Image Registration Method for Surgical Robot

ChangeBridge: Patent Apps - Diagnosis & Surgery (A61B)

Published December 5th, 2025

Detected April 2nd, 2026

Summary

Tinavi Medical Technologies Co., Ltd. filed USPTO Patent Application US20260090849A1 for an image registration method for surgical robots. The method captures 2D surgical images, acquires 3D images with preoperative planning data, and uses an iterative similarity-matching algorithm to project planning information onto the surgical view. The application was published April 2, 2026.

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What changed

Tinavi Medical Technologies filed USPTO Patent Application US20260090849A1 disclosing an image registration method for surgical robots. The method involves capturing 2D images of a surgical object, acquiring 3D images with preoperative planning information, and calculating pose information to match 2D with digitally reconstructed 2D images derived from the 3D model. When similarity meets preset conditions, preoperative planning is projected onto the 2D image; otherwise, pose information is iteratively updated until alignment is achieved.

No regulatory compliance action is required. This is a patent application publication rather than an enforcement action or binding rule. Entities developing surgical robotics may wish to review the claims to assess potential freedom-to-operate implications or identify prior art.

Source document (simplified)

← USPTO Patent Applications

IMAGE REGISTRATION METHOD AND DEVICE FOR SURGICAL ROBOT, ELECTRONIC DEVICE AND STORAGE MEDIUM

Application US20260090849A1 Kind: A1 Apr 02, 2026

Assignee

TINAVI MEDICAL TECHNOLOGIES CO., LTD.

Inventors

Cheng ZHU, Junliang WANG, Tiechang LIU, Weijun ZHANG, Jie WANG, Lili JIANG

Abstract

An image registration method for a surgical robot, comprising: capturing a two-dimensional image of a surgical object and determining first guiding information in the two-dimensional image; acquiring a three-dimensional image of the surgical object and preoperative planning information, and determining second guiding information in the three-dimensional image; calculating first pose information according to the first guiding information and the second guiding information; adjusting the three-dimensional image according to the first pose information, and acquiring a digitally reconstructed two-dimensional image in the adjusted three-dimensional image; calculating the similarity between the two-dimensional image and the digitally reconstructed two-dimensional image; when the similarity meets a preset condition, projecting the preoperative planning information onto the two-dimensional image according to the first pose information; when the similarity does not meet the preset condition, updating the first pose information to obtain second pose information, and adjusting the three-dimensional image according to the second pose information.

CPC Classifications

A61B 34/30 G06T 7/337 G06T 7/80 G06V 10/25 G06V 10/26 G06V 10/761 G16H 30/40 A61B 2034/2065 A61B 2090/376 G06T 2200/04 G06T 2207/10081 G06T 2207/10124 G06T 2207/30012 G06T 2207/30052 G06T 2207/30204 G06T 2207/30244 G06V 2201/033 G06V 2201/034