Registration between 2D and 3D Ultrasound Images to Track Liver Blood Vessel Movement

Author:

Masuda Kohji1ORCID,Shimizu Taichi2,Nakazawa Takumi2,Edamoto Yoshihiro3

Affiliation:

1. Department of Biomedical Engineering, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan

2. Graduate School of BASE, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan

3. Department of Gastrointestinal Surgery, Secomedic Hospital, Funabashi, Chiba 274-0053, Japan

Abstract

Background: For the accurate positioning of surgical tools, conventional intraoperative navigation systems have been developed to recognize the relationship between target positions and the tools. However, since an internal organ is deformed during the operation, registratin between real-time two-dimensional (2D) ultrasound images and three-dimensional (3D) CT or MRI images is not always effective. Therefore, this study developed image registration between 2D and 3D ultrasound images considering deformation for tracking target vessel movement in the liver. Methods: 3D ultrasound image was obtained in advance with 3D coordinates, including the target vessel. Then real-time 2D images and ultrasound probe position were simultaneously acquired using a 3D position sensor. We applied multiple image resolution registration, where rapid and fine optimizations can be expected in higher and lower levels, respectively. Meanwhile, gradient descent method was adopted for the optimization, which determines the relative arrangements to obtain maximum similarity between 2D and 3D images. We experimentally established resolution level parameters using a phantom before applying it to track liver blood vessel movements in a normal healthy subject. Results: Comparing between the 2D images and the registered images, although the approach has some limitations in tracking large displacement, we confirmed that the cross section of the target blood vessel was clearly visualized. Conclusion: This method has a potential for an ultrasound therapy targeting blood vessels under natural respiration conditions.

Publisher

Bentham Science Publishers Ltd.

Subject

Radiology, Nuclear Medicine and imaging

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Survey on Big Data Application for Modality and Physiological Signal Analysis;Advances in Intelligent Systems and Technologies;2022-07-30

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