Progress in mesh based spatio-temporal reconstruction

Jovan G. Brankov; Ricard Delgado Gonzalo; Yongyi Yang; Mingwu Jin; Miles N. Wernick

doi:10.1117/12.776951

26 February 2008 Progress in mesh based spatio-temporal reconstruction

Jovan G. Brankov, Ricard Delgado Gonzalo, Yongyi Yang, Mingwu Jin, Miles N. Wernick

Proceedings Volume 6814, Computational Imaging VI; 68140V (2008) https://doi.org/10.1117/12.776951
Event: Electronic Imaging, 2008, San Jose, California, United States

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.

Citation Download Citation

Jovan G. Brankov, Ricard Delgado Gonzalo, Yongyi Yang, Mingwu Jin, and Miles N. Wernick "Progress in mesh based spatio-temporal reconstruction", Proc. SPIE 6814, Computational Imaging VI, 68140V (26 February 2008); https://doi.org/10.1117/12.776951

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