Transformer-encoded nnU-Net with local region perceptron and contrastive learning (TLC-nnUNet) for multiple brain metastasis detection and delineation [0.03%]
基于变换器编码的局部区域感知器和对比学习的nnU-Net（TLC-nnUNet）在多发脑转移检测和勾画中的应用
Kangning Zhang,Gregory Arthur Szalkowski,Scott Soltys et al.
Kangning Zhang et al.
Accurate detection and segmentation of multiple brain metastases (BMs) on MRI remain challenging, particularly for those involving small lesions (longest axis length
Enhancing pre-clinical microbeam radiation therapy capabilities at PETRA III beamline P61A through high-precision beam delivery [0.03%]
通过高精度束流传输提高PETRA III光束线P61A在预临床Microbeam辐射疗法能力
Malin Kügele,Vincent de Rover,Abdul Malek Hamada et al.
Malin Kügele et al.
Microbeam radiation therapy (MRT) exploits spatially fractionated, micrometer-scale X-ray beam arrays that deliver high-dose (peak) and low-dose (valley) regions. At beamline P61A of the PETRA III synchrotron (DESY, Hamburg, Germany), MRT d...
A CT radiomics signature enables risk stratification and survival prediction in colorectal liver metastases [0.03%]
基于CT影像组学的特征能够对结直肠癌肝转移患者的预后进行风险分层和生存预测
Quang-Hien Kha,Phat Ky Nguyen,Minh Huu Nhat Le et al.
Quang-Hien Kha et al.
Colorectal liver metastases (CRLM) represent a major clinical challenge because outcomes after hepatic resection vary widely between patients. Preoperative risk stratification remains limited, and radiomics may provide non invasive imaging ...
Robust organ mapped dose: using multiple image registrations to identify deformation uncertainty in radiation dose mapping [0.03%]
基于多重图像配准的器官不确定性剂量分布计算方法
Christopher Thompson,Stina Svensson,Robin Prestwich et al.
Christopher Thompson et al.
Abstract
Objective
To assist with reirradiation (reRT) treatment planning, we propose a robust organ-mapped dose (ROAD) method for cumulative dose estimation within critical organs-at-risk (OARs), incorporating deformable image regi...
Vision transformer model-based dose prediction and beam angle optimization for BNCT [0.03%]
基于视觉变换器模型的BNCT剂量预测与束流角度优化方法研究
Yuliang Zong,Changran Geng,Gensheng Qian et al.
Yuliang Zong et al.
Objective: A good BNCT treatment plan, which can deliver higher tumor dose and lower doses to organs at risk, critically depends on the accuracy of dose prediction and optimization strategy. Existing clinical Treatment Pl...
Performance evaluation of S-PET, a compact, LYSO/BGO phoswich detector small animal PET prototype [0.03%]
S-PET性能评估：一种紧凑型LYSO/BGO双层探测器的小动物PET原型机
Hang Yang,Wen He,Xin Zhao et al.
Hang Yang et al.
This work aims to evaluate the performance characteristics of S-PET, a compact, phoswich detector small animal PET prototype developed at Shenzhen Bay Laboratory (SZBL), in accordance with the National Electrical Manufacturers Association (...
Synthesizing 4D image phantoms spanning multiple respiratory cycles from heterogeneous data sources [0.03%]
基于异构数据源合成包含多个呼吸周期的4D图像模型
Elodie Lugez
Elodie Lugez
The development and validation of motion tracking algorithms require realistic four-dimensional (4D) image datasets with accompanying ground truth (GT) motion information. However, such datasets spanning multiple respiratory cycles are scar...
Age-related changes of multi-parametric quantitative imaging across the adult lifespan in the lumbar vertebra [0.03%]
成人一生中腰椎多参数定量影像的年龄相关性变化
Yihao Guo,Weixiang Xia,Zihan Yao et al.
Yihao Guo et al.
Objective
To introduce a Gradient Recalled Echo (GRE)-based method for multi-parametric imaging and investigate changes with age across the adult lifespan in the lumbar spine. 
Approach
Dual flip angles (FA) chemical shift-encod...
The UF/MSK pediatric mesh-based computational human phantom library: applications to organ dosimetry in computed tomography [0.03%]
基于网格的儿科计算人体模型库UF/MSK：在计算机断层扫描中的器官剂量学应用
Jared Baggett,Robert J Dawson,Laura Dinwiddie et al.
Jared Baggett et al.
Objective: To develop a mesh-based computational human phantom library of pediatric males and females that encompass the body size distributions as seen in the current U.S. ...
Near real-time adaptive planning for intra-fraction motion in proton therapy: a beamlet-free Monte Carlo approach [0.03%]
基于束流的蒙特卡罗方法实现粒子治疗过程中的实时自适应放疗计划
Valentine Dormal,Danah Pross,Ana Maria Barragan Montero et al.
Valentine Dormal et al.
Intra-fraction anatomical variations can compromise treatment quality, and while real-time adaptation of proton therapy plans during delivery offers a potential solution, its implementation remains challenging, particularly when integrating...