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

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

Purpose: Awareness of radiation-induced risk led to the development of various dose optimization techniques in iterative reconstruction (IR) algorithms and deep learning algorithms to improve low-dose image quality. PixelShine (PS) by AlgoMedica Inc., USA, is a vendor-neutral deep learning denoising...

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Bibliographic Details
Main Authors: Suyash Kulkarni, Vasundhara Patil, Aniruddha Nene, Nitin Shetty, Amitkumar Choudhari, Akansha Joshi, CS Pramesh, Akshay Baheti, Kalpesh Mahadik
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2025-01-01
Series:Journal of Medical Physics
Subjects:
artificial intelligence-based denoising image reconstruction algorithm
low-dose computed tomography images
pixelshine
Online Access:https://journals.lww.com/10.4103/jmp.jmp_115_24
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