology Pub Date : 2024-12-20 DOI: 10.1007/s12194-024-00872-0

Hamed Zamani, Maedeh Yektamanesh, Fatemeh Shiridokht, Soheila Sharifian Jazi, Reza Javadrashid, Amir Ghasemi Jangjoo, Mikaeil Molazadeh, Alireza Farajollahi, Tohid Mortezazadeh

{"title":"Estimation of effective dose and ridk of exposure-induced cancer death,and diagnostic reference level for CT scans in Tabriz, Iran.","authors":"Hamed Zamani, Maedeh Yektamanesh, Fatemeh Shiridokht, Soheila Sharifian Jazi, Reza Javadrashid, Amir Ghasemi Jangjoo, Mikaeil Molazadeh, Alireza Farajollahi, Tohid Mortezazadeh","doi":"10.1007/s12194-024-00872-0","DOIUrl":"https://doi.org/10.1007/s12194-024-00872-0","url":null,"abstract":"This study aimed to estimate the effective dose and the risk of exposure-induced cancer death (REID), as well as to establish diagnostic reference levels (DRLs) for common CT examinations conducted in Tabriz, Iran. The investigation included adult patients undergoing abdomen-pelvis, brain, neck, sinus, and chest CT scans. Patient data, exposure parameters, and radiation dose metrics, such as volume CT dose index (CTDIvol) and dose length product (DLP), were collected and analyzed. The results showed significant variations in radiation dose across different centers for the CT scans. The average effective doses for the different CT scans were 5.65, 1.08, 1.40, 0.46, and 3.68 mSv for abdomen-pelvis, brain, neck, sinus, and chest scans, respectively. The REID values ranged from 14 per million (for sinus scans) to 196 per million (for abdomen-pelvis scans). Additionally, the DRL values for CTDIvol were 11.03 (for abdomen-pelvis), 59.52 (for brain), 8.33 (for neck), 17.05 (for sinus), and 7.83 mGy (for chest). Our results showed that most of the investigated CT scans had lower effective doses compared to the literature and the REIDs were estimated to be low. Minimizing radiation risk can be achieved by reducing CT exams and keeping doses as low as reasonably achievable. The local DRLs from this study were comparable to previous reports and can serve as benchmarks for setting national and international DRLs, helping healthcare facilities optimize radiation practices and improve patient safety in diagnostic imaging.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142865781","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

Dataset augmentation with multiple contrasts images in super-resolution processing of T1-weighted brain magnetic resonance images. 在 T1 加权脑磁共振图像的超分辨率处理中使用多重对比图像进行数据集扩增。

IF 1.7

Radiological Physics and Technology Pub Date : 2024-12-16 DOI: 10.1007/s12194-024-00871-1

Hajime Kageyama, Nobukiyo Yoshida, Keisuke Kondo, Hiroyuki Akai

{"title":"Dataset augmentation with multiple contrasts images in super-resolution processing of T1-weighted brain magnetic resonance images.","authors":"Hajime Kageyama, Nobukiyo Yoshida, Keisuke Kondo, Hiroyuki Akai","doi":"10.1007/s12194-024-00871-1","DOIUrl":"https://doi.org/10.1007/s12194-024-00871-1","url":null,"abstract":"This study investigated the effectiveness of augmenting datasets for super-resolution processing of brain Magnetic Resonance Images (MRI) T1-weighted images (T1WIs) using deep learning. By incorporating images with different contrasts from the same subject, this study sought to improve network performance and assess its impact on image quality metrics, such as peak signal-to-noise ratio (PSNR) and structural similarity (SSIM). This retrospective study included 240 patients who underwent brain MRI. Two types of datasets were created: the Pure-Dataset group comprising T1WIs and the Mixed-Dataset group comprising T1WIs, T2-weighted images, and fluid-attenuated inversion recovery images. A U-Net-based network and an Enhanced Deep Super-Resolution network (EDSR) were trained on these datasets. Objective image quality analysis was performed using PSNR and SSIM. Statistical analyses, including paired t test and Pearson's correlation coefficient, were conducted to evaluate the results. Augmenting datasets with images of different contrasts significantly improved training accuracy as the dataset size increased. PSNR values ranged 29.84-30.26 dB for U-Net trained on mixed datasets, and SSIM values ranged 0.9858-0.9868. Similarly, PSNR values ranged 32.34-32.64 dB for EDSR trained on mixed datasets, and SSIM values ranged 0.9941-0.9945. Significant differences in PSNR and SSIM were observed between models trained on pure and mixed datasets. Pearson's correlation coefficient indicated a strong positive correlation between dataset size and image quality metrics. Using diverse image data obtained from the same subject can improve the performance of deep-learning models in medical image super-resolution tasks.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142830376","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

