Radiological Physics and Technology最新文献_第5页

A study of differences in absorbed dose estimates by images used in dosimetry of Lu-177-DOTATATE therapy. lu177 - dotatate治疗剂量学中使用的图像吸收剂量估计差异的研究。

IF 1.7

Radiological Physics and Technology Pub Date : 2025-06-01 Epub Date: 2025-03-20 DOI: 10.1007/s12194-025-00898-y

Yui Masaki, Yasuo Yamashita, Takuro Isoda, Toyoyuki Kato, Shingo Baba

{"title":"A study of differences in absorbed dose estimates by images used in dosimetry of Lu-177-DOTATATE therapy.","authors":"Yui Masaki, Yasuo Yamashita, Takuro Isoda, Toyoyuki Kato, Shingo Baba","doi":"10.1007/s12194-025-00898-y","DOIUrl":"10.1007/s12194-025-00898-y","url":null,"abstract":"In Lu-177-labeled peptide receptor radionuclide therapy, dosimetry has recently gained importance for assessing side effects and treatment responses. However, no standard method has been established yet. In this retrospective study, we compared the kidney-absorbed doses of 24 treatments with Lu-177-DOTATATE using three methods: a planar method using only planar images, a hybrid method using planar and SPECT/CT images, and a SPECT/CT method using only SPECT/CT images. In the Planar method, the ROI was defined from 2D whole-body planar images and calculated using the MIRD method. In the Hybrid method, the VOI was defined from CT images and the VOIs were placed in the 2D planar image as ROIs, which were calculated using the MIRD method. For the SPECT/CT method, the VOI was defined from CT images and the mean absorbed dose was estimated on a voxel basis. The absorbed dose estimated with the Planar method (15.2 ± 5.81 Gy) was significantly higher than the estimates with the other two methods (Hybrid: 2.93 ± 1.33 Gy, SPECT/CT: 3.81 ± 0.93 Gy) (p < 0.05). The Hybrid and SPECT/CT methods exhibited the strongest correlation. The Planar method demonstrated the highest variability in estimated values. The use of 2D planar images alone tended to overestimate the absorbed dose compared to the other methods, depending on the definition of the ROIs and the characteristics of the analysis software. This suggests that a combined approach using SPECT/CT and planar images is preferable for dosimetry.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"477-483"},"PeriodicalIF":1.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671386","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

Comprehensive plan quality assessment of simplified volumetric-modulated arc therapy for lung stereotactic body radiotherapy. 肺立体定向放射治疗中简化体积调制弧线治疗的综合方案质量评价。

IF 1.7

Radiological Physics and Technology Pub Date : 2025-06-01 Epub Date: 2025-05-09 DOI: 10.1007/s12194-025-00907-0

Yuya Tatsuno, Naritoshi Mukumoto, Tomoya Ishida, Yasuyuki Shimizu, Yoshihiko Yamamoto, Satoshi Seno, Takeaki Ishihara, Daisuke Miyawaki, Ryohei Sasaki

{"title":"Comprehensive plan quality assessment of simplified volumetric-modulated arc therapy for lung stereotactic body radiotherapy.","authors":"Yuya Tatsuno, Naritoshi Mukumoto, Tomoya Ishida, Yasuyuki Shimizu, Yoshihiko Yamamoto, Satoshi Seno, Takeaki Ishihara, Daisuke Miyawaki, Ryohei Sasaki","doi":"10.1007/s12194-025-00907-0","DOIUrl":"10.1007/s12194-025-00907-0","url":null,"abstract":"In lung stereotactic body radiation therapy, optimizing plan quality, including dosimetric quality and plan complexity, is paramount for mitigating adverse effects and enhancing dose delivery accuracy. This study evaluated the plan quality of dynamic conformal arc-based volumetric-modulated arc therapy (d-VMAT) as a simplified VMAT compared to conventional VMAT (c-VMAT) across various prescription isodose lines (PIL) and planning target volume (PTV) sizes. Twenty inoperable non-small cell lung cancer patients were retrospectively analyzed (PTV: 7.6-68.7 cm3). The prescribed dose comprised 48 Gy delivered in four fractions, encompassing 95% of the PTV, with the PIL ranging from 60 to 90% in 10% increments, using a 6X-flattening filter-free beam. The d-VMAT and c-VMAT plans were generated for each patient and PIL setting. Dose indices, including the conformity index (CI), gradient index (GI), and plan complexity, were assessed for each plan. The GI of d-VMAT closely mirrored that of c-VMAT at 60% and 70% PIL. Nevertheless, d-VMAT exhibited significantly higher GI values than c-VMAT at 80% and 90% PIL, particularly for smaller PTV sizes. Notably, d-VMAT demonstrated reduced plan complexity across all PIL compared to c-VMAT. Clinically, significant differences in CI and dose coverage between d-VMAT and c-VMAT were not observed across varying PIL settings in the range of 60-80%. The dose to the organs at risk with d-VMAT was comparable to that with c-VMAT, except at 90% PIL. In conclusion, the simplification of VMAT treatment plan using d-VMAT demonstrates superior plan quality across various PTV sizes at 60% and 70% PIL.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"547-555"},"PeriodicalIF":1.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12103334/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144017516","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

