Objectively measuring signal detectability, contrast, blur and noise in medical images using channelized joint observers

Bart Goossens; Hiêp Luong; Ljiljana Platiša; Wilfried Philips

doi:10.1117/12.2007915

28 March 2013 Objectively measuring signal detectability, contrast, blur and noise in medical images using channelized joint observers

Bart Goossens, Hiêp Luong, Ljiljana Platiša, Wilfried Philips

Author Affiliations +

Proceedings Volume 8673, Medical Imaging 2013: Image Perception, Observer Performance, and Technology Assessment; 86730J (2013) https://doi.org/10.1117/12.2007915
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

To improve imaging systems and image processing techniques, objective image quality assessment is essential. Model observers adopting a task-based quality assessment strategy by estimating signal detectability measures, have shown to be quite successful to this end. At the same time, costly and time-consuming human observer experiments can be avoided. However, optimizing images in terms of signal detectability alone, still allows a lot of freedom in terms of the imaging parameters. More specifically, fixing the signal detectability defines a manifold in the imaging parameter space on which different “possible” solutions reside. In this article, we present measures that can be used to distinguish these possible solutions from each other, in terms of image quality factors such as signal blur, noise and signal contrast. Our approach is based on an extended channelized joint observer (CJO) that simultaneously estimates the signal amplitude, scale and detectability. As an application, we use this technique to design k-space trajectories for MRI acquisition. Our technique allows to compare the different spiral trajectories in terms of blur, noise and contrast, even when the signal detectability is estimated to be equal.

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Bart Goossens, Hiêp Luong, Ljiljana Platiša, and Wilfried Philips "Objectively measuring signal detectability, contrast, blur and noise in medical images using channelized joint observers", Proc. SPIE 8673, Medical Imaging 2013: Image Perception, Observer Performance, and Technology Assessment, 86730J (28 March 2013); https://doi.org/10.1117/12.2007915

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