Multimodality, multiscale imaging systems for investigating physiological random processes
Affiliation
Department of Medical Imaging, University of ArizonaJames C. Wyant College of Optical Sciences, University of Arizona
Issue Date
2022Keywords
characteristic functionalsemission computed tomography
personalized medicine
photon processing detector
Physiological random processes
Metadata
Show full item recordPublisher
SPIECitation
Caucci, L., & Barrett, H. H. (2022). Multimodality, multiscale imaging systems for investigating physiological random processes. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 12031.Rights
Copyright © 2022 SPIE.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
This paper presents new imaging systems for the estimation of physiological random processes in medical imaging. In this work, a physiological random process is a sequence of biochemical interactions taking place inside a living organism. These interactions involve things such as proteins and enzymes, that behave differently in response to external stimuli (such as nutrients or administered drugs). Understanding how these physiological processes interact and evolve is critical in the development of effective therapeutic approaches. The general setup of our imaging systems includes a fast detector for the measurement of visible light from which to estimate various parameters about the radiation emitted by the physiological process(es) of interest. Our setup is applicable to imaging with different kinds of radiation, including gamma rays (SPECT and PET), and charged particles, such as alpha and beta particles. Parameters we are interested in estimating for these photons/particles go beyond the 2D or 3D position typically measured in medical imaging applications, and include the direction of propagation and photon/particle energy. Recent work has shown the advantage of measuring direction of propagation and photon/particle energy, in addition to just position. It has been shown that if these additional photon/particle parameters are taken into account during reconstruction, the null space of the imaging system is strongly reduced or eliminated. This reduction in null space is critical to adequately characterize complicated physiological processes. © 2022 SPIE.Note
Immediate accessISSN
1605-7422ISBN
9781510649378Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1117/12.2611869