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

Lu Zhang | Zendy; Bart Goossens | Zendy; Christine CavaroMénard | Zendy; Patrick Le Callet | Zendy; Di Ge | Zendy

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

Author(s) -

Lu Zhang,

Bart Goossens,

Christine CavaroMénard,

Patrick Le Callet,

Di Ge

Publication year - 2013

Publication title -

journal of the optical society of america a

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.803

H-Index - 158

eISSN - 1520-8532

pISSN - 1084-7529

DOI - 10.1364/josaa.30.002422

Subject(s) - channelized , observer (physics) , orientation (vector space) , amplitude , estimation , computer science , artificial intelligence , pattern recognition (psychology) , computer vision , mathematics , engineering , physics , telecommunications , optics , geometry , quantum mechanics , systems engineering

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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