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Spect image reconstruction under imaging time constraints | IEEE Conference Publication | IEEE Xplore

Spect image reconstruction under imaging time constraints


Abstract:

Single photon emission computed tomography (SPECT) is a nuclear imaging modality used by, among others, oncologists in the imaging of tumors. At its core, SPECT is an und...Show More

Abstract:

Single photon emission computed tomography (SPECT) is a nuclear imaging modality used by, among others, oncologists in the imaging of tumors. At its core, SPECT is an underdetermined signal recovery problem. The degree of difficulty in recovering the underlying image increases as the imaging time decreases. To make the image reconstruction problem well-posed, it is advantageous to introduce a signal prior, such as the total variation. Such priors can dramatically improve reconstruction performance and allow for faster scans. The issue with the adoption of such priors in practice is the lack of an automated method for selecting the regularization strength. The purpose of this work is to review the SPECT problem, discuss the role of regularizers in SPECT, and propose a method for estimating the regularization strength.
Date of Conference: 29 October 2017 - 01 November 2017
Date Added to IEEE Xplore: 16 April 2018
ISBN Information:
Electronic ISSN: 2576-2303
Conference Location: Pacific Grove, CA, USA

References

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