Radiological Physics and Technology放射物理与技术
Radiological Physics and Technology(英文缩写 RADIOL PHYS TECHNOL),ISSN 1865-0333,eISSN 1865-0341,中文译名:放射物理与技术 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-10-01 至 2026-09-30，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 未收录 | N/A |
| 2022 | 1.600 | N/A |
| 2023 | 1.700 | Q3 |
| 2024 | 1.500 | Q3 |
| 2025 | 1.600 | Q3 |
Radiological Physics and Technology 最新收录文献
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2. Inter-software variability in CT organ-dose calculation under identical scan conditions: implications for users and dose evaluation in the Japanese population.
PMID:日期:2026-10-03Organ dose calculation software offers a convenient way to estimate organ and effective doses in computed tomography (CT) for radiation risk assessment. However, even under identical scan conditions the estimates differ among software packages, and users must understand these differences when applying the results. We quantified the magnitude and causes of inter-software differences and evaluated typical doses for the Japanese population. Three packages-NCICT, WAZA-ARI v2, and VirtualDose CT-were compared under identical conditions (120 kV, 1 s rotation, pitch 1, no tube current modulation) for head, chest, and abdomen-pelvis scans. Tube current was matched to the national median dose indices (Japan DRLs 2025), and the body size to the Japanese adult average (male 170 cm/70 kg; female 160 cm/50 kg). Excluding muscle, organ doses differed among software by up to 28% (male) and 47% (female) relative to WAZA-ARI v2. Muscle was a separate outlier: the muscle dose from the size-adjustable phantom of NCICT was about 90% lower than that from the other two packages. Scanner-dependent differences appeared only in WAZA-ARI v2 (up to 19%), and a ± 2 cm change in scan position markedly altered doses to organs at the scan boundary. Effective doses for the Japanese population were approximately 2.2 mSv (head), 9.6 mSv (chest), and 13.0 mSv (abdomen-pelvis), all within the ranges reported by UNSCEAR 2020/2021. Because all packages have been examined against measurements previously, these differences arise from phantom anatomy and size and from calculation algorithms rather than from inaccuracy; users should interpret results with awareness of this variability.
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3. Interfractional variability and reproducibility of accumulated dose in cervical cancer radiotherapy associated with bladder volume.
PMID:日期:2026-10-01Pelvic anatomical variations during radiotherapy for cervical cancer may alter delivered dose distributions, affecting target coverage and organ-at-risk (OAR) sparing. This study evaluated interfractional dose variability and the impact of bladder volume on accumulated dose delivery in patients treated with helical tomotherapy. A retrospective analysis of ten cervical cancer patients treated with helical tomotherapy was performed. Accumulated doses were generated using Accuray PreciseART via deformable registration of planning computed tomography (pCT) and daily MVCT images. Percentage dose deviations between planned and accumulated doses were analyzed using paired t-tests, while differences among three bladder volume groups were evaluated using linear mixed-effects models. Accumulated PTV doses were significantly lower than planned, with the greatest reduction in D (-3.36%, p < 0.001). Among OARs, the bowel showed the largest reduction, particularly D (-5.18%, p < 0.001). Medium and large bladder volumes were associated with greater reductions in bowel D and D than small volumes, with no clear difference between the medium and large groups. Increasing bladder volume also showed a non-significant trend toward greater PTV dose reduction, while bowel dose deviations gradually decreased during treatment. Interfractional anatomical variation caused measurable deviations in accumulated dose, particularly for PTV D and bowel D. Although medium and large bladder volumes were associated with slightly greater bowel dose reductions than small volumes, the between-group differences were modest, with no significant difference between the medium and large groups. These findings support individualized and reproducible bladder preparation.
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4. Comparison of deformable image registration algorithms for planning CT and CBCT in prostate cancer patients treated with external beam radiation therapy.
PMID:日期:2026-09-29This study evaluated the performance of three categories of deformable image registration (DIR), namely intensity-based, spline-based, and hybrid methods, for planning CT (pCT)-to-cone-beam CT (CBCT) registration to evaluate the accuracy of different DIR approaches for pCT-to-CBCT registration and assess their potential applicability to CBCT-based adaptive radiotherapy. Fourteen default registration methods were compared with the Anatomically Constrained Deformation Algorithm (ANACONDA) using a CIRS phantom and five prostate cancer patients. Registration accuracy was assessed using Target Registration Error (TRE), Dice Similarity Coefficient (DSC), and image quality metrics. Deformed CT (dCT) consistently outperformed CBCT, demonstrating substantial improvements in image quality across Phantom and patient studies. ANACONDA achieved the highest registration accuracy, with TRE < 0.2 cm for prostate landmarks and DSC > 0.90 for target volumes and organs-at-risk. ANACONDA outperformed intensity-based and spline-based registration methods, providing improved image quality and anatomical registration accuracy, thereby facilitating more accurate image guidance for adaptive radiation in pelvic radiotherapy.
