What is it about?
The paper presents the basics of the compressed sensing theory, describes the compressed sensing-based reconstruction algoritms, and demonstrates some examples of applying the these algorithms and compressed sensing technologies in medical imaging (MRI and CT).
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Why is it important?
From the authors’ point of view, a parallel consideration of the applications of compressed sensing in MRI and CT should be of interest for readers.
Perspectives
The prospects are that the compressed sensing algorithms are already ready to become an alternative to traditional medical image reconstruction algorithms and be implemented in commercial medical imagers.
Dr. Alexander B Konovalov
Federal State Unitary Enterprise “Russian Federal Nuclear Center – Zababakhin All-Russia Research Institute of Technical Physics,” Snezhinsk, Russia
Read the Original
This page is a summary of: COMPRESSED SENSING IN MEDICAL IMAGING: A REVIEW WITH EXAMPLES, June 2025, LLC Institute Information Technologies,
DOI: 10.47501/978-5-6044060-5-2.180-189.
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