Abstract

In tomography, three-dimensional images of a medium are reconstructed from a set of two-dimensional projections. Each projection is the result of a measurement made by the scanner via radiating some form of energy and collecting the scattered field after interacting with the medium. The information content of these measurements is not equal, and one projection can be more informative than others. By choosing the most informative measurement at every step of scanning, an optimal tomography system can maximize the speed of data acquisition and temporal resolution of acquired images, reducing the operation cost and exposure to possible harmful radiations. The aim of this paper is to introduce mathematical algorithms that can be used to design measurements with optimal information content when imaging static or dynamically evolving objects.

© 2023 Optica Publishing Group

Optimization of data acquisition operation in optical tomography based on estimation theory

Mahshad Javidan, Hadi Esfandi, and Ramin Pashaie
Biomed. Opt. Express 12(9) 5670-5690 (2021)

X-ray tomography of extended objects: a comparison of data acquisition approaches

Ming Du, Rafael Vescovi, Kamel Fezzaa, Chris Jacobsen, and Doğa Gürsoy
J. Opt. Soc. Am. A 35(11) 1871-1879 (2018)

Optimizing the speckle noise for maximum efficacy of data acquisition in coherent imaging

François Chapeau-Blondeau, David Rousseau, Solenna Blanchard, and Denis Gindre
J. Opt. Soc. Am. A 25(6) 1287-1292 (2008)

Compressed sampling strategies for tomography

Yan Kaganovsky, Daheng Li, Andrew Holmgren, HyungJu Jeon, Kenneth P. MacCabe, David G. Politte, Joseph A. O’Sullivan, Lawrence Carin, and David J. Brady
J. Opt. Soc. Am. A 31(7) 1369-1394 (2014)

Singular-value analysis and optimization of experimental parameters in fluorescence molecular tomography

Edward E. Graves, Joseph P. Culver, Jorge Ripoll, Ralph Weissleder, and Vasilis Ntziachristos
J. Opt. Soc. Am. A 21(2) 231-241 (2004)