Fast MRI of bones in the knee - An AI-driven reconstruction approach for adiabatic inversion recovery prepared ultra-short echo time sequences [0.03%]
基于人工智能的膝关节骨快速MRI重建方法-超短回波时间下的脉冲激励反相位恢复序列法
Philipp Hans Nunn,Henner Huflage,Jan-Peter Grunz et al.
Philipp Hans Nunn et al.
Purpose: Inversion recovery prepared ultra-short echo time (IR-UTE)-based MRI enables radiation-free visualization of osseous tissue. However, achieving a sufficient signal-to-noise ratio typically requires long acquisiti...
Evaluation of detector performance for bremsstrahlung measurement in total skin electron treatment [0.03%]
评估轫致辐射探测器在全身电子束皮肤治疗中的性能
Indra J Das,Serpil K Dogan
Indra J Das
Purpose: Bremsstrahlung measurement in total skin electron treatment (TSET) is challenging due to low signal at extended distances (3-5 m). The suitability of various detectors for picocoulomb measurements to both electro...
Spectral CT in radiotherapy: physics, principles, clinical applications, and future outlooks [0.03%]
谱CT在放疗中的物理原理、临床应用及未来前景
Shuoyang Wei,Qizhen Zhu,Mengya Guo et al.
Shuoyang Wei et al.
Background: Conventional single-energy CT (SECT) is limited in differentiating materials with similar Hounsfield units. Unlike previous reviews that mainly focused on the physics and general oncologic applications of dual...
Integration of site-specific deep learning models for automated OAR segmentation in craniospinal proton therapy: a geometric and dosimetric analysis [0.03%]
基于特定解剖结构的深度学习模型在头颈脊髓质子治疗中的自动OAR勾画及几何和剂量学分析
Sanjib Gayen,Dayananda Shamurailatpam Sharma,Gaganpreet Singh et al.
Sanjib Gayen et al.
Purpose: This study evaluated the feasibility of integrating RayStation deep learning auto-segmentation (DLS) models-originally trained for adult head and neck (HN), thorax-abdomen (TA), and male pelvis (MP) regions-for a...
DARL-Net: Deformable-asymmetric residual learning and learnable non-local attention-based low-dose CT image denoising [0.03%]
基于可变形残差学习和可学习非局部注意力的低剂量CT图像降噪方法
Naragoni Saidulu,Anirban Dasgupta,Priya Ranjan Muduli
Naragoni Saidulu
Background: Low-dose computed tomography (LDCT) imaging is widely regarded as an effective approach for reducing patients' exposure to X-ray radiation. However, the quality of the CT images may be compromised by the prese...
Impact of National Recovery and Resilience Plan funding on SBRT technology in Italy: Insights from a national survey of medical physicists [0.03%]
意大利国家复兴和复原力计划对SRBT技术的影响：医学物理学家全国调查的见解
Paolo Caricato,Nicola Padula,Francesca Romana Giglioli et al.
Paolo Caricato et al.
Purpose: This study provides a nationwide assessment of stereotactic body radiotherapy (SBRT) technical standards in Italy in the National Recovery and Resilience Plan (NRRP) era, from the perspective of medical physicist...
Radiobiology: A Geant4 Extended Example for voxel-based ion-beam transport and radiobiological endpoints [0.03%]
辐射生物学：基于体素的离子束输运及辐射生物终点的Geant4拓展实例研究
Alberto Sciuto,Giada Petringa,Davide Chiappara et al.
Alberto Sciuto et al.
Purpose: This work presents radiobiology, an official open-source Geant4 Extended Example providing a lightweight, modular workflow for voxel-based ion-beam transport studies in which dosimetric quantities and radiobiolog...
Measurement- and simulation-based evaluation and optimization of fetal radiation exposure for fluoroscopy-guided interventions demonstrated for a splenic artery aneurysm [0.03%]
基于测量和仿真的评估和优化胎儿辐射暴露以进行介入手术造影技术检测脾动脉瘤案例分析
Hannah J Eggimann,Enrique Alejandre-Lafont,Regula S von Allmen et al.
Hannah J Eggimann et al.
Introduction: A splenic artery aneurysm (SAA) during pregnancy poses a potentially life-threatening risk to patients and is challenging to treat. One treatment option is fluoroscopy-guided embolization, which is often met...
Proton RBE for in vivo model systems: LET and dose dependencies for early and late biological endpoints [0.03%]
质子相对生物效应的活体模型系统：不同LET和剂量下的早期和晚期生物终点指标
Erlend Lyngholm,Camilla H Stokkevåg,Christian P Karger et al.
Erlend Lyngholm et al.
Purpose: Proton therapy applies a constant relative biological effectiveness (RBE) of 1.1, despite increasing evidence that RBE varies with physical and biological factors such as linear energy transfer (LET), dose, and t...
AI-augmented thyroid scintigraphy for robust classification of disease [0.03%]
基于人工智能的甲状腺闪烁图对疾病的稳健分类
Maziar Sabouri,Ghasem Hajianfar,Alireza Rafiei Sardouei et al.
Maziar Sabouri et al.
Thyroid scintigraphy is vital for diagnosing thyroid disorders, yet deep learning (DL) models in this domain often struggle with limited, imbalanced datasets. This study investigates the impact of three data augmentation strategies includin...