ArticlePloS one2018
Human and model observer performance for lesion detection in breast cone beam CT images with the FDK reconstruction.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 25 citations in OpenAlex.
- Resolution-noise characteristics of common FDK filter kernels: A practical reference for preclinical cone-beam micro-CT.PloS one · 2026Article
- A systematic review of deep learning-based denoising for low-dose computed tomography from a perceptual quality perspective.Biomedical engineering letters · 2024Review
- Model observer performance in contrast-enhanced lesions in breast CT: The influence of contrast concentration on detectability.Medical physics · 2023Article
- Article
- UNet and MobileNet CNN-based model observers for CT protocol optimization: comparative performance evaluation by means of phantom CT images.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- High-resolutionJournal of medical imaging (Bellingham, Wash.) · 2021Article
- Relative Contributions of Anatomical and Quantum Noise in Signal Detection and Perception of Tomographic Digital Breast Images.IEEE transactions on medical imaging · 2020Article
- Article
- A performance comparison of convolutional neural network-based image denoising methods: The effect of loss functions on low-dose CT images.Medical physics · 2019Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We investigate the detectability of breast cone beam computed tomography images using human and model observers and the variations of exponent, β, of the inverse power-law spectrum for various reconstruction filters and interpolation methods in the Feldkamp-Davis-Kress (FDK) reconstruction. Using computer simulation, a breast volume with a 50% volume glandular fraction and a 2mm diameter lesion are generated and projection data are acquired. In the FDK reconstruction, projection data are apodized using one of three reconstruction filters; Hanning, Shepp-Logan, or Ram-Lak, and back-projection is performed with and without Fourier interpolation. We conduct signal-known-exactly and background-known-statistically detection tasks. Detectability is evaluated by human observers and their performance is compared with anthropomorphic model observers (a non-prewhitening observer with eye filter (NPWE) and a channelized Hotelling observer with either Gabor channels or dense difference-of-Gaussian channels). Our results show that the NPWE observer with a peak frequency of 7cyc/degree attains the best correlation with human observers for the various reconstruction filters and interpolation methods. We also discover that breast images with smaller β do not yield higher detectability in the presence of quantum noise.
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