Physics-constrained dual-domain network for CBCT reconstruction from orthogonal X-rays in gynecologic radiotherapy [0.03%]
基于物理的双域神经网络用于妇科放疗正交X射线CBCT重建
Yuan Gao,Mingzhe Hu,Shaoyan Pan et al.
Yuan Gao et al.
Background: Daily cone-beam computed tomography (CBCT) is widely used for image-guided radiotherapy (IGRT) in gynecologic (GYN) cancer to verify patient setup and visualize inter-fraction pelvic anatomical variations, whe...
Decomposition-based harmonization for quantitative PET imaging across scanners and radiotracers [0.03%]
基于分解的定量正电子发射断层扫描影像跨设备和放射性示踪剂融合方法
Shilun Zhao,Qi Huang,Binbin Nie et al.
Shilun Zhao et al.
Background: Quantitative positron emission tomography (PET) is widely applied in oncology, neuroscience, and clinical practice. However, its quantitative accuracy is often compromised by systematic variability arising fro...
Development and evaluation of an in vivo dose-based monitoring system for electron FLASH radiation therapy [0.03%]
电子FLASH辐射治疗的在体剂量监测系统的发展与评估
Justin DeFrancisco,Matthew Richeson,Tomaj Javidtash et al.
Justin DeFrancisco et al.
Background: FLASH radiotherapy requires further preclinical and clinical investigation to establish its biological effectiveness and define optimal beam parameters. In conventional (CONV) radiotherapy, redundant beam term...
A novel optical respiratory gating system with a hybrid phase-amplitude algorithm for spot-scanning proton therapy [0.03%]
一种用于点扫描质子治疗的新型光学呼吸门控系统与混合相移幅算法
Mikhail A Belikhin,Alexander E Shemyakov,Irina N Zavestovskaya et al.
Mikhail A Belikhin et al.
Background: Respiratory motion remains a major challenge in thoracic and abdominal proton treatments, causing interplay effects and dose distortions. In synchrotron-based systems, conventional gating significantly prolong...
Gamma Knife treatment planning using knowledge-based reinforcement learning [0.03%]
基于知识增强学习的伽玛刀治疗计划研究
Christopher Huynh,Björn Ahlgren,Beibei Zhang et al.
Christopher Huynh et al.
Background: Inverse planning is often used for Gamma Knife radiosurgery, allowing clinicians to mathematically specify desired clinical objectives and dose limits. The objectives are controlled by weights that are manuall...
Development and characterization of a novel, small animal external beam irradiator using a clinical high dose rate brachytherapy source [0.03%]
一种新型小型动物外照射仪的开发和表征，采用临床高剂量率组织间插植放射源
Daniel Cecchi,Sacha Freeman,Greg Warren et al.
Daniel Cecchi et al.
Background: Pre-clinical in vivo characterization is a necessary step in the translation of novel radiotherapeutic interventions to clinical application. In vivo irradiations using a radioactive source like Ir-192 are cha...
Deep learning-based dose prediction for MR-guided prostate SIB: Supporting rapid feasibility assessment and adaptive editing margin selection [0.03%]
基于深度学习的MRI引导前列腺SIB剂量预测：支持快速可行性评估和自适应编辑边缘选择
Hao-Wen Cheng,Wen-Chih Tseng,Guanghua Yan et al.
Hao-Wen Cheng et al.
Background: The template-based treatment planning workflow in the Unity magnetic resonance-guided linear accelerator (MR-Linac) helps facilitate the treatment planning process; however, dose optimization and calculation r...
Surface-guided analysis of breast shape changes during postoperative radiotherapy by using a functional map framework [0.03%]
基于功能地图框架的术后放疗过程中乳腺形变分析
Pierre Galmiche,Hyewon Seo,Yvan Pin et al.
Pierre Galmiche et al.
Background: While positioning errors during radiotherapy are increasingly well-characterized and accounted for in the Planning Target Volume (PTV), little is known about the shape and volume changes of the breast in the c...
Observational Study
Medical physics. 2026 Jul;53(7):e70532. DOI:10.1002/mp.70532 2026
Monte Carlo assessment of a treatment planning system for intraoperative radiotherapy in the presence of tissue heterogeneities [0.03%]
含组织不均匀性情况下用于术中放疗的治疗计划系统的蒙特卡罗评估
Aurora Corso,F Javier Jimenez-Albericio,Michele Avanzo et al.
Aurora Corso et al.
Background: Radiance is a Monte Carlo-based treatment planning software integrated into the Intrabeam system for 50-kVp X-rays intraoperative radiotherapy (IORT). ...
Medical image local augmentation via text- and mask-guided diffusion model [0.03%]
基于文本和掩码引导的医学图像局部增强扩散模型
Pei Cao,Donghao Li,Xinlu Li et al.
Pei Cao et al.
Background: Medical images serve as the core basis for precision diagnosis and treatment, yet their scarcity severely hampers the advancement of intelligent medical image analysis. Data augmentation for medical images rep...