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Open access Sep 2026

Evaluation of deep-learning iterative reconstruction combined with high-frequency kernels in CT: a task-based image quality study

To evaluate the image quality of a novel deep-learning iterative reconstruction (DLIR) algorithm combined with high-frequency kernels compared with iterative reconstruction (IR) algorithms through the assessment of the detectability of small high-contrast lesions. Three image-quality phantoms were scanned with doses fr...

A. Viry, P. Monnin, C. Pozzessere et al. · 0 citations
#edge computing Open access Aug 2026

Task‐based evaluation of axial and multiplanar reconstructions in computed tomography: A volumetric analysis of spatial resolution, noise, and detectability

MPR image quality is typically inferior to axial images and deteriorates further when derived from thicker axial slices, therefore, appropriate selection of the reconstruction kernel, pixel size and slice thickness are essential to maintain diagnostic image quality.

P. Monnin, A. Viry, F. Becce et al. · 0 citations

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