@inproceedings{558f3f907b204c929807c030806f5854,
title = "A hybrid channelized Hotelling observer for estimating the ideal linear observer for total-variation-based image reconstruction",
abstract = "In this work, we focus on developing a channelized Hotelling observer (CHO) that estimates ideal linear observer performance on signal detection in images resulting from non-linear image reconstruction in computed tomography. In particular, many options on specifying the channel functions are explored. A hybrid channel model is proposed where a set of traditional Laguerre-Gauss functions are concatenated with a set of central pixel functions. This expanded channel set allows the CHO to perform robustly over a wide range of image reconstruction and system parameters. The application of this model observer to determining of the total-variation constrained least-squares algorithm yields images that are seen to favor detection of small, subtle signals.",
author = "Phillips, {John Paul} and Sidky, {Emil Y.} and Greg Ongie and Weimin Zhou and Cruz-Bastida, {Juan P.} and Reiser, {Ingrid S.} and Anastasio, {Mark A.} and Xiaochuan Pan",
note = "Publisher Copyright: Copyright {\textcopyright} 2021 SPIE.; Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment ; Conference date: 15-02-2021 Through 19-02-2021",
year = "2021",
doi = "10.1117/12.2581248",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Samuelson, {Frank W.} and Sian Taylor-Phillips",
booktitle = "Medical Imaging 2021",
}