Correction: Visualization of X-ray fields, overlaps, and over-beaming on surface of the head in spiral computed tomography using computer-aided design-based X-ray beam modeling.

IF 1.7

Radiological Physics and Technology Pub Date : 2024-12-11 DOI: 10.1007/s12194-024-00863-1

Atsushi Fukuda, Nao Ichikawa, Takuma Hayashi, Ayaka Hirosawa, Kosuke Matsubara

引用次数: 0

Quantitative assessment of ¹⁶⁷Tm isotope production: experimental data analysis and model validation.

IF 1.7

Radiological Physics and Technology Pub Date : 2024-12-07 DOI: 10.1007/s12194-024-00862-2

Md Nurul Amin, A K M Rezaur Rahman, Muhammad Asif Zubair, Quazi Muhammad Rashed Nizam

{"title":"Quantitative assessment of 167Tm isotope production: experimental data analysis and model validation.","authors":"Md Nurul Amin, A K M Rezaur Rahman, Muhammad Asif Zubair, Quazi Muhammad Rashed Nizam","doi":"10.1007/s12194-024-00862-2","DOIUrl":"https://doi.org/10.1007/s12194-024-00862-2","url":null,"abstract":"167Tm is an effective radioisotope for use in theragnostic purposes. This study aims to find the best alternative routes for producing 167Tm for appropriate cancer therapy and diagnostics. In this study, we comprehensively analyzed production cross-sections of 167Tm and investigated the behavior of these reactions using six different level density models and refined optical model potential (OMP) parameters with the nuclear reaction code TALYS 1.96. Using this code, we estimated the specific activity and production yield for promising production routes. For characterizing the 167Tm isotopes, the energy distribution of 167Tm was also analyzed for each prominent reaction by particle and heavy ion transport code system (PHITS). The maximum specific activity was estimated as 52.6-75.2 GBq/g with a production yield of 20.2-32.7 GBq/mAh for the route 169Tm(p,x)167Tm. The experimental value was reproduced with good agreement by TALYS adjusting different OMP parameters. 169Tm(p,x)167Tm is the alternative route for producing 167Tm, for which TALYS can reproduce the result more accurately.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142792648","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

Optimizing the planning process in computed tomography-based image-guided adaptive brachytherapy for cervical cancer using a spreadsheet-based daily dose management system.

IF 1.7

Radiological Physics and Technology Pub Date : 2024-12-05 DOI: 10.1007/s12194-024-00867-x

Jun Takatsu, Takahito Chiba, Naoya Murakami, Kotaro Iijima, Tatsuya Inoue, Noriyuki Okonogi, Yoichi Muramoto, Terufumi Kawamoto, Tatsuki Karino, Hiroyuki Okamoto, Satoshi Nakamura, Hiroki Nakayama, Yasuhisa Terao, Naoto Shikama

