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Proceedings Paper

Progress in mesh based spatio-temporal reconstruction
Author(s): Jovan G. Brankov; Ricard Delgado Gonzalo; Yongyi Yang; Mingwu Jin; Miles N. Wernick
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Paper 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.

Paper Details

Date Published: 26 February 2008
PDF: 9 pages
Proc. SPIE 6814, Computational Imaging VI, 68140V (26 February 2008); doi: 10.1117/12.776951
Show Author Affiliations
Jovan G. Brankov, Illinois Institute of Technology (United States)
Ricard Delgado Gonzalo, Illinois Institute of Technology (United States)
Yongyi Yang, Illinois Institute of Technology (United States)
Mingwu Jin, Illinois Institute of Technology (United States)
Miles N. Wernick, Illinois Institute of Technology (United States)

Published in SPIE Proceedings Vol. 6814:
Computational Imaging VI
Charles A. Bouman; Eric L. Miller; Ilya Pollak, Editor(s)

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