A partial augmented reality system with live ultrasound and registered preoperative MRI for guiding robot-assisted radical prostatectomy

前列腺切除术 增强现实 矢状面 超声波 机器人 医学 图像配准 计算机科学 人工智能 影像引导手术 磁共振成像 计算机视觉 前列腺 放射科 图像(数学) 内科学 癌症
作者
Golnoosh Samei,Keith Tsang,Claudia Kesch,Julio Lobo,Soheil Hor,Omid Mohareri,Silvia D. Chang,S. Larry Goldenberg,Peter C. Black,Septimiu E. Salcudean
出处
期刊:Medical Image Analysis [Elsevier BV]
卷期号:60: 101588-101588 被引量:42
标识
DOI:10.1016/j.media.2019.101588
摘要

We propose an image guidance system for robot assisted laparoscopic radical prostatectomy (RALRP). A virtual 3D reconstruction of the surgery scene is displayed underneath the endoscope’s feed on the surgeon’s console. This scene consists of an annotated preoperative Magnetic Resonance Image (MRI) registered to intraoperative 3D Trans-rectal Ultrasound (TRUS) as well as real-time sagittal 2D TRUS images of the prostate, 3D models of the prostate, the surgical instrument and the TRUS transducer. We display these components with accurate real-time coordinates with respect to the robot system. Since the scene is rendered from the viewpoint of the endoscope, given correct parameters of the camera, an augmented scene can be overlaid on the video output. The surgeon can rotate the ultrasound transducer and determine the position of the projected axial plane in the MRI using one of the registered da Vinci instruments. This system was tested in the laboratory on custom-made agar prostate phantoms. We achieved an average total registration accuracy of 3.2 ± 1.3 mm. We also report on the successful application of this system in the operating room in 12 patients. The average registration error between the TRUS and the da Vinci system for the last 8 patients was 1.4 ± 0.3 mm and average target registration error of 2.1 ± 0.8 mm, resulting in an in vivo overall robot system to MRI mean registration error of 3.5 mm or less, which is consistent with our laboratory studies.
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