PCReg: a coarse-to-fine registration framework using point cloud completion for intraoperative liver deformation correction [0.03%]
一种基于点云补全的粗到精配准框架用于术中肝脏变形矫正
Mingyang Liu,Xinzhe Du,Peng Liu et al.
Mingyang Liu et al.
Purpose: In image-guided liver surgery (IGLS), the preoperative information can be overlaid onto the intraoperative scene by registering the 3D preoperative model with the intraoperative surface reconstructed from the lap...
EchoAgent: guideline-centric reasoning agent for echocardiography measurement and interpretation [0.03%]
基于指南的心脏超声测量和解读推理智能体
Matin Daghyani,Lyuyang Wang,Nima Hashemi et al.
Matin Daghyani et al.
Purpose: Echocardiographic interpretation requires video-level reasoning and guideline-based measurement analysis, which current deep learning models for cardiac ultrasound do not support. We present EchoAgent, a framewor...
Laparoscopic liver point cloud registration via hyperbolic-topology interaction [0.03%]
基于双曲拓扑的腹腔镜肝脏点云配准方法研究
Yixuan Wang,Yue Dai,Xiangyue Yang et al.
Yixuan Wang et al.
Purpose: In laparoscopic liver resection, precise registration between preoperative 3D models and intraoperative laparoscopic point clouds remains challenging due to liver deformation, respiratory motion, and limited visi...
António Ribeiro,Miguel Marques,Tânia Baptista et al.
António Ribeiro et al.
Purpose: Surgical navigation systems rely on accurate registration between pre-operative models and intraoperative data. Currently, registration quality is assessed manually after the registration stage, either by digitiz...
Vision-based augmented reality guidance for setting up robot-assisted spine surgery [0.03%]
基于视觉的增强现实技术在机器人辅助脊柱外科手术定位中的应用研究
Blanca Inigo,Sungwoo Kim,Sue Min Cho et al.
Blanca Inigo et al.
Purpose: Robot-assisted procedures improve precision and patient outcomes, but setup often requires tedious manual positioning due to a lack of intuitive guidance. Augmented reality (AR) can assist with coarse alignment b...
Deep-Motion-Net: GNN-based volumetric liver shape reconstruction from single-view 2D projections [0.03%]
基于图神经网络的单视图二维投影体积肝脏形状重建模型
Isuru Wijesinghe,Michael Nix,Arezoo Zakeri et al.
Isuru Wijesinghe et al.
Purpose: Internal anatomical motion challenges precise radiation delivery during external beam radiotherapy. Estimating and compensating for anatomical motion are essential for improving planned dose delivery to target vo...
LumenGSLAM: online physically based rendering with Gaussian Splatting for robust endoscopic reconstruction and tracking [0.03%]
基于高斯点偶的物理渲染内窥场景实时重建与跟踪方法
Francesco Leni,Chiara Lena,Zhehua Mao et al.
Francesco Leni et al.
Purpose: Realistic online 3D reconstruction from endoscopic video is essential for intraoperative inspection and navigation. However, existing approaches often neglect realistic light modeling, rely on offline optimizatio...
Imaging skins: stretchable Gd2O2S:Tb X-ray detectors for image-guided surgery [0.03%]
可拉伸的Gd2O2S:TB X射线检测器在影像引导手术中的应用
Rozenn Raffaut,Robert Moss,Agostino Stilli et al.
Rozenn Raffaut et al.
Purpose: With the growing demands for diverse X-ray imaging applications, there is a need for the development of flexible X-ray detectors to enable conformity to curved surfaces, improving spatial resolution, reducing X-r...
Sum-of-Checks: structured reasoning for surgical safety with large vision-language models [0.03%]
基于大型视觉语言模型的外科手术安全结构化推理(检查之和)
Weiqiu You,Cassandra Goldberg,Amin Madani et al.
Weiqiu You et al.
Purpose: Accurate assessment of the Critical View of Safety (CVS) during laparoscopic cholecystectomy is essential to prevent bile duct injury, a complication associated with significant morbidity and mortality. While lar...
A multi-view pipeline and benchmark dataset for 3D hand pose estimation in surgery [0.03%]
用于外科手术手部姿态估计的多视角流水线和基准数据集
Valery Fischer,Alan Magdaleno,Anna-Katharina Calek et al.
Valery Fischer et al.
Purpose: Accurate 3D hand pose estimation supports surgical applications such as skill assessment and robot-assisted interventions. However, surgical environments pose severe challenges, including intense and localized li...