Reconstruction Kernel Optimization for Ultra-High-Resolution Photon-Counting Detector Computed Tomography of the Lung

The use of the Br76 reconstruction kernel provided the best quantitative and qualitative image quality for UHR PCD-CT of the lungs.

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Publication Details

Journal
Journal of Computer Assisted Tomography
Published
2024-11-18
DOI
https://doi.org/10.1097/rct.0000000000001694
Primary Topic
Advanced X-ray and CT Imaging
Type
article
Field-Weighted Citation Impact
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article

Reconstruction Kernel Optimization for Ultra-High-Resolution Photon-Counting Detector Computed Tomography of the Lung

Dhiraj Baruah, Ismail Kabakus, Reginald F. Munden, Carter D. Smith et al.
Journal of Computer Assisted Tomography
Advanced X-ray and CT Imaging
article

Reconstruction Kernel Optimization for Ultra-High-Resolution Photon-Counting Detector Computed Tomography of the Lung

Dhiraj Baruah, Ismail Kabakus, Reginald F. Munden, Carter D. Smith, U. Joseph Schoepf, Jordan Chamberlin, Jeremy R. Burt, Dhruw Maisuria, Jim O’Doherty, Adrienn Tóth, Aaron M. McGuire
article en

Abstract

The use of the Br76 reconstruction kernel provided the best quantitative and qualitative image quality for UHR PCD-CT of the lungs.

Journal of Computer Assisted TomographyVol. 49(3)
Medical University of South Carolina (US), University of Utah (US), Kleijnen Systematic Reviews (United Kingdom) (GB), Medical Solutions (GB), Advanced Imaging Research (United States) (US)
Openalex Percentile: Top 81%
Advanced X-ray and CT Imaging
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