Radiological Physics and Technology最新文献

{"title":"Detection and dual-label classification of tooth number and condition in dental panoramic radiographs including deciduous teeth.","authors":"Koki Sakai, Chisako Muramatsu, Yuta Seino, Ryo Takahashi, Tatsuro Hayashi, Wataru Nishiyama, Xiangrong Zhou, Takeshi Hara, Akitoshi Katsumata, Hiroshi Fujita","doi":"10.1007/s12194-025-00936-9","DOIUrl":"10.1007/s12194-025-00936-9","url":null,"abstract":"<p><strong>Objectives: </strong>The purpose of this study is to automatically extract the information necessary for chart recording from panoramic radiographs, to reduce the workload for dentists.</p><p><strong>Study design: </strong>Using 1,085 dental panoramic radiographs (994 of permanent dentition and 91 of mixed dentition) taken at 10 facilities, we conducted tooth detection, numbering, and condition classification. Tooth condition was defined into five classes: natural, partial restoration, prosthetic crown, implant, and pontic. First, the YOLOv7 model was used to simultaneously detect 10 classes of deciduous teeth, 16 classes of permanent teeth, and four classes of tooth condition (excluding natural). We applied rule-based post-processing to the detected objects. Precision, Recall, and F1-score were used to evaluate our method, with an IoU (Intersection over Union) threshold set at 0.5.</p><p><strong>Results: </strong>We achieved Precision, Recall, and F1-score of 98.51%, 98.38%, and 98.45%, respectively, in tooth numbering. In tooth condition classification, the average F1-score across the 5 classes was 95.47%.</p><p><strong>Conclusions: </strong>Our method, which detects and classifies the tooth numbers of permanent and deciduous teeth and their tooth condition simultaneously, is expected to contribute to reducing the workload of dentists and improving accuracy.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"821-832"},"PeriodicalIF":1.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144592622","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}

{"title":"Linear energy transfer correction using Al₂O₃:Cr thermoluminescent and radiophotoluminescence glass dosimeters for therapeutic proton dosimetry.","authors":"Weishan Chang, Hina Suzuki, Kenji Hotta, Puspen Chakraborty, Yusuke Koba, Nozomi Ohba, Kiyomitsu Shinsho","doi":"10.1007/s12194-025-00942-x","DOIUrl":"10.1007/s12194-025-00942-x","url":null,"abstract":"<p><p>Solid-state luminescence dosimeters face challenge in achieving accurate dosimetry in proton therapy owing to the linear energy transfer (LET)-dependent response. In this study, we proposed a two-dosimeter-based methodology to improve the accuracy of proton dosimetry by correcting the LET-dependent response of a radiophotoluminescence glass dosimeter (RPLD) and an Al₂O₃:Cr-based ceramic-type thermoluminescence dosimeter (TLD) for postal dosimetry. The LET dependent response for the RPLD and Al₂O₃:Cr TLD was investigated using an unmodulated 235 MeV proton beam delivered by a passive scattering system. Both dosimeters were individually calibrated in terms of the absorbed dose to water using a 6 MV X-ray beam. The luminescence efficiency ratio between the RPLD and Al₂O₃:Cr TLD ( <math><msub><mi>η</mi> <mrow> <msub><mrow><mtext>RPLD</mtext> <mo>,</mo> <mspace></mspace> <mtext>Al</mtext></mrow> <mn>2</mn></msub> <msub><mtext>O</mtext> <mn>3</mn></msub> <mo>:</mo> <mtext>Cr</mtext></mrow> </msub> </math> ) was used as an index to determine the LET dependence correction factor for the RPLD and Al₂O₃:Cr TLD ( <math><msubsup><mi>k</mi> <mrow><mtext>LET</mtext></mrow> <mtext>RPLD</mtext></msubsup> </math> and <math><msubsup><mi>k</mi> <mrow><mtext>LET</mtext></mrow> <mrow><msub><mtext>Al</mtext> <mn>2</mn></msub> <msub><mtext>O</mtext> <mn>3</mn></msub> <mo>:</mo> <mtext>Cr</mtext></mrow> </msubsup> </math> ). Modulated proton beams with different spread-out Bragg peak (SOBP) widths were used to evaluate the feasibility of the proposed two-dosimeter methodology. <math><msub><mi>η</mi> <mrow> <msub><mrow><mtext>RPLD</mtext> <mo>,</mo> <mspace></mspace> <mtext>Al</mtext></mrow> <mn>2</mn></msub> <msub><mtext>O</mtext> <mn>3</mn></msub> <mo>:</mo> <mtext>Cr</mtext></mrow> </msub> </math> decreased with increasing LET. <math><msubsup><mi>k</mi> <mrow><mtext>LET</mtext></mrow> <mtext>RPLD</mtext></msubsup> </math> and <math><msubsup><mi>k</mi> <mrow><mtext>LET</mtext></mrow> <mrow><msub><mtext>Al</mtext> <mn>2</mn></msub> <msub><mtext>O</mtext> <mn>3</mn></msub> <mo>:</mo> <mtext>Cr</mtext></mrow> </msubsup> </math> were fitted using exponential curves. Proton dosimetry based on the proposed methodology underestimated the absorbed dose to water by an averages of 1.88% and 3.21% for RPLD and Al₂O₃:Cr TLD, respectively. This demonstrated the feasibility of the proposed methodology. Although the method shows promise for LET correction, the uncertainties in the LET-dependent correction factors, namely 2.39% for the RPLD and 5.84% for the Al₂O₃:Cr TLD, indicate the need for further refinement.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"877-885"},"PeriodicalIF":1.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12339583/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144668660","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}

