ArticleMedical physics2021
Development, validation, and relevance of in vivo low-contrast task transfer function to estimate detectability in clinical CT images.
Article in Medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Assessment of image quality and detectability in computed tomography: Inter-laboratory comparison of Fourier-based metrics.Journal of applied clinical medical physics · 2026Article
- Task-based evaluation of axial and multiplanar reconstructions in computed tomography: A volumetric analysis of spatial resolution, noise, and detectability.Journal of applied clinical medical physics · 2026Article
- The Accuracy of Noise Measurements in Patient CT Images.Academic radiology · 2026Article
- Gaussian Function Model for Task-Specific Evaluation in Medical Imaging: A Theoretical Investigation.Journal of imaging informatics in medicine · 2026Article
- Automated Task-Transfer Function Measurement for CT Image Quality Assessment Based on AAPM TG 233.Journal of imaging · 2025Article
- Objective assessment of diagnostic image quality in CT scans: what radiologists and researchers need to know.Insights into imaging · 2025Review
- Photon-counting computed tomography versus energy-integrating computed tomography for detection of small liver lesions: comparison using a virtual framework imaging.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Visualization of the distortion induced by nonlinear noise reduction in computed tomography.Journal of medical imaging (Bellingham, Wash.) · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
purposeThe current state-of-the-art calculation of detectability index (d') is largely phantom-based, with the latest being based on a hybrid phantom noise power spectrum (NPS) combined with patient-specific noise magnitude and high-contrast air-skin interface. The purpose of this study was to develop and assess the use of fully patient-specific measurements of noise and low-contrast resolution, derived entirely from patient images on d'.
methodsThis study developed a d' calculation that is patient- and task-specific, employing newly developed algorithms for estimating patient-specific NPS and low-contrast task transfer function (TTF). The TTF estimation methodology used a trained regression support vector machine (SVM) to estimate a fitted form of the TTF given a variance-normalized estimate of the NPS (referred to as the TTF
resultsThe TTF
conclusionsThe results suggest that fully patient-specific characterization of image quality based on in vivo NPS and low-contrast TTF offer advantages over hybrid methods. The results in terms of d' favorably relate to observer detection of liver lesions. The method can potentially be integrated into an automated image quality tracking system to assess image quality across a computed tomography clinical operation without needing phantom scans.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.