A hybrid channelized Hotelling observer for estimating the ideal linear observer for total-variation-based image reconstruction

John Paul Phillips; Emil Y. Sidky; Greg Ongie; Weimin Zhou; Juan P. Cruz-Bastida; Ingrid S. Reiser; Mark A. Anastasio; Xiaochuan Pan

doi:10.1117/12.2581248

15 February 2021 A hybrid channelized Hotelling observer for estimating the ideal linear observer for total-variation-based image reconstruction

John Paul Phillips, Emil Y. Sidky, Greg Ongie, Weimin Zhou, Juan P. Cruz-Bastida, Ingrid S. Reiser, Mark A. Anastasio, Xiaochuan Pan

Author Affiliations +

Proceedings Volume 11599, Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment; 115990D (2021) https://doi.org/10.1117/12.2581248
Event: SPIE Medical Imaging, 2021, Online Only

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.

Conference Presentation

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John Paul Phillips, Emil Y. Sidky, Greg Ongie, Weimin Zhou, Juan P. Cruz-Bastida, Ingrid S. Reiser, Mark A. Anastasio, and Xiaochuan Pan "A hybrid channelized Hotelling observer for estimating the ideal linear observer for total-variation-based image reconstruction", Proc. SPIE 11599, Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment, 115990D (15 February 2021); https://doi.org/10.1117/12.2581248

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