{"title":"Dosimetric comparison in various stereotactic radiosurgery modalities for trigeminal neuralgia treatment.","authors":"Mageshraja Kannan, Sathiyan Saminathan, C Prasobh, Aditya Gupta, Karuppusamy Arumugam, Nithin Bhaskar, Varatharaj Chandraraj, B Shwetha, K M Ganesh","doi":"10.1007/s12194-025-00935-w","DOIUrl":"10.1007/s12194-025-00935-w","url":null,"abstract":"<p><p>Trigeminal neuralgia (TN) is characterized by severe facial pain and is treated with medications, surgery, percutaneous procedures, and stereotactic radiosurgery (SRS). The Gamma Knife (GK) has historically been the gold standard for SRS in TN, with alternatives such as the CyberKnife (CK) and standard linear accelerator (LA) having recently emerged. This study compared GK, CK, and LA treatments for TN via dosimetric analysis. Twenty patients (10 right- and 10 left-sided) with TN were planned in the three modalities. Dosimetric parameters, including D_Max, D_Min, D_Mean, D_98%, D_90%, D_50%, D_30%, and V_4Gy, were evaluated. The statistical significance was assessed using paired t tests. The CK and LA plans achieved a 60 Gy target coverage comparable to the GK plan. The GK plan exhibited superior brain stem sparing and lower V_4Gy compared with CK (p = 0.0013) and LA (p = 0.0001). Significant differences in D_Min, D_98%, D_90%, D_50%, and D_30% were observed between GK and CK (p < 0.05) and GK and LA (p < 0.05), but not for the CK-LA comparisons. The brain stem dose parameters (D_0.03 cc, D_1%, and D_2%) were significantly lower in the GK plan (p < 0.05). The GK exhibited better normal tissue sparing and brain stem dose distribution than CK and LA, attributable partly to its higher beam count. CK and LA require more intricate planning times. Despite the established efficacy of GK, CK and LA offer viable alternatives, underscoring the need for further research on the clinical outcomes of TN treatment in the respective modalities.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"812-820"},"PeriodicalIF":1.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144627320","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}