Development of estimation method for T₁ and T₂ values using the relaxivity of contrast agent and coagulant for a magnetic resonance imaging phantom. 利用造影剂和凝固剂的弛豫性开发磁共振成像模型的 T1 和 T2 值估算方法。

IF 1.7

Radiological Physics and Technology Pub Date : 2025-06-01 Epub Date: 2025-03-23 DOI: 10.1007/s12194-025-00900-7

Hiroki Okada, Norikazu Koori, Hatsune Shimizu, Shohei Yamamoto, Tetsuya Komatsuzaki, Hiraku Fuse, Kota Sasaki, Shin Miyakawa, Kenji Yasue, Masato Takahashi

{"title":"Development of estimation method for T1 and T2 values using the relaxivity of contrast agent and coagulant for a magnetic resonance imaging phantom.","authors":"Hiroki Okada, Norikazu Koori, Hatsune Shimizu, Shohei Yamamoto, Tetsuya Komatsuzaki, Hiraku Fuse, Kota Sasaki, Shin Miyakawa, Kenji Yasue, Masato Takahashi","doi":"10.1007/s12194-025-00900-7","DOIUrl":"10.1007/s12194-025-00900-7","url":null,"abstract":"The T1 and T2 values of magnetic resonance imaging phantoms used by researchers should be equivalent to those of the target tissue. However, this is difficult to achieve because of variations in the phantoms depending on the type and concentration of contrast agents and coagulants. The aim of this study was to elucidate the utility of a determination equation derived using the relaxivity of the contrast agent and coagulant. We prepared phantoms using 0.05-10 mmol L-1 contrast agent (Gadovist®; Bayer Yakuhin, Ltd., Osaka, Japan) and 0.1-5.0 wt% agar (agar, powder [010-15815]; Fujifilm Wako Pure Chemical Corporation, Osaka, Japan) and measured their T1 and T2 values. Determination equations for T1 and T2 values were derived using the relaxivity calculated from the T1 and T2 values of the contrast agent and coagulant. Subsequently, the determined values were compared with the measured values. The error rate of the determined T1 and T2 values were 7.66 ± 6.60% and 5.66 ± 4.05%, respectively, with correlation coefficients of 0.996 and 0.999. These results indicate that this method enables easy and highly accurate estimation of T1 and T2 values in MRI phantoms.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"469-476"},"PeriodicalIF":1.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143693880","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

Scatter and beam hardening effect corrections in pelvic region cone beam CT images using a convolutional neural network. 基于卷积神经网络的骨盆锥束CT图像散射和束硬化效应校正。

IF 1.7

Radiological Physics and Technology Pub Date : 2025-06-01 Epub Date: 2025-04-04 DOI: 10.1007/s12194-025-00896-0

