Pheiffer TS, Thompson RC, Rucker DC, Simpson AL, Miga MI. Model-based correction of tissue compression for tracked ultrasound in soft tissue image-guided surgery. Ultrasound Med Biol. April 2014;40(4):788-803.
How Analyze was Used
“Computed tomography image volumes of the phantoms were acquired using a clinical CT machine. These data simulated a typical pre-operative tomogram acquisition, and were defined in the experiment as the baseline un-deformed state against which our corrected ultrasound data would be compared. All volumes were 512 x 512 x 422 with 0.6-mm isotropic voxels. The phantom structures were segmented using intensity thresholding tools within Analyze 9.0… Isosurfaces were generated from the bulk phantom and tumor segmentations via the marching cubes algorithm, and were smoothed using a Laplacian filter. A tetrahedral mesh was generated from the segmentation surfaces using custom-built mesh generation methods (Sullivan et al. 1997).”
Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, US. (TP, DCR, ALS, MIM)
Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, US. (RCT, MIM)
Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, US. (MIM)
ID# 148Tags: Biomechanical Model, Boundary Conditions, Finite-Element Model, Image Registration, Image-Guided Surgery, Tissue Deformation