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Review
. 2019 Jan;37(1):73-80.
doi: 10.1007/s11604-018-0796-2. Epub 2018 Nov 29.

Improvement of image quality at CT and MRI using deep learning

Toru Higaki  1 , Yuko Nakamura  2 , Fuminari Tatsugami  2 , Takeshi Nakaura  3 , Kazuo Awai  2
Affiliations
Review

Improvement of image quality at CT and MRI using deep learning

Toru Higaki et al. Jpn J Radiol. 2019 Jan.

Abstract

Deep learning has been developed by computer scientists. Here, we discuss techniques for improving the image quality of diagnostic computed tomography and magnetic resonance imaging with the aid of deep learning. We categorize the techniques for improving the image quality as "noise and artifact reduction", "super resolution" and "image acquisition and reconstruction". For each category, we present and outline the features of some studies.

Keywords: Computed tomography; Deep learning; Image quality improvement; Magnetic resonance imaging.

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