Deformable image registration using multi-resolution vision transformer for cardiac motion estimation [0.03%]
基于多分辨率视觉变换器的心脏运动变形图像配准方法
Xuesong Lu,Huaqiu Zhao,Hong Chen et al.
Xuesong Lu et al.
Deformable registration plays a crucial role in motion estimation from a sequence of cardiac magnetic resonance (CMR) imaging, which is good for the diagnosis and treatment of heart diseases. To address the challenges posed by intensity inh...
Foundation model-enhanced unsupervised 3D deformable medical image registration [0.03%]
基于基础模型的无监督三维医学图像配准方法
Zhuoran Jiang,Zhendong Zhang,Lei Xing et al.
Zhuoran Jiang et al.
Objective: Unsupervised deep learning has shown great promise in deformable image registration (DIR). These methods update model weights to optimize image similarity without requiring ground truth deformation vector field...
Predicting dose accumulation reliability at the planning stage, with an application to adaptive proton therapy [0.03%]
基于计划阶段预测剂量积累的可靠性及其在自适应质子治疗中的应用
Andreas Johan Smolders,Antony John Lomax,Francesca Albertini
Andreas Johan Smolders
Online adaptive proton therapy could benefit from reoptimization that considers the total dose delivered in previous fractions. However, the accumulated dose is uncertain because of deformable image registration (DIR) uncertainties. This wo...
Bi-level alignment with super-resolution head for unsupervised cephalometric landmark localization [0.03%]
基于超分辨率头的双层对齐方法在无监督颅面坐标的定位中的应用
Gang Lu,Xiangwen Wang,Mangang Xie et al.
Gang Lu et al.
Objective: Cephalometric landmark localization is of great clinical significance in diagnosing and treating patients with dental-maxillofacial deformities. Domain shifts across clinical centers significantly hinder model ...
Stefano Roberto Soleti,Pablo Ezequiel Dietz,Raul Esteve et al.
Stefano Roberto Soleti et al.
Objective: Total Body PET (TBPET) scanners have the potential to substantially reduce both acquisition time and administered radiation dose, owing to their high sensitivity. However, their widespread clinical adoption is ...
Exploiting harmonic signature of gas vesicles in amplitude-modulated singular value decomposition for ultrafast ultrasound molecular imaging [0.03%]
基于气泡谐振特性的幅度调制奇异值分解在超快分子成像中的应用
Ge Zhang,Henri Leroy,Nabil Haidour et al.
Ge Zhang et al.
Ultrafast nonlinear ultrasound imaging of gas vesicles (GVs) promises high-sensitivity biomolecular visualization for applications such as targeted molecular imaging and real-time tracking of gene expression. However, separating GV-specific...
How chain length influences x-ray-induced fragmentation of iodine-doped DNA oligomers [0.03%]
聚合物链长对掺碘脱氧核糖核酸寡聚体的X射线诱导碎片化的影响研究
Ouassim Hocine Hafiani,Friederike Krüger,Marta Berholts et al.
Ouassim Hocine Hafiani et al.
Objective: Incorporating iodine into DNA bases offers a strategy to enhance radiotherapy. The iodine increases the photoabsorption cross‑section and can promote DNA disruption and cell death in cancerous tissue. In this ...
Corrigendum: How the sensitivity of TOF-PET depends on the interplay between the temporal and spatial detector resolutions and the resolution required for the imaging task (2025 Phys. Med. Biol. 70 245001) [0.03%]
更正事项：时间飞行型PET灵敏度依赖于探测器的时间和空间分辨率与成像任务所需的分辨率之间的相互作用的敏感性如何(2025Phys.Med.Biol.70245001)
Johan Nuyts,Michel Defrise,Christian Morel et al.
Johan Nuyts et al.
Published Erratum
Physics in medicine and biology. 2026 Jan 7;71(1). DOI:10.1088/1361-6560/ae31ca 2026
Three dimensional segmentation of abdominal arteries and veins using vision transformers and domain adaptation [0.03%]
基于视觉变换器和领域自适应的三维腹部动静脉分割
Panpan Wu,Yurou Xu,Ziping Zhao et al.
Panpan Wu et al.
Accurate segmentation of abdominal three-dimensional (3D) vascular structures from computed tomography (CT) scans is crucial for clinical applications yet remains challenging due to dependency on large annotated datasets through effective p...
Automatic lung dose painting for functional lung avoidance radiotherapy through multi-modality-guided dose prediction [0.03%]
基于多模态引导的剂量预测自动化肺剂量描绘用于功能性避肺放射治疗
Tianyu Xiong,Guangping Zeng,Zhi Chen et al.
Tianyu Xiong et al.
Objective: This study aims to develop a multi-modality-guided dose prediction (MMDP)-based auto-planning algorithm for Functional Lung Avoidance Radiotherapy (FLART) guided by voxel-wise lung function images. ...