Yi Lv, Yu Ning, Yu Shen, Junchen Wang, Mingbo Zhang
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Interactive functions and image segmentation enable users to freely select regions of interest (ROI) and adjust image color and opacity. The system was evaluated on a 3D printing femur model, a neck phantom and human carotid arteries. The surface point clouds segmented from the reconstructed 3D volumes were rigidly registered with the models whose CT scans were available. The surface matching error was used as the reconstruction error. The 3D volumes were reconstructed with different voxel sizes of (0.5 mm, 1.0 mm, 1.5 mm). The reconstruction errors of the femur and trachea model were (0.85 mm, 0.99 mm, 1.43 mm) and (0.96 mm, 1.17 mm, 1.37 mm), respectively. The 3D reconstruction on real human carotid arteries has confirmed the clinical feasibility.","PeriodicalId":106730,"journal":{"name":"2022 WRC Symposium on Advanced Robotics and Automation (WRC SARA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Real-time Interactive 3D Ultrasound Imaging System\",\"authors\":\"Yi Lv, Yu Ning, Yu Shen, Junchen Wang, Mingbo Zhang\",\"doi\":\"10.1109/WRCSARA57040.2022.9903990\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Real-time 3D ultrasound (US) imaging has attracted more attention since it can display spatial 3D images of tissues and organs in real time to provide important information for diagnosis and intervention. In this study, Bezier interpolation and PNN reconstruction algorithms are combined to achieve real-time repeatable 3D reconstruction. A real-time interactive 3D US imaging system with a 2DB-mode probe is developed. The system employs an optical measuring equipment to collect six degrees of freedom (6-DoF) poses of the US probe. 2D US image acquisition using a calibrated probe with the pose information is performed to reconstruct a 3D volume. A multi-thread scheme is proposed to achieve real-time data acquisition, overlapped 3D reconstruction and volume visualization. Interactive functions and image segmentation enable users to freely select regions of interest (ROI) and adjust image color and opacity. The system was evaluated on a 3D printing femur model, a neck phantom and human carotid arteries. The surface point clouds segmented from the reconstructed 3D volumes were rigidly registered with the models whose CT scans were available. The surface matching error was used as the reconstruction error. The 3D volumes were reconstructed with different voxel sizes of (0.5 mm, 1.0 mm, 1.5 mm). The reconstruction errors of the femur and trachea model were (0.85 mm, 0.99 mm, 1.43 mm) and (0.96 mm, 1.17 mm, 1.37 mm), respectively. 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引用次数: 0
摘要
实时三维超声成像(US)由于能够实时显示组织器官的空间三维图像,为诊断和干预提供重要信息而受到越来越多的关注。本研究将Bezier插值和PNN重建算法相结合,实现实时可重复的三维重建。研制了一种具有2db模式探头的实时交互式三维超声成像系统。该系统采用光学测量设备收集美国探头的6个自由度(6-DoF)姿态。使用带有姿态信息的校准探针进行二维美国图像采集,以重建三维体。提出了一种实现实时数据采集、重叠三维重建和体可视化的多线程方案。交互功能和图像分割使用户可以自由选择感兴趣区域(ROI),调整图像颜色和不透明度。该系统在3D打印股骨模型、颈部假体和人颈动脉上进行了评估。从重建的三维体中分割的表面点云与CT扫描可用的模型进行严格配准。采用曲面匹配误差作为重构误差。以不同体素尺寸(0.5 mm、1.0 mm、1.5 mm)重建三维体块。股骨和气管模型的重建误差分别为(0.85 mm, 0.99 mm, 1.43 mm)和(0.96 mm, 1.17 mm, 1.37 mm)。在真实人颈动脉上的三维重建证实了该方法的临床可行性。
A Real-time Interactive 3D Ultrasound Imaging System
Real-time 3D ultrasound (US) imaging has attracted more attention since it can display spatial 3D images of tissues and organs in real time to provide important information for diagnosis and intervention. In this study, Bezier interpolation and PNN reconstruction algorithms are combined to achieve real-time repeatable 3D reconstruction. A real-time interactive 3D US imaging system with a 2DB-mode probe is developed. The system employs an optical measuring equipment to collect six degrees of freedom (6-DoF) poses of the US probe. 2D US image acquisition using a calibrated probe with the pose information is performed to reconstruct a 3D volume. A multi-thread scheme is proposed to achieve real-time data acquisition, overlapped 3D reconstruction and volume visualization. Interactive functions and image segmentation enable users to freely select regions of interest (ROI) and adjust image color and opacity. The system was evaluated on a 3D printing femur model, a neck phantom and human carotid arteries. The surface point clouds segmented from the reconstructed 3D volumes were rigidly registered with the models whose CT scans were available. The surface matching error was used as the reconstruction error. The 3D volumes were reconstructed with different voxel sizes of (0.5 mm, 1.0 mm, 1.5 mm). The reconstruction errors of the femur and trachea model were (0.85 mm, 0.99 mm, 1.43 mm) and (0.96 mm, 1.17 mm, 1.37 mm), respectively. The 3D reconstruction on real human carotid arteries has confirmed the clinical feasibility.