Back to Search Start Over

Interactive Multi‐Stage Robotic Positioner for Intra‐Operative MRI‐Guided Stereotactic Neurosurgery.

Authors :
He, Zhuoliang
Dai, Jing
Ho, Justin Di‐Lang
Tong, Hon‐Sing
Wang, Xiaomei
Fang, Ge
Liang, Liyuan
Cheung, Chim‐Lee
Guo, Ziyan
Chang, Hing‐Chiu
Iordachita, Iulian
Taylor, Russell H.
Poon, Wai‐Sang
Chan, Danny Tat‐Ming
Kwok, Ka‐Wai
Source :
Advanced Science; 2/16/2024, Vol. 11 Issue 7, p1-15, 15p
Publication Year :
2024

Abstract

Magnetic resonance imaging (MRI) demonstrates clear advantages over other imaging modalities in neurosurgery with its ability to delineate critical neurovascular structures and cancerous tissue in high‐resolution 3D anatomical roadmaps. However, its application has been limited to interventions performed based on static pre/post‐operative imaging, where errors accrue from stereotactic frame setup, image registration, and brain shift. To leverage the powerful intra‐operative functions of MRI, e.g., instrument tracking, monitoring of physiological changes and tissue temperature in MRI‐guided bilateral stereotactic neurosurgery, a multi‐stage robotic positioner is proposed. The system positions cannula/needle instruments using a lightweight (203 g) and compact (Ø97 × 81 mm) skull‐mounted structure that fits within most standard imaging head coils. With optimized design in soft robotics, the system operates in two stages: i) manual coarse adjustment performed interactively by the surgeon (workspace of ±30°), ii) automatic fine adjustment with precise (<0.2° orientation error), responsive (1.4 Hz bandwidth), and high‐resolution (0.058°) soft robotic positioning. Orientation locking provides sufficient transmission stiffness (4.07 N/mm) for instrument advancement. The system's clinical workflow and accuracy is validated with lab‐based (<0.8 mm) and MRI‐based testing on skull phantoms (<1.7 mm) and a cadaver subject (<2.2 mm). Custom‐made wireless omni‐directional tracking markers facilitated robot registration under MRI. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21983844
Volume :
11
Issue :
7
Database :
Complementary Index
Journal :
Advanced Science
Publication Type :
Academic Journal
Accession number :
175503082
Full Text :
https://doi.org/10.1002/advs.202305495