Deep learning-based image restoration algorithm for coronary CT angiography.

Tatsugami, Fuminari; Higaki, Toru; Nakamura, Yuko; Yu, Zhou; Zhou, Jian; Lu, Yujie; Fujioka, Chikako; Kitagawa, Toshiro; Kihara, Yasuki; Iida, Makoto; Awai, Kazuo

doi:10.1007/s00330-019-06183-y

Record: found
Abstract: found
Article: not found

Deep learning-based image restoration algorithm for coronary CT angiography.

Author(s): Fuminari Tatsugami ¹ , Toru Higaki ² , Yuko Nakamura ² , Zhou Yu ³ , Jian Zhou ³ , Yujie Lu ³ , Chikako Fujioka ⁴ , Toshiro Kitagawa ⁵ , Yasuki Kihara ⁵ , Makoto Iida ² , Kazuo Awai ²

Publication date (Electronic): Oct 2019

Journal: European radiology

Publisher: Springer Science and Business Media LLC

Keywords: Artificial intelligence, Cardiac imaging techniques, Computed tomography angiography, Image enