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Journal of Medical Imaging

Implementation of a channelized Hotelling observer model to assess image quality of x-ray angiography systems
Author(s): Christopher P. Favazza; Kenneth A. Fetterly; Nicholas J. Hangiandreou; Shuai Leng; Beth A. Schueler
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Paper Abstract

Evaluation of flat-panel angiography equipment through conventional image quality metrics is limited by the scope of standard spatial-domain image quality metric(s), such as contrast-to-noise ratio and spatial resolution, or by restricted access to appropriate data to calculate Fourier domain measurements, such as modulation transfer function, noise power spectrum, and detective quantum efficiency. Observer models have been shown capable of overcoming these limitations and are able to comprehensively evaluate medical-imaging systems. We present a spatial domain-based channelized Hotelling observer model to calculate the detectability index (DI) of our different sized disks and compare the performance of different imaging conditions and angiography systems. When appropriate, changes in DIs were compared to expectations based on the classical Rose model of signal detection to assess linearity of the model with quantum signal-to-noise ratio (SNR) theory. For these experiments, the estimated uncertainty of the DIs was less than 3%, allowing for precise comparison of imaging systems or conditions. For most experimental variables, DI changes were linear with expectations based on quantum SNR theory. DIs calculated for the smallest objects demonstrated nonlinearity with quantum SNR theory due to system blur. Two angiography systems with different detector element sizes were shown to perform similarly across the majority of the detection tasks.

Paper Details

Date Published: 25 March 2015
PDF: 12 pages
J. Med. Imag. 2(1) 015503 doi: 10.1117/1.JMI.2.1.015503
Published in: Journal of Medical Imaging Volume 2, Issue 1
Show Author Affiliations
Christopher P. Favazza, Mayo Clinic (United States)
Kenneth A. Fetterly, Mayo Clinic (United States)
Nicholas J. Hangiandreou, Mayo Clinic (United States)
Shuai Leng, Mayo Clinic (United States)
Beth A. Schueler, Mayo Clinic (United States)

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