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5. Transition from a detector-dose-based to a CNR-based cerebral angiography system: evaluation of image quality and radiation dose.
PMID:日期:2026-09-29To evaluate the image quality and clinical radiation dose of a cerebral angiography system featuring contrast-to-noise ratio (CNR)-based exposure control for neurovascular endovascular treatment (EVT). Image quality was evaluated using a quality control phantom under fluoroscopy and digital subtraction angiography (DSA). Clinical radiation dose was retrospectively compared between a conventional angiography system using detector dose-based exposure control (61 cerebral aneurysm EVT procedures) and a new angiography system using CNR-based exposure control (99 procedures). Patient entrance reference air kerma (K) and air kerma-area product (P) were analyzed. The new system demonstrated significantly higher observer scores than the conventional system for both fluoroscopy and DSA, including spatial resolution, low-contrast resolution, and dynamic range. The median total K was 1818 [1301-2744] mGy with the new system and 2283 [1580-3184] mGy with the conventional system, representing a 20% reduction (p < 0.05). Conversely, the median total P increased by 26% (173 [120-237] vs. 137 [93-207] Gy·cm, p < 0.05), but remained below the current Japanese diagnostic reference level for cerebral aneurysm EVT. Compared with the conventional system, the new angiography platform demonstrated superior image quality under phantom conditions and was associated with a 20% reduction in total K during cerebral aneurysm EVT. Although the total P increased by 26%, this increase may have reflected differences in the magnification strategy between the two systems, suggesting a need for further optimization.
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6. Hybrid geometric and evolutionary optimization framework for radiosurgery planning: isocenter selection and angle optimization for multiple brain metastases.
PMID:日期:2026-09-23This study aims to develop and evaluate the performance of Collimator Angles Optimization Software version 2 (CAOS-v2) for stereotactic radiosurgery (SRS) planning in patients with multiple brain metastases. Treatment planning was performed in Eclipse v13.6 with RapidArc on the TrueBeam STx. The primary objective is to reduce the volume of normal brain tissue receiving 12 Gy (V12Gy) while maintaining overall plan quality. CAOS-v2 determines the isocenter location using the Smoothed Weiszfeld Algorithm to compute the geometric median of the target centers, in contrast to traditional centroid-based placement. The software subsequently employs a genetic algorithm to optimize couch-collimator angle pairs, reducing the impact of the island blocking problem. Twenty-six clinical cases were retrospectively replanned using CAOS-v2 with a single-fraction prescription dose of 18 Gy applied to all treatment plans. Plans were evaluated using Conformity Index (CI), Gradient Index (GI), Gradient Measure (GM), organs at risk (OARs), and the V12Gy of healthy brain tissue. Application of CAOS-v2 resulted in a reduction of V12Gy by 17.6-38.1% compared to the conventional planning approach. The CI remained stable, indicating consistent dose uniformity across treatment plans. No increase in dose to OARs was observed. Additionally, both the GI and GM significantly decreased, indicating improved dose fall-off characteristics attributable to CAOS-v2. Integration of CAOS-v2 into the planning workflow significantly reduces normal brain dose in multi-metastatic SRS without compromising conformity or gradient performance, supporting its clinical applicability for automated treatment parameter optimization.
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7. Evaluation of the image quality index with MRI motion artifacts on tumor segmentation using deep learning.
PMID:日期:2026-09-22Motion artifacts substantially degrade magnetic resonance imaging (MRI) quality and can reduce diagnostic accuracy. Although deep learning-based segmentation has achieved high performance, the degree of motion-related degradation that begins to impair tumor contour delineation and the corresponding image quality criteria remains unclear. This study investigated the relationship between image quality and the agreement of segmentation outputs obtained from original and motion-degraded MRI images in deep learning-based brain tumor segmentation and explored tentative reference values for image quality metrics. Tumor contours were manually delineated on fluid-attenuated inversion recovery images from patients with glioma, and a segmentation model was tested. Motion artifact images were then generated through simulation, and the relationship between the generated tumor contours and image quality was analyzed. The tumor contours were evaluated using the Dice similarity coefficient (DSC), while image quality was assessed using mean absolute error (MAE), root mean squared error (RMSE), structural similarity index measure (SSIM), and peak signal-to-noise ratio (PSNR). No strong correlations were observed between DSC and the evaluated image quality metrics. However, SSIM showed a positive association with visual assessment, suggesting that it better reflects tumor boundary visibility and perceived image degradation than other indices. In particular, an SSIM of 0.8 corresponded to a visual assessment score of 2 or higher, indicating a quality level at which observers can visually distinguish tumor boundaries. Because these findings may depend on the number of cases and the segmentation model used, further validation with clinical images is required to establish practical image quality criteria.