{"title":"Effect of gold nanoparticles in radiation therapy of breast tumor: photon, electron, proton, neutron, helium, and carbon ions irradiation.","authors":"Murat Aygün, Zeynep Aygün","doi":"10.1007/s12194-025-00919-w","DOIUrl":"10.1007/s12194-025-00919-w","url":null,"abstract":"<p><p>It becomes an important issue to enhance the efficacy of radiotherapy in the treatment of solid tumors. This study aims to study the effect of gold nanoparticles on the breast tumor to evaluate in radiation therapy treatment and researches. For this, photon, charged particles (electron, proton, helium, and carbon ions) and neutron interaction parameters of the breast tumor at different incident energies are investigated using PHITS, SRIM Monte Carlo, Phy-X/PSD, ESTAR, and PAGEX softwares. The mass attenuation coefficient, linear attenuation coefficient, effective atomic number, buildup factors, Kerma, mass stoping power, radiation yield, range, half value layer, and mean free path of the breast without and with the gold nanoparticles are calculated and for meaningful evaluation mass attenuation coefficients are compared with Phy-X/PSD results. This comparison shows a good agreement, with all calculated values deviating less than 1.5%. The addition of Au resulted in an enhancement for the radiation absorption ability of the samples. The results present that the radiation absorption effect of breast tumor with gold nanoparticles is higher than the case without gold nanoparticles and increase with increasing rates of the gold nanoparticles. This study represents the first comprehensive investigation of charged, uncharged particles, and photons, as well as different gold nanoparticles ratios, conducted concurrently. The findings may lead to the advancement of more effective radiotherapy processes for treatments.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"670-687"},"PeriodicalIF":1.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144235522","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}

{"title":"Reduction of metal artifact from cryoprobe using tilt CT scanning with metal artifact reduction algorithms for CT-guided cryoablation.","authors":"Tomohiro Inoue, Noriyuki Umakoshi, Yusuke Matsui, Shota Tanaka, Takatsugu Yamauchi, Toshihiro Iguchi, Koji Tomita, Mayu Uka, Mitsugi Honda, Takao Hiraki","doi":"10.1007/s12194-025-00923-0","DOIUrl":"10.1007/s12194-025-00923-0","url":null,"abstract":"<p><p>Computed tomography (CT) is a simple and useful method for monitoring during cryoablation; however, image quality is degraded by artifacts caused by the cryoprobe used during treatment. We evaluated the effectiveness of combining tilt scanning and single-energy metal artifact reduction (SEMAR) to improve image quality. A cryoprobe was inserted into an agar phantom, and CT scans were performed at various angles (0°, 5°, 10°, 15°, and 20°) with and without metal artifact reduction. The relative artifact index, calculated using the CT value standard deviation, was used to evaluate the intensity. The strongest tip artifacts occurred at 0°. The relative artifact index decreased with increasing tilt angles. The tilted scanning reduced artifacts extending beyond the cryoprobe tip, but SEMAR demonstrated a limited effect on artifact reduction. The tilted scanning method may be a useful approach for improving the image quality around the cryoprobe without increasing the exposure dose.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"922-928"},"PeriodicalIF":1.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144318358","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}

{"title":"Content-based X-ray image retrieval using fusion of local neighboring patterns and deep features for lung disease detection.","authors":"Ankur Prakash, Vibhav Prakash Singh","doi":"10.1007/s12194-025-00932-z","DOIUrl":"10.1007/s12194-025-00932-z","url":null,"abstract":"<p><p>This paper introduces a Content-Based Medical Image Retrieval (CBMIR) system for detecting and retrieving lung disease cases to assist doctors and radiologists in clinical decision-making. The system combines texture-based features using Local Binary Patterns (LBP) with deep learning-based features extracted from pretrained CNN models, including VGG-16, DenseNet121, and InceptionV3. The objective is to identify the optimal fusion of texture and deep features to enhance the image retrieval performance. Various similarity measures, including Euclidean, Manhattan, and cosine similarities, were evaluated, with Cosine Similarity demonstrating the best performance, achieving an average precision of 65.5%. For COVID-19 cases, VGG-16 achieved a precision of 52.5%, while LBP performed best for the normal class with 85% precision. The fusion of LBP, VGG-16, and DenseNet121 excelled in pneumonia cases, with a precision of 93.5%. Overall, VGG-16 delivered the highest average precision of 74.0% across all classes, followed by LBP at 72.0%. The fusion of texture (LBP) and deep features from all CNN models achieved 86% accuracy for the retrieval of the top 10 images, supporting healthcare professionals in making more informed clinical decisions.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"785-804"},"PeriodicalIF":1.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144561530","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}