Soya Yagi, Keisuke Usui, Koichi Ogawa

{"title":"Scatter and beam hardening effect corrections in pelvic region cone beam CT images using a convolutional neural network.","authors":"Soya Yagi, Keisuke Usui, Koichi Ogawa","doi":"10.1007/s12194-025-00896-0","DOIUrl":"10.1007/s12194-025-00896-0","url":null,"abstract":"The aim of this study is to remove scattered photons and beam hardening effect in cone beam CT (CBCT) images and make an image available for treatment planning. To remove scattered photons and beam hardening effect, a convolutional neural network (CNN) was used, and trained with distorted projection data including scattered photons and beam hardening effect and supervised projection data calculated with monochromatic X-rays. The number of training projection data was 17,280 with data augmentation and that of test projection data was 540. The performance of the CNN was investigated in terms of the number of photons in the projection data used in the training of the network. Projection data of pelvic CBCT images (32 cases) were calculated with a Monte Carlo simulation with six different count levels ranging from 0.5 to 3 million counts/pixel. For the evaluation of corrected images, the peak signal-to-noise ratio (PSNR), the structural similarity index measure (SSIM), and the sum of absolute difference (SAD) were used. The results of simulations showed that the CNN could effectively remove scattered photons and beam hardening effect, and the PSNR, the SSIM, and the SAD significantly improved. It was also found that the number of photons in the training projection data was important in correction accuracy. Furthermore, a CNN model trained with projection data with a sufficient number of photons could yield good performance even though a small number of photons were used in the input projection data.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"457-468"},"PeriodicalIF":1.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143781444","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

Generalizable AI approach for detecting projection type and left-right reversal in chest X-rays. 用于胸部x光片投影类型和左右反转检测的通用人工智能方法。

IF 1.7

Radiological Physics and Technology Pub Date : 2025-05-23 DOI: 10.1007/s12194-025-00914-1

Yukino Ohta, Yutaka Katayama, Takao Ichida, Akane Utsunomiya, Takayuki Ishida

{"title":"Generalizable AI approach for detecting projection type and left-right reversal in chest X-rays.","authors":"Yukino Ohta, Yutaka Katayama, Takao Ichida, Akane Utsunomiya, Takayuki Ishida","doi":"10.1007/s12194-025-00914-1","DOIUrl":"https://doi.org/10.1007/s12194-025-00914-1","url":null,"abstract":"The verification of chest X-ray images involves several checkpoints, including orientation and reversal. To address the challenges of manual verification, this study developed an artificial intelligence (AI)-based system using a deep convolutional neural network (DCNN) to automatically verify the consistency between the imaging direction and examination orders. The system classified the chest X-ray images into four categories: anteroposterior (AP), posteroanterior (PA), flipped AP, and flipped PA. To evaluate the impact of internal and external datasets on the classification accuracy, the DCNN was trained using multiple publicly available chest X-ray datasets and tested on both internal and external data. The results demonstrated that the DCNN accurately classified the imaging directions and detected image reversal. However, the classification accuracy was strongly influenced by the training dataset. When trained exclusively on NIH data, the network achieved an accuracy of 98.9% on the same dataset; however, this reduced to 87.8% when evaluated with PADChest data. When trained on a mixed dataset, the accuracy improved to 96.4%; however, it decreased to 76.0% when tested on an external COVID-CXNet dataset. Further, using Grad-CAM, we visualized the decision-making process of the network, highlighting the areas of influence, such as the cardiac silhouette and arm positioning, depending on the imaging direction. Thus, this study demonstrated the potential of AI in assisting in automating the verification of imaging direction and positioning in chest X-rays. However, the network must be fine-tuned to local data characteristics to achieve optimal performance.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144129034","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

Development of myocardial perfusion imaging from coronary angiography for clinical application. 冠状动脉造影心肌灌注成像在临床应用中的进展。

IF 1.7

Radiological Physics and Technology Pub Date : 2025-05-17 DOI: 10.1007/s12194-025-00917-y

Yuya Sekikawa, Yusuke Miyazaki, Takuya Sakaguchi

引用次数: 0

Development of a tissue water fraction analysis method using quantitative parameter mapping for magnetic resonance imaging. 磁共振成像中定量参数映射的组织水含量分析方法的发展。

IF 1.7

Radiological Physics and Technology Pub Date : 2025-05-13 DOI: 10.1007/s12194-025-00913-2

Shunsuke Uotani, Yuki Kanazawa, Akihiro Haga, Yo Taniguchi, Masahiro Takizawa, Motoharu Sasaki, Masafumi Harada