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8. Quantifying three-dimensional displacement of cardiac implantable electronic devices and implications for safety margins in radiotherapy.
PMID:日期:2026-09-21This study aimed to quantitatively evaluate the three-dimensional (3D) displacement of cardiac implantable electronic devices (CIEDs) during radiotherapy and derive safety margins. Sixteen treatment courses (13 patients, 262 fractions) were retrospectively analyzed. Daily device displacement was quantified using orthogonal 2D kV images relative to clinical bone-matching. To evaluate manual registration uncertainty, the intraclass correlation coefficient and minimal detectable change (MDC) were calculated. To assess the impact of patient positioning, displacements were compared between arm-up and arm-down groups. Planning organ at risk volume (PRV) margins were derived from systematic and random errors. A maximum 3D displacement of 24 mm was observed. Manual registration demonstrated good to excellent reproducibility for the primary translational axes. The maximum MDC was 3.6 mm for the 3D displacement vector. While overall displacement distributions showed no significant differences between arm positions, extreme medial displacement significantly increased in the arm-up group (p < 0.05). The calculated PRV margins reached a maximum of 7.3 mm in the longitudinal direction for the arm-up group. Throughout the radiotherapy course, CIEDs can undergo displacement independently of the skeletal structure. The PRV margins derived here provide a quantitative basis for pre-treatment dose evaluation. The observed range of displacement can inform treatment planning and supports verification of the device position at each fraction via image-guided radiotherapy.
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9. Game engine-driven high-precision collision simulation system for radiation therapy: development and clinical evaluation.
PMID:日期:2026-09-15Pre-treatment verification is essential to prevent physical collisions between the gantry and the patient during radiation therapy. Conventionally, physical "dry runs" have been performed to ensure safety; however, these procedures can create bottlenecks in clinical workflows. This study aimed to develop virtual collision simulation software using a freely available development environment and to evaluate its performance through phantom studies and verification of clinical treatment plans. High-fidelity three-dimensional (3D) models of the linear accelerator and various immobilization devices were constructed. The software was developed in the Unity environment and incorporated a collision detection system and a function to predict treatment couch coordinates. Collision detection accuracy was assessed using phantom experiments by comparing simulated results with those obtained from the actual linear accelerator. The accuracy of couch coordinate predictions and collision detection performance were retrospectively evaluated using clinical data from 71 treatment plans. All collision prediction errors in the phantom experiments fell conservatively within a 3.00° margin prior to physical contact, and couch coordinate predictions were within 1 cm of the actual values. In the evaluation of clinical plans, the software achieved a true-positive rate of 100% and a negative predictive value of 100%. The developed software achieved high-precision collision detection despite being created in a free platform, thereby ensuring both high performance and broad reproducibility. By serving as an effective pre-screening tool and reducing the need for physical dry runs, this cost-effective and accessible solution streamlines workflow and enhances patient safety.
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10. Consensus approach to shape regularization in cross-modality cardiac segmentation.
PMID:日期:2026-09-15Adapting segmentation models to new imaging modalities without original training data is known as source-free domain adaptation (SFDA). SFDA is often unstable and limited to two-dimensional slices, causing inconsistencies and errors between adjacent slices. This problem is apparent in cardiac segmentation when adapting from computed tomography (CT) to magnetic resonance imaging (MRI), as these inconsistencies lead to three-dimensional anatomical distortions. In this study, we analyzed a postprocessing framework for SFDA-based cardiac segmentation using a probabilistic consensus map (PCMap). Inspired by traditional probabilistic atlases, PCMap is an average anatomical map generated from all initial segmentations, intended to enforce structural consistency. This framework was evaluated on CT and MRI volumes from the publicly available multi-modality whole-heart segmentation dataset. PCMap-guided refinement increased shape regularity and reduced interslice discontinuities but did not consistently improve voxel-wise accuracy. A correlation of 0.803 between reference quality and refinement performance was found, showing that the choice of reference volume strongly affects refinement performance.