ArticleIEEE transactions on medical imaging2015
Exact confidence intervals for channelized Hotelling observer performance in image quality studies.
Article in IEEE transactions on medical imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Phantom and methodology for comparison of small lesion detectability in PET.Medical physics · 2023Article
- Linearized Analysis of Noise and Resolution for DL-Based Image Generation.IEEE transactions on medical imaging · 2023Article
- Assessment of task-based image quality for abdominal CT protocols linked with national diagnostic reference levels.European radiology · 2022Article
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- CT metal artifact reduction algorithms: Toward a framework for objective performance assessment.Medical physics · 2020Article
- Virtual clinical trials in medical imaging: a review.Journal of medical imaging (Bellingham, Wash.) · 2020Review
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- Channelized Hotelling observer correlation with human observers for low-contrast detection in liver CT images.Journal of medical imaging (Bellingham, Wash.) · 2019Article
- Inter-laboratory comparison of channelized hotelling observer computation.Medical physics · 2018Article
- Method for Adapting the Grayscale Standard Display Function to the Aging Eye.Journal of digital imaging · 2017Article
- Evaluation of lesion detectability in positron emission tomography when using a convergent penalized likelihood image reconstruction method.Journal of medical imaging (Bellingham, Wash.) · 2017Article
- Correlation between human detection accuracy and observer model-based image quality metrics in computed tomography.Journal of medical imaging (Bellingham, Wash.) · 2016Article
- Factors affecting the normality of channel outputs of channelized model observers: an investigation using realistic myocardial perfusion SPECT images.Journal of medical imaging (Bellingham, Wash.) · 2016Article
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4 authors.
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Abstract
Task-based assessments of image quality constitute a rigorous, principled approach to the evaluation of imaging system performance. To conduct such assessments, it has been recognized that mathematical model observers are very useful, particularly for purposes of imaging system development and optimization. One type of model observer that has been widely applied in the medical imaging community is the channelized Hotelling observer (CHO), which is well-suited to known-location discrimination tasks. In the present work, we address the need for reliable confidence interval estimators of CHO performance. Specifically, we show that the bias associated with point estimates of CHO performance can be overcome by using confidence intervals proposed by Reiser for the Mahalanobis distance. In addition, we find that these intervals are well-defined with theoretically-exact coverage probabilities, which is a new result not proved by Reiser. The confidence intervals are tested with Monte Carlo simulation and demonstrated with two examples comparing X-ray CT reconstruction strategies. Moreover, commonly-used training/testing approaches are discussed and compared to the exact confidence intervals. MATLAB software implementing the estimators described in this work is publicly available at http://code.google.com/p/iqmodelo/.
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