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Japanese Journal of Radiology

Erschienen in:

29.11.2018 | Invited Review

Improvement of image quality at CT and MRI using deep learning

verfasst von: Toru Higaki, Yuko Nakamura, Fuminari Tatsugami, Takeshi Nakaura, Kazuo Awai

Erschienen in: Japanese Journal of Radiology | Ausgabe 1/2019

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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.

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Titel: Improvement of image quality at CT and MRI using deep learning
verfasst von: Toru Higaki
Yuko Nakamura
Fuminari Tatsugami
Takeshi Nakaura
Kazuo Awai
Publikationsdatum: 29.11.2018
Verlag: Springer Japan
Erschienen in: Japanese Journal of Radiology / Ausgabe 1/2019
Print ISSN: 1867-1071
Elektronische ISSN: 1867-108X
DOI: https://doi.org/10.1007/s11604-018-0796-2

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