{"title":"Optimizing the planning process in computed tomography-based image-guided adaptive brachytherapy for cervical cancer using a spreadsheet-based daily dose management system.","authors":"Jun Takatsu, Takahito Chiba, Naoya Murakami, Kotaro Iijima, Tatsuya Inoue, Noriyuki Okonogi, Yoichi Muramoto, Terufumi Kawamoto, Tatsuki Karino, Hiroyuki Okamoto, Satoshi Nakamura, Hiroki Nakayama, Yasuhisa Terao, Naoto Shikama","doi":"10.1007/s12194-024-00867-x","DOIUrl":"https://doi.org/10.1007/s12194-024-00867-x","url":null,"abstract":"This study developed a system to reduce the treatment planning time for cervical cancer brachytherapy. An in-house Excel spreadsheet was developed to streamline dosimetric evaluation by combining external beam radiotherapy and brachytherapy doses, while also displaying daily dose constraints, a novel feature of the system. This system was validated in 46 consecutive patients who underwent intracavitary and interstitial brachytherapy using several applicators and required more complex dose calculation procedures than intracavitary brachytherapy alone. The proposed system included contouring and catheter reconstruction using multiple treatment planning systems simultaneously and was integrated with Excel spreadsheets for rapid dosimetric evaluation. The median time required for treatment planning was 36 min (range: 12-72 min), which was a much shorter time than those reported previously. This optimized system demonstrated the potential to increase the efficiency of brachytherapy planning to meet prescribed dose constraints without compromising treatment quality.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142787310","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

Tuning the range-energy relationship parameter for Monte Carlo-based proton Bragg curve spreading in muscle, bone, and polymethylmethacrylate.

IF 1.7

Radiological Physics and Technology Pub Date : 2024-12-05 DOI: 10.1007/s12194-024-00864-0

Behzad Aminafshar, Hamid Reza Baghani, Ali Asghar Mowlavi

引用次数: 0

Imaging of scattered radiation sources in X-ray radiography using a semiconductor radiation visualization camera.

IF 1.7

Radiological Physics and Technology Pub Date : 2024-12-05 DOI: 10.1007/s12194-024-00865-z

Mayu Sakai, Toshioh Fujibuchi, Hyojin Lee, Donghee Han

引用次数: 0

Evaluation of stopping power ratio of artificial breast implants for carbon-ion radiotherapy.

IF 1.7

Radiological Physics and Technology Pub Date : 2024-12-04 DOI: 10.1007/s12194-024-00860-4

M Muranaka, M Sakai, T Ogano, Y Hoshino, M Nakao, K Yusa, T Suto, T Ohno

{"title":"Evaluation of stopping power ratio of artificial breast implants for carbon-ion radiotherapy.","authors":"M Muranaka, M Sakai, T Ogano, Y Hoshino, M Nakao, K Yusa, T Suto, T Ohno","doi":"10.1007/s12194-024-00860-4","DOIUrl":"https://doi.org/10.1007/s12194-024-00860-4","url":null,"abstract":"The number of patients requiring breast reconstruction with artificial implants has been increasing, and so is the use of carbon-ion radiotherapy (CIRT). Consequently, a growing number of patients with artificial breast implants are expected to undergo CIRT. Because artificial breasts are composed of a silicone polymer gel with a silicon-oxygen backbone, which differs significantly from human tissues, the stopping power ratio for carbon beams cannot be accurately converted from CT values using standard CT-to-stopping power ratio tables (CT-SP tables). Incorrect stopping power ratios can lead to significant problems in CIRT, including erroneous calculations of carbon beam range. To address this, we measured the CT values and stopping power ratios of three commercial artificial breasts using a 380 MeV/u carbon beam. Our results revealed significant deviations from the CT-SP table values. For instance, calculations for treating lung cancer with incorrect stopping power ratios resulted in errors of approximately 5 mm in range calculations, adversely affecting dose distribution to the target. Although further studies with various products are needed, it is crucial to conduct thorough patient consultations and develop treatment plans using accurate stopping power ratios.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142773518","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

Can bile excretion on Gd-EOB-MRI be used as a visual criterion for the hepatobiliary phase?