{"title":"Enhancing patient positioning precision: a comparative analysis of surface-guided radiation therapy systems.","authors":"Takeshi Ohno, Akihiko Kamiguchi, Miki Honda, Yoshinobu Shimohigashi, Akiko Kuraoka, Masahiko Toyota, Yoshifumi Oku, Yushi Niiyama, Tomomi Umeda, Shunichi Osako","doi":"10.1007/s12194-025-00937-8","DOIUrl":"10.1007/s12194-025-00937-8","url":null,"abstract":"<p><p>This study evaluated the positioning precision of various surface-guided radiation therapy (SGRT) systems to enhance patient setup accuracy in radiotherapy. A female torso phantom (Electronics Research & Development Corporation) was employed to assess and compare the accuracy of four SGRT devices: AlignRT (Vision RT, United Kingdom), Catalyst (C-rad AB, Sweden), VOXELAN (Electronics Research&Development Corporation, Okayama, Japan) and ExacTrac Dynamic (Brainlab, Germany). The external body contour was used as a reference surface image. For positioning precision measurement, the treatment couch was moved in predetermined directions, distances, and angles and the amount of movement evaluated by the SGRT system was compared to the known amount. The results demonstrated that while all SGRT systems-maintained positioning errors within nominal precision thresholds (1 mm for translational movements and 1° for rotational movements), significant inter-device variability was observed. AlignRT and ExacTrac Dynamic exhibited superior accuracy across all movement categories. In contrast, Catalyst demonstrated a higher fraction of positioning errors (16.0%) in the abdominal region, primarily due to lower camera resolution and the use of a deformable registration algorithm. VOXELAN displayed increased errors in the anterior-posterior direction, likely due to interpolation-based surface estimation. These findings highlight the need for standardized evaluation protocols to ensure fair comparisons and improve clinical adoption of SGRT systems.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"833-850"},"PeriodicalIF":1.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144668658","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}

{"title":"Evaluation of a retrieval-augmented generation system using a Japanese Institutional Nuclear Medicine Manual and large language model-automated scoring.","authors":"Yusuke Fukui, Yuhei Kawata, Kazumasa Kobashi, Yukihiro Nagatani, Harumi Iguchi","doi":"10.1007/s12194-025-00941-y","DOIUrl":"10.1007/s12194-025-00941-y","url":null,"abstract":"<p><p>Recent advances in large language models (LLMs) enable domain-specific question answering using external knowledge. However, addressing information that is not included in training data remains a challenge, particularly in nuclear medicine, where examination protocols are frequently updated and vary across institutions. In this study, we developed a retrieval-augmented generation (RAG) system using 40 internal manuals from a single Japanese hospital, each corresponding to a different examination in nuclear medicine. These institution-specific documents were segmented and indexed using a hybrid retrieval strategy combining dense vector search (text-embedding-3-small) and sparse keyword search (BM25). GPT-3.5 and GPT-4o were used with the OpenAI application programming interface (API) for response generation. The quality of the generated answers was assessed using a four-point Likert scale by three certified radiological technologists, of which one held an additional certification in nuclear medicine and another held an additional certification in medical physics. Automated evaluation was conducted using RAGAS metrics, including factual correctness and context recall. The GPT-4o model combined with hybrid retrieval achieved the highest performance, as per expert evaluations. Although traditional string-based metrics such as ROUGE and the Levenshtein distance poorly align with human ratings, RAGAS provided consistent rankings across system configurations, despite showing only a modest correlation with manual scores. These findings demonstrate that integrating examination-specific institutional manuals into RAG frameworks can effectively support domain-specific question answering in nuclear medicine. Moreover, LLM-based evaluation methods such as RAGAS may serve as practical tools to complement expert reviews in developing healthcare-oriented artificial intelligence systems.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"861-876"},"PeriodicalIF":1.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12339626/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144668659","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}

