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30 May 2001 3D ultrasound as sparse data for intraoperative brain deformation model
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Abstract
During neurosurgery, intraoperative brain shift comprises the accuracy of image guided techniques. We are investigating the use of ultrasound as an inexpensive means of gaining 3D data on subsurface tissue deformation. Measured displacement of easily recognizable features can then be used to drive a computational model for a description of full volume deformation. Subsurface features identified in the ultrasound image plane are located in world space using a 3D optical tracking system mounted to the ultrasound scanhead. This tracking system is also co- registered with the model space derived from preoperative MR, allowing the ultrasound image plane to e reconstructed in MR space, and the corresponding oblique MR slice to be obtained. The ultrasound image tracker has been calibrated with a novel strategy involving multiple scans of N-shaped wires positioned at several depths. Mean calibration error is found to range from 0.43 mm to 0.76 mm in plane and 0.86 mm to 1.51 mm out of plane for the two ultrasound image scales calibrated. Improved ultrasound calibration and co- registration facilitates subsurface feature tracking as a first step in obtaining model constraints for intraoperative image compensation. Estimation of and compensation for brain shift through the low cost, efficient technology of ultrasound, combined with computational modeling is feasible and appears to be a promising means of improving intraoperative image guided techniques.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Karen E. Lunn, Alex Hartov, Francis E. Kennedy, Michael I. Miga, David W. Roberts, Leah A. Platenik, and Keith D. Paulsen "3D ultrasound as sparse data for intraoperative brain deformation model", Proc. SPIE 4325, Medical Imaging 2001: Ultrasonic Imaging and Signal Processing, (30 May 2001); https://doi.org/10.1117/12.428208
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