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Channelized model observer for the detection and estimation of signals with unknown amplitude, orientation, and size.

Abstract : As a task-based approach for medical image quality assessment, model observers (MOs) have been proposed as surrogates for human observers. While most MOs treat only signal-known-exactly tasks, there are few studies on signal-known-statistically (SKS) MOs, which are clinically more relevant. In this paper, we present a new SKS MO named channelized joint detection and estimation observer (CJO), capable of detecting and estimating signals with unknown amplitude, orientation, and size. We evaluate its estimation and detection performance using both synthesized (correlated Gaussian) backgrounds and real clinical (magnetic resonance) backgrounds. The results suggest that the CJO has good performance in the SKS detection-estimation task.
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https://www.hal.inserm.fr/inserm-00954609
Contributor : Di Ge <>
Submitted on : Monday, March 3, 2014 - 12:08:56 PM
Last modification on : Tuesday, November 12, 2019 - 5:02:04 PM
Long-term archiving on: : Tuesday, June 3, 2014 - 10:46:32 AM

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Lu Zhang, Bart Goossens, Christine Cavaro-Ménard, Patrick Le Callet, Di Ge. Channelized model observer for the detection and estimation of signals with unknown amplitude, orientation, and size.. Journal of the Optical Society of America. A Optics, Image Science, and Vision, Optical Society of America, 2013, 30 (11), pp.2422-32. ⟨10.1364/JOSAA.30.002422⟩. ⟨inserm-00954609⟩

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