{"title":"Understanding nonlinearity in statistical image reconstruction for nuclear medicine.","authors":"Hiroyuki Shinohara","doi":"10.1007/s12194-025-00956-5","DOIUrl":"https://doi.org/10.1007/s12194-025-00956-5","url":null,"abstract":"<p><p>This study aimed to propose a definition of linearity in image reconstruction and demonstrate, by reductio ad absurdum, that the row-action maximum likelihood algorithm (RAMLA) and ordered subset expectation maximization (OSEM) are nonlinear when the number of iterations is low and linear approximation when the number of iterations increases. Block sequential regularized expectation maximization (BSREM) and one-step late maximum a posteriori expectation maximization (OSLEM), which serve as regularized versions of RAMLA and OSEM, respectively, remain nonlinear regardless of the number of iterations. Simulations using ideal two-dimensional (2D) parallel beam projections validated the results of the reductio ad absurdum proof. The three numerical phantoms were point source <math> <msub><mover><mi>x</mi> <mo>¯</mo></mover> <mn>1</mn></msub> </math> , represented by 2D Gaussian with a full width at half maximum of 3 pixels positioned at the center of disk background; point source <math> <msub><mover><mi>x</mi> <mo>¯</mo></mover> <mn>2</mn></msub> </math> , separated by 24 pixels along the x-axis; and point source <math> <msub><mover><mi>x</mi> <mo>¯</mo></mover> <mn>3</mn></msub> </math> , is the sum of <math> <msub><mover><mi>x</mi> <mo>¯</mo></mover> <mn>1</mn></msub> </math> and <math> <msub><mover><mi>x</mi> <mo>¯</mo></mover> <mn>2</mn></msub> </math> . In numerical experiment, when the difference of the area under the curve (AUC) or recovery for reconstructed image of <math> <msub><mover><mi>x</mi> <mo>¯</mo></mover> <mn>3</mn></msub> </math> and the summed reconstructed images of <math> <msub><mover><mi>x</mi> <mo>¯</mo></mover> <mn>1</mn></msub> </math> and <math> <msub><mover><mi>x</mi> <mo>¯</mo></mover> <mn>2</mn></msub> </math> is within reference values, or when AUC profiles are visually consistent, we defined image reconstruction as linear approximation. RAMLA and OSEM were deemed nonlinear when less than 20 iterations were performed with 64 subsets and linear approximation when <math><mrow><mo>≥</mo> <mn>20</mn></mrow> </math> iterations were used. By contrast, BSREM and OSLEM remained nonlinear. Algebraic reconstruction technique is linear and its regularized variant has a tendency of linear approximation, indicating that the same regularization function works differently in linear and nonlinear image reconstructions.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973553","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}

{"title":"Standardization of image quality in dynamic chest radiography: a determination procedure of individualized exposure settings based on the data from plain chest radiography.","authors":"Hiroaki Tsutsumi, Kazuki Takegami, Taiga Miura, Masaki Takemitsu, Ayumi Takegami, Shohei Kudomi, Sono Kanoya, Tsunahiko Hirano, Kazuto Matsunaga","doi":"10.1007/s12194-025-00955-6","DOIUrl":"https://doi.org/10.1007/s12194-025-00955-6","url":null,"abstract":"<p><p>In plain chest radiography (CXR), automatic exposure control (AEC) is generally used to standardize image quality. In contrast, dynamic chest radiography (DCR) systems preliminarily require manual setting of tube current-time products (mAs value). Body mass index (BMI) of patients is one of the indexes to determine the mAs value; however, standardization is limited because the anatomical differences are not considered. In this study, for further standardization, we propose a practical procedure to determine the individual mAs value of DCR using data obtained from CXR. To evaluate its effectiveness, we retrospectively analyzed 97 patients who underwent both CXR and DCR on the same day. DCR was performed in the following procedures: (1) obtain the relationship between the mAs value and the exposure indicator (S value, Konica Minolta, Inc.) obtained in CXR acquisition, (2) calculate the mAs value of DCR for the target S value of 2500, and (3) record the S value in DCR. The tube voltages for CXR and DCR were set to 120 kV and 100 kV with a copper filter, respectively. The differences in exposure doses were corrected by measuring the air kerma using a CdTe detector. As a result, the S values of CXR and DCR were 133 ± 13 (Coefficient of Variation (CV) = 9.9%) and 2629 ± 207 (CV = 7.9%), respectively, which were not dependent on the patient size based on evaluating the S values of five classified BMI groups. In conclusion, our proposed procedure enables standardization of the image quality in DCR by optimizing the patient-specific exposure conditions.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973645","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}