26 February 2008 Progress in mesh based spatio-temporal reconstruction
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Abstract
In this paper, we present a new methodology for calculation of a 2D projection operator for emission tomography using a content-adaptive mesh model (CAMM). A CAMM is an efficient image representation based on adaptive sampling and linear interpolation, wherein non-uniform image samples are placed most densely in regions having fine detail. We have studied CAMM in recent years and shown that a CAMM is an efficient tool for data representation and tomographic reconstruction. In addition, it can also provide a unified framework for tomographic reconstruction of organs (e.g., the heart) that undergo non-rigid deformation. In this work we develop a projection operator model suitable for a CAMM representation such that it accounts for several major degradation factors in data acquisition, namely object attenuation and depth-dependent blur in detector-collimator response. The projection operator is calculated using a ray-tracing algorithm. We tested the developed projection operator by using Monte Carlo simulation for single photon emission tomography (SPECT). The methodology presented here can also be extended to transmission tomography.
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Jovan G. Brankov, Ricard Delgado Gonzalo, Yongyi Yang, Mingwu Jin, Miles N. Wernick, "Progress in mesh based spatio-temporal reconstruction", Proc. SPIE 6814, Computational Imaging VI, 68140V (26 February 2008); doi: 10.1117/12.776951; https://doi.org/10.1117/12.776951
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