用3D打印模型校准血管超声，提升肝脏手术中术中影像与术前CT的配准精度。
Optimization-Based Calibration for Intravascular Ultrasound Volume Reconstruction
- 基于3D打印体模的优化校准方法，提升追踪数据与术前CT对齐精度。
- 在猪肝活体实验中，校准误差0.88~1.80mm，配准误差3.40~5.71mm。
- 适用于肝脏手术中术中超声与术前CT的实时精准融合，增强导航可靠性。
术中超声图像在肝脏手术中因视野有限和解剖结构复杂而难以解读。弥合术前与术中数据的差距对于有效手术引导至关重要。三维血管超声（3D Intravascular Ultrasound, IVUS）通过重建整个器官，为术前计算机断层扫描（CT）与术中IVUS图像之间的配准提供了可能。本文提出一种基于优化的校准方法，采用3D打印体模实现高精度的3D IVUS体积重建。该方法确保了跟踪的IVUS数据与术前CT图像的精确对齐，提升了术中导航能力。我们在活体猪肝图像上验证了该方法，校准误差为0.88至1.80毫米，3D IVUS数据与对应CT扫描间的配准误差为3.40至5.71毫米。本方法为校准与体积重建提供了可靠且准确的手段，可用于肝脏手术中术中超声与术前CT图像的配准，从而增强术中引导效果。
原文摘要 · Abstract (English)
Intraoperative ultrasound images are inherently challenging to interpret in liver surgery due to the limited field of view and complex anatomical structures. Bridging the gap between preoperative and intraoperative data is crucial for effective surgical guidance. 3D IntraVascular UltraSound (IVUS) offers a potential solution by enabling the reconstruction of the entire organ, which facilitates registration between preoperative computed tomography (CT) scans and intraoperative IVUS images. In this work, we propose an optimization-based calibration method using a 3D-printed phantom for accurate 3D Intravascular Ultrasound volume reconstruction. Our approach ensures precise alignment of tracked IVUS data with preoperative CT images, improving intraoperative navigation. We validated our method using in vivo swine liver images, achieving a calibration error from 0.88 to 1.80 mm and a registration error from 3.40 to 5.71 mm between the 3D IVUS data and the corresponding CT scan. Our method provides a reliable and accurate means of calibration and volume reconstruction. It can be used to register intraoperative ultrasound images with preoperative CT images in the context of liver surgery, and enhance intraoperative guidance.
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