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Journal of Medical Imaging • new

Stereovision-based integrated system for point cloud reconstruction and simulated brain shift validation
Author(s): Xiaochen Yang; Logan W. Clements; Ma Luo; Saramati Narasimhan; Reid C. Thompson; Benoit M. Dawant; Michael I. Miga
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Paper Abstract

Intraoperative soft tissue deformation, referred to as brain shift, compromises the application of current image-guided surgery navigation systems in neurosurgery. A computational model driven by sparse data has been proposed as a cost-effective method to compensate for cortical surface and volumetric displacements. We present a mock environment developed to acquire stereoimages from a tracked operating microscope and to reconstruct three-dimensional 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 to compute the feature displacements. Using our mock craniotomy device, realistic cortical deformations are generated. When comparing our tracked microscope stereo-pair measure of mock vessel displacements to that of the measurement determined by the independent optically tracked stylus marking, the displacement error was ∼2  mm on average. These results demonstrate the practicality of using tracked stereoscopic microscope as an alternative to laser range scanners to collect sufficient intraoperative information for brain shift correction.

Paper Details

Date Published: 12 September 2017
PDF: 9 pages
J. Med. Imag. 4(3) 035002 doi: 10.1117/1.JMI.4.3.035002
Published in: Journal of Medical Imaging Volume 4, Issue 3
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)
Michael I. Miga, Vanderbilt Univ. (United States)
Vanderbilt Univ. Medical Ctr. (United States)

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