Ultra-High-Resolution Photon-Counting-Detector CT with a Dedicated Denoising Convolutional Neural Network for Enhanced Temporal Bone Imaging
The proposed CNN significantly reduced image noise in UHR PCD-CT, enabling the use of the sharpest kernel. This combination greatly enhanced diagnostic image quality and anatomic visualization.
Authors
- John C. Benson (ORCID: https://orcid.org/0000-0002-4038-5422)
- Jamison E. Thorne (ORCID: https://orcid.org/0000-0003-3993-6423)
- Shaojie Chang (ORCID: https://orcid.org/0000-0003-0550-9650)
- Michael R. Bruesewitz (ORCID: https://orcid.org/0000-0002-7291-7913)
- Shuai Leng (ORCID: https://orcid.org/0000-0002-6453-9481)
- Cynthia H. McCollough (ORCID: https://orcid.org/0000-0002-5346-332X)
- John I. Lane (ORCID: https://orcid.org/0000-0001-5874-633X)
- Matthew L. Carlson (ORCID: https://orcid.org/0000-0002-4925-8593)
- Emily K. Koons (ORCID: https://orcid.org/0000-0001-6646-595X)
- Joseph R. Swicklik
Institutions
- Mayo Clinic (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- American Journal of Neuroradiology
- Published
- 2024-11-11
- DOI
- https://doi.org/10.3174/ajnr.a8572
- Citations
- 6
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.11
Funders
- National Institutes of Health