IF 1.7

Radiological Physics and Technology Pub Date : 2024-12-03 DOI: 10.1007/s12194-024-00868-w

Masafumi Nakamura, Yasuo Takatsu, Mutsumi Yoshizawa, Satoshi Kobayashi, Tosiaki Miyati

{"title":"Can bile excretion on Gd-EOB-MRI be used as a visual criterion for the hepatobiliary phase?","authors":"Masafumi Nakamura, Yasuo Takatsu, Mutsumi Yoshizawa, Satoshi Kobayashi, Tosiaki Miyati","doi":"10.1007/s12194-024-00868-w","DOIUrl":"https://doi.org/10.1007/s12194-024-00868-w","url":null,"abstract":"To determine whether visually observed biliary excretion of gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) can be used to assess contrast adequacy of hepatobiliary phase (HBP) images. Images of 121 patients undergoing Gd-EOB-DTPA-enhanced magnetic resonance imaging were used. Adequate HBP images were defined as a quantitative liver-spleen contrast ratio (Q-LSC) ≥ 1.5. Visual evaluation was performed to determine if an adequate HBP image could be obtained based on the presence or absence of bile excretion. Common bile duct-paravertebral contrast (CPC) was used to assess the degree of bile excretion, the albumin-bilirubin (ALBI) grade was used to assess liver reserve, and the Q-LSC was used to assess HBP image contrast. The results were used to quantitatively evaluate the relationships of the degree of bile excretion with HBP image contrast and liver reserve. The cases correctly determined by visual evaluation via bile excretion were 80 (66.1%) at HBP 10 min after injection and 89 (73.6%) at HBP 20 min after injection. Among cases with Q-LSC ≥ 1.5 indicating bile excretion, there were 33 cases at HBP 10 min after injection and 86 cases at HBP 20 min after injection. Furthermore, among cases with Q-LSC < 1.5, indicating no bile excretion, there were 47 cases at HBP 10 min after injection and 3 cases at HBP 20 min after injection. Visually observed biliary excretion of Gd-EOB-DTPA is not a criterion for adequate HBP image contrast.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142773423","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

Assessing knowledge about medical physics in language-generative AI with large language model: using the medical physicist exam. 利用大型语言模型评估语言生成人工智能中的医学物理知识：使用医学物理学家考试。

IF 1.7

Radiological Physics and Technology Pub Date : 2024-12-01 Epub Date: 2024-09-10 DOI: 10.1007/s12194-024-00838-2

Noriyuki Kadoya, Kazuhiro Arai, Shohei Tanaka, Yuto Kimura, Ryota Tozuka, Keisuke Yasui, Naoki Hayashi, Yoshiyuki Katsuta, Haruna Takahashi, Koki Inoue, Keiichi Jingu

{"title":"Assessing knowledge about medical physics in language-generative AI with large language model: using the medical physicist exam.","authors":"Noriyuki Kadoya, Kazuhiro Arai, Shohei Tanaka, Yuto Kimura, Ryota Tozuka, Keisuke Yasui, Naoki Hayashi, Yoshiyuki Katsuta, Haruna Takahashi, Koki Inoue, Keiichi Jingu","doi":"10.1007/s12194-024-00838-2","DOIUrl":"10.1007/s12194-024-00838-2","url":null,"abstract":"This study aimed to evaluate the performance for answering the Japanese medical physicist examination and providing the benchmark of knowledge about medical physics in language-generative AI with large language model. We used questions from Japan's 2018, 2019, 2020, 2021 and 2022 medical physicist board examinations, which covered various question types, including multiple-choice questions, and mainly focused on general medicine and medical physics. ChatGPT-3.5 and ChatGPT-4.0 (OpenAI) were used. We compared the AI-based answers with the correct ones. The average accuracy rates were 42.2 ± 2.5% (ChatGPT-3.5) and 72.7 ± 2.6% (ChatGPT-4), showing that ChatGPT-4 was more accurate than ChatGPT-3.5 [all categories (except for radiation-related laws and recommendations/medical ethics): p value < 0.05]. Even with the ChatGPT model with higher accuracy, the accuracy rates were less than 60% in two categories; radiation metrology (55.6%), and radiation-related laws and recommendations/medical ethics (40.0%). These data provide the benchmark for knowledge about medical physics in ChatGPT and can be utilized as basic data for the development of various medical physics tools using ChatGPT (e.g., radiation therapy support tools with Japanese input).","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"929-937"},"PeriodicalIF":1.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142298277","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