Share Email Print
cover

Proceedings Paper

Integrated system for point cloud reconstruction and simulated brain shift validation using tracked surgical microscope
Author(s): Xiaochen Yang; Logan W. Clements; Ma Luo; Saramati Narasimhan; Reid C. Thompson; Benoit M. Dawant; Michael I. Miga
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Intra-operative soft tissue deformation, referred to as brain shift, compromises the application of current imageguided surgery (IGS) navigation systems in neurosurgery. A computational model driven by sparse data has been used as a cost effective method to compensate for cortical surface and volumetric displacements. Stereoscopic microscopes and laser range scanners (LRS) are the two most investigated sparse intra-operative imaging modalities for driving these systems. However, integrating these devices in the clinical workflow to facilitate development and evaluation requires developing systems that easily permit data acquisition and processing. In this work we present a mock environment developed to acquire stereo images from a tracked operating microscope and to reconstruct 3D point clouds from these images. A reconstruction error of 1 mm is estimated by using a phantom with a known geometry and independently measured deformation extent. The microscope is tracked via an attached tracking rigid body that facilitates the recording of the position of the microscope via a commercial optical tracking system as it moves during the procedure. Point clouds, reconstructed under different microscope positions, are registered into the same space in order to compute the feature displacements. Using our mock craniotomy device, realistic cortical deformations are generated. Our experimental results report approximately 2mm average displacement error compared with the optical tracking system. These results demonstrate the practicality of using tracked stereoscopic microscope as an alternative to LRS to collect sufficient intraoperative information for brain shift correction.

Paper Details

Date Published: 3 March 2017
PDF: 9 pages
Proc. SPIE 10135, Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling, 101352G (3 March 2017); doi: 10.1117/12.2255777
Show Author Affiliations
Xiaochen Yang, Vanderbilt Univ. (United States)
Logan W. Clements, Vanderbilt Univ. (United States)
Ma Luo, Vanderbilt Univ. (United States)
Saramati Narasimhan, Vanderbilt Univ. (United States)
Reid C. Thompson, Vanderbilt Univ. Medical Ctr. (United States)
Benoit M. Dawant, Vanderbilt Univ. (United States)
Vanderbilt Univ. Medical Ctr. (United States)
Michael I. Miga, Vanderbilt Univ. (United States)
Vanderbilt Univ. Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 10135:
Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling
Robert J. Webster; Baowei Fei, Editor(s)

© SPIE. Terms of Use
Back to Top