Evaluation of Low-dose Computed Tomography Images Reconstructed Using Artificial Intelligence-based Adaptive Filtering for Denoising: A Comparison with Computed Tomography Reconstructed with Iterative Reconstruction Algorithm

Artificial intelligence-based denoising algorithms produce similar images as IR at 50% dose reduction and outperform it at 33% of the SD.

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Publication Details

Journal
Journal of Medical Physics
Published
2025-01-01
DOI
https://doi.org/10.4103/jmp.jmp_115_24
Citations
1
Primary Topic
Radiation Dose and Imaging
Type
article
Field-Weighted Citation Impact
1.36

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article

Evaluation of Low-dose Computed Tomography Images Reconstructed Using Artificial Intelligence-based Adaptive Filtering for Denoising: A Comparison with Computed Tomography Reconstructed with Iterative Reconstruction Algorithm

A. Joshi, Abhay Nene, K. R. Mahadik, Akshay Baheti et al.
1 citations
Journal of Medical Physics
Radiation Dose and Imaging
1.36
article

Evaluation of Low-dose Computed Tomography Images Reconstructed Using Artificial Intelligence-based Adaptive Filtering for Denoising: A Comparison with Computed Tomography Reconstructed with Iterative Reconstruction Algorithm

A. Joshi, Abhay Nene, K. R. Mahadik, Akshay Baheti, Vasundhara Patil, Nitin Shetty, Suyash Sureshchandra Kulkarni, CS Pramesh, Amitkumar Choudhari
article en
1 citations

Abstract

Artificial intelligence-based denoising algorithms produce similar images as IR at 50% dose reduction and outperform it at 33% of the SD.

Journal of Medical PhysicsVol. 50(1)
Homi Bhabha National Institute (IN), Tata Memorial Hospital (IN)
Tata Memorial Centre
Openalex Percentile: Top 22%
Radiation Dose and Imaging
1.36
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