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Real-Time Synthesis of Image Slices in Deformed Tissue from Nominal Volume Images
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Real-Time Synthesis of Image Slices in Deformed Tissue from Nominal Volume Images
Orcun Goksel1 and Septimiu E. Salcudean1 
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Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada |
Abstract
This paper presents a fast image synthesis procedure for elastic volumes under deformation. Given the node displacements of
a mesh and the 3D image voxel data of an undeformed volume, the method maps the image plane pixels to be synthesized from
the deformed configuration back to the nominal pre-deformed configuration, where the pixel intensities are obtained easily
through interpolation in the regular-grid structure of the voxel volume. For smooth interpolation, this mapping requires the
identification of the mesh element enclosing each image pixel. To accelerate this point location procedure, a fast method of marking the image pixels is employed by finding the intersection of the mesh and the image, and
marking this intersection on the image pixels using Bresenham’s line drawing algorithm. A deformable tissue phantom was constructed, it was modeled using the finite element method, and its 3D ultrasound volume
was acquired in its undeformed state. Actual B-mode images of the phantom under deformation by the ultrasound probe were then
compared with the corresponding synthesized images simulated for the same deformations. Results show that realistic images
can be synthesized in real-time using the proposed technique.
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