Content Adaptive Model Operator for Single Photon Emission Computed Tomography
Ricard Delgado Gonzalo, Technical University of Catalonia

Seminar • 25 April 2008 • BM 5.202

Abstract
In this presentation it is going to be shown a new methodology for full 2D and 3D calculation of a projection operator for emission tomography using the content-adaptive mesh model (CAMM) for image representation. CAMM has been shown to be a promising methodology for volumetric data representation and tomographic reconstruction. Furthermore, it provides a unified framework for tomographic reconstruction of organs that undergo non-riding deformation, e.g. heart. The CAMM is an efficient image representation based on adaptive nonuniform sampling and linear interpolation. The presented projection operator model incorporates the major data degradation models, namely object attenuation and detector/collimator spatial response referred to as distance dependent blur. The projection operator is calculated using a ray-tracing algorithm. The methodology presented here can be easily extended to transmission tomography. The derivation and implementation of the projection operator have been tested by reconstructing images obtained from a realistic data simulation. The research described establishes an important and necessary step for development of 4D (3D space + time) deformable CAMM reconstruction of organs with non-rigid motion.