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An Approach to Convert 4D Geometry into a 4D CT Scan

Abstract : We present an approach to convert the geometrical data produced by a physical simulation of soft-organ motion into a 3D+time CT scan. The simulated geometry consists of a "time-dependent" mesh of positions in both bulk and surface. We assume that density is a continuous function well represented by interpolation functions of the mesh-point density values. Then we describe in this paper how we calculate density at the mesh points and how we produce the CT scan using the scanner convolution parameters associated to clinical scanner devices. The aim of this work is to provide the physicians with standard images useful to appreciate organ motions and to incorporate them into a treatment planning platform.
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Submitted on : Tuesday, July 30, 2013 - 2:16:50 PM
Last modification on : Friday, September 30, 2022 - 11:34:16 AM
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  • HAL Id : hal-00849203, version 1


Pierre-Frédéric Villard, Michaël Beuve, Behzad Shariat. An Approach to Convert 4D Geometry into a 4D CT Scan. WSCG (Winter School of Computer Graphics), 2006, Plzen, Czech Republic. pp.163--170. ⟨hal-00849203⟩



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