{"title":"Development of a tissue water fraction analysis method using quantitative parameter mapping for magnetic resonance imaging.","authors":"Shunsuke Uotani, Yuki Kanazawa, Akihiro Haga, Yo Taniguchi, Masahiro Takizawa, Motoharu Sasaki, Masafumi Harada","doi":"10.1007/s12194-025-00913-2","DOIUrl":"https://doi.org/10.1007/s12194-025-00913-2","url":null,"abstract":"The myelin sheath is a multilayered structure that surrounds the axons of nerve cells. It acts as an insulator to ensure rapid and accurate transmission of electrical signals in the nervous system. Myelin water fraction (MWF) serves as a biomarker for the myelin sheath. Several methods for determining the MWF have been proposed; however, the inconsistency of MWF values is a challenge. In this study, we attempted to derive the MWF using quantitative parameter mapping (QPM). QPM ensures reproducibility by maintaining consistent imaging conditions across different scanners, enabling stable acquisition of quantitative parameters. This is expected to improve the reliability of the MWF measurements. Additionally, a significant correlation between QPM-derived parameters and the MWF has been reported. Five healthy volunteers were included in this study. QPM-MRI was performed using a 3-Tesla MR scanner with a three-dimensional radio frequency-spoiled steady-state gradient-echo (3D-RSSG) method. Using the derived quantitative values, pseudo-intensity images were generated for arbitrary continuous echo time values. Subsequently, a model equation for the brain tissue was defined. The generated signals were fitted with triexponential curve to estimate the amplitudes of each tissue component. Finally, the MWF was calculated using the amplitude ratio of each tissue. The mean MWF values for white matter and gray matter were 8.20 ± 4.97% and 7.99 ± 3.45%, respectively. This method using QPM allows for 3D data collection within a scan time applicable to standard clinical examinations and provides high accuracy in relaxation time estimation, thereby enabling stable quantification of MWF and suggesting its potential for clinical implementation.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144057612","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

Impact of discrepancies between CT numbers of brain-tissue-equivalent density plug and actual brain tissue on dose calculation accuracy. 脑组织等效密度塞CT值与实际脑组织值差异对剂量计算精度的影响。

IF 1.7

Radiological Physics and Technology Pub Date : 2025-05-12 DOI: 10.1007/s12194-025-00908-z

Shogo Tsunemine, Shuichi Ozawa, Minoru Nakao, Satoru Sugimoto, Tetsuya Tomida, Michitoshi Ito, Masumi Numano, Hideyuki Harada

{"title":"Impact of discrepancies between CT numbers of brain-tissue-equivalent density plug and actual brain tissue on dose calculation accuracy.","authors":"Shogo Tsunemine, Shuichi Ozawa, Minoru Nakao, Satoru Sugimoto, Tetsuya Tomida, Michitoshi Ito, Masumi Numano, Hideyuki Harada","doi":"10.1007/s12194-025-00908-z","DOIUrl":"https://doi.org/10.1007/s12194-025-00908-z","url":null,"abstract":"This study quantitatively evaluated the impact of differences in computed tomography (CT) numbers and elemental compositions between commercially available brain-tissue-equivalent density plugs (BDPs) and actual brain tissue on dose calculations in a radiation therapy treatment planning system (RTPS). The mass density and elemental composition of BDP were analyzed using elemental analysis and X-ray fluorescence spectroscopy. The CT numbers of the BDP and actual brain tissue were measured and compared, with effective atomic numbers (EANs) calculated based on compositional analysis and the International Commission on Radiological Protection Publication 110 data for brain tissues. The theoretical CT numbers were derived using the stoichiometric CT number calibration (SCC) method. The dose calculations were performed using the modified CT number-to-relative electron density (RED) and mass density (MD) conversion tables in Eclipse v16.1, employing AAA and Acuros XB algorithms, employing the physical material table in AcurosXB_13.5. The dose metrics D2%, D50%, and D98% were evaluated. Significant differences in elemental composition were found, particularly in carbon (73.26% in BDP vs. 14.3% in brain tissue) and oxygen (12.52% in BDP vs. 71.3% in brain tissue). The EANs were 6.6 for BDP and 7.4 for brain tissue. The mean CT numbers were 23.30 HU for the BDP and 37.30 HU for brain tissue, a 14 HU discrepancy. Nevertheless, dose calculation deviations were minimal, typically within ± 0.2%, with a maximum discrepancy of 0.6% for D98%. Although CT numbers and elemental compositions exhibited notable differences, their impact on dose calculations in the evaluated RTPS algorithms was negligible.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143990267","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

Quantification of uncertainties in reference and relative dose measurements, dose calculations, and patient setup in modern external beam radiotherapy. 量化现代体外放射治疗中参考和相对剂量测量、剂量计算和患者设置的不确定性。

IF 1.7

Radiological Physics and Technology Pub Date : 2025-03-01 Epub Date: 2024-11-14 DOI: 10.1007/s12194-024-00856-0

Naoki Kinoshita, Morihito Shimizu, Kana Motegi, Yusuke Tsuruta, Toru Takakura, Hiroshi Oguchi, Chie Kurokawa

{"title":"Quantification of uncertainties in reference and relative dose measurements, dose calculations, and patient setup in modern external beam radiotherapy.","authors":"Naoki Kinoshita, Morihito Shimizu, Kana Motegi, Yusuke Tsuruta, Toru Takakura, Hiroshi Oguchi, Chie Kurokawa","doi":"10.1007/s12194-024-00856-0","DOIUrl":"10.1007/s12194-024-00856-0","url":null,"abstract":"Uncertainties in the steps of external beam radiotherapy (EBRT) affect patient outcomes. However, few studies have investigated major contributors to these uncertainties. This study investigated factors contributing to reducing uncertainty in delivering a dose to a target volume. The EBRT process was classified into four steps: reference dosimetry, relative dosimetry [percentage depth doses (PDDs) and off-center ratios (OCRs)], dose calculations (PDDs and OCRs in a virtual water phantom), and patient setup using an image-guided radiation therapy system. We evaluated the uncertainties for these steps in conventionally fractionated EBRT for intracranial disease using 4-, 6-, and 10-MV flattened photon beams generated from clinical linear accelerators following the Guide to the Expression of Uncertainty in Measurement and an uncertainty evaluation method with uncorrected deflection. The following were the major contributors to these uncertainties: beam quality conversion factors for reference dosimetry; charge measurements, chamber depth, source-to-surface distance, water evaporation, and field size for relative dosimetry; dose calculation accuracy for the dose calculations; image registration, radiation-imaging isocenter coincidence, variation in radiation isocenter due to gantry and couch rotation, and intrafractional motion for the patient setup. Among the four steps, the relative dosimetry and dose calculation (namely, both penumbral OCRs) steps involved an uncertainty of more than 5% with a coverage factor of 1. In the EBRT process evaluated herein, the uncertainties in the relative dosimetry and dose calculations must be reduced.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"58-77"},"PeriodicalIF":1.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11876197/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142630162","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

Development of an image quality evaluation system for bedside chest X-ray images using scatter correction processing. 基于散射校正处理的床边胸部x线图像质量评价系统的开发。

IF 1.7

Radiological Physics and Technology Pub Date : 2025-03-01 Epub Date: 2025-01-11 DOI: 10.1007/s12194-025-00879-1

Kazuya Mori, Toru Negishi

{"title":"Development of an image quality evaluation system for bedside chest X-ray images using scatter correction processing.","authors":"Kazuya Mori, Toru Negishi","doi":"10.1007/s12194-025-00879-1","DOIUrl":"10.1007/s12194-025-00879-1","url":null,"abstract":"In plain radiography, scattered X-ray correction processing (Virtual Grid: VG) is used to estimate and correct scattered rays in images. We developed an objective evaluation system for bedside chest X-ray images using VG and investigated its usefulness. First, we trained the blind/referenceless image spatial quality evaluator (BRISQUE) on 200 images obtained by portable chest radiography. We then evaluated optimal chest phantom VG images as well as those that deviated from the VG setting conditions using BRISQUE. Furthermore, we conducted a subjective evaluation using the mean opinion score (MOS) and established an objective evaluation system for VG images. Finally, the degree of agreement between the MOS subjectively evaluated by 14 radiological technologists and that determined by the objective evaluation system for 100 clinical images obtained by portable chest radiography was calculated using Cohen's kappa coefficient. The correlation coefficient between the BRISQUE score and MOS for chest phantom images was - 0.96 (p < 0.05). The two scores showed a very high linear correlation, indicating the potential of the BRISQUE score as an alternative to MOS. The Cohen's kappa coefficient for the objective evaluation system using the optimal conversion table was 0.42. Conversely, there was a very high detection rate of 82.86% for poor-quality images. An objective evaluation system for bedside chest X-ray images using VG that uses no-reference image quality evaluation helps provide proper image quality. Furthermore, such a system can be constructed with a small amount of training data, which increases the possibility of introducing it to a variety of facilities.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"249-257"},"PeriodicalIF":1.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142967239","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