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Current Medical Imaging

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ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

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Research Article

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

Author(s): Kohji Masuda*, Taichi Shimizu, Takumi Nakazawa and Yoshihiro Edamoto

Volume 19, Issue 10, 2023

Published on: 14 October, 2022

Article ID: e200922208978 Pages: 11

DOI: 10.2174/1573405618666220920114813

Price: $65

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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, registration between realtime 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 at higher and lower levels, respectively. Meanwhile, the 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 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 the potential for an ultrasound therapy targeting blood vessels under natural respiration conditions.

Keywords: Three-dimensional ultrasound image, Gradient descend method, Multiple image resolutions, Hepatic artery, Body motion

Graphical Abstract

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