CSSL-ISRVN: consistency self-supervised learning integrating ISTANet and sensitivity refinement-enhanced variational network for accelerated MRI reconstruction [0.03%]
一种结合ISTANet和敏感性精化变分网络的加速MRI重建一致性自监督学习方法(CSSL-ISRVN)
Jizhong Duan,Yuqian Chen,Haibo Tao et al.
Jizhong Duan et al.
Objective: Magnetic resonance imaging is essential in clinical practice due to its non-invasive nature and superior soft-tissue contrast. However, long acquisition times remain a major limitation, leading to motion artifa...
Deep learning-based 4D robust optimization of intensity-modulated proton therapy for lung cancer radiotherapy [0.03%]
基于深度学习的用于肺癌放射治疗的强度调制质子疗法的4D鲁棒优化方法研究
Muyu Liu,Sheng Chang,Bo Pang et al.
Muyu Liu et al.
Intensity-modulated proton therapy (IMPT) provides steep dose gradients but is vulnerable to range uncertainties and respiratory motion, leading to interplay effects in lung cancer radiotherapy. This study aimed to develop a deep learning-b...
Detector design for a high-resolution and high-sensitivity breast-dedicated multiplexed PET (mPET) scanner [0.03%]
一种高分辨率、高灵敏度乳腺专用多路正电子发射断层扫描仪(mPET)的探测器设计
Wen He,Craig S Levin
Wen He
Objective: We are developing a high-resolution, high-sensitivity breast-dedicated PET scanner that can image the distribution of multiple tracers simultaneously, referred to as multiplexed PET (mPET). This requires the de...
Toward fully automated pre-implantation planning for cervical cancer brachytherapy: a template-guided multi-criteria optimization framework for catheter placement and dose distribution [0.03%]
向宫颈癌后装治疗的全自动胚胎植入前规划迈进：一种基于模板引导的多标准优化框架，用于导管放置和剂量分布
Shiqi Lin,Yi Ouyang,Huikuan Gu et al.
Shiqi Lin et al.
Image-guided intracavitary/interstitial brachytherapy is standard for locally advanced cervical cancer (LACC), yet the lack of pre-implantation planning often leads to suboptimal catheter placement and dose distribution. A template-guided, ...
Detection of errors in organs at risk delineations for radiotherapy for clinical trial reviews [0.03%]
勾画放射治疗临床试验中风险器官的错误检测方法
Clea Dronne,Catharine H Clark,Xavier Loizeau et al.
Clea Dronne et al.
As part of treatment planning for radiotherapy, the Organs at Risk (OARs) are delineated on the patient's CT scan. This work aims to develop a method to measure variability in OAR delineations and detect errors. 

Approach. A normat...
Mesh-based detailed skeletal models for the ICRP reference pediatric individuals: development and dosimetric implications [0.03%]
基于网格的ICRP参考儿童个体详细骨骼模型的发展及剂量学含义
Chansoo Choi,Robert J Dawson,Bangho Shin et al.
Chansoo Choi et al.
Objective: The skeleton contains the red bone marrow (RBM) and the endosteum, tissues linked to radiation-induced leukemia and bone cancer, making their consideration essential in radiation dosimetry. Although adult skele...
A DNA damage calculation method for large-scale tumor models in boron neutron capture therapy [0.03%]
大规模肿瘤模型下硼中子俘获治疗的DNA损伤计算方法
Sheng Liao,Jiahui Liu,Ming Wang et al.
Sheng Liao et al.
Objective, Boron neutron capture therapy (BNCT) is considered a binary, targeted radiotherapy modality that can effectively eradicate tumor cells via the 10B(n,α)7Li nuclear reaction. However, because conventional Monte Carlo approaches su...
A 3D-printed anthropomorphic breast phantom with realistic anatomy and attenuation properties for spatially resolved dosimetry in mammography [0.03%]
一种用于乳房X线照相术空间分辨剂量学的具有逼真解剖和衰减特性的三维打印类人乳腺体模
Yeqi Liu,Jiahao Wang,Ankang Hu et al.
Yeqi Liu et al.
Objective: Accurate assessment of radiation dose in mammography requires physical phantoms that capture realistic breast anatomy and spatial dose variation. However, most commercially available phantoms are anatomically s...
Continuous administration of alpha radionuclide therapy: a proof-of-concept based on black hole like-dynamics [0.03%]
连续给予α核素治疗：基于黑洞动力学的理论验证研究
Marco P Soares Dos Santos,Rodrigo Bernardo,Inês A Marques et al.
Marco P Soares Dos Santos et al.
Objective: Targeted radionuclide therapy using alpha-particle-emitting radiopharmaceuticals (alpha-RPT) is increasingly recognized as an effective, safe and economically viable clinical treatment. However, it is restricte...
Multi-label medical diagnosis using spatial-disease feature condensation and Kolmogorov-Arnold layers [0.03%]
基于空间疾病特征凝聚和Kolmogorov-Arnold层的多标签医疗诊断方法研究
Lang Yuan,Yingyu Chen,Ziyuan Yang et al.
Lang Yuan et al.
Due to the frequent co-occurrence of multiple diseases in patients, automated multi-label diagnosis (MLD) of medical images remains a challenging yet clinically important task, particularly due to two major challenges: (1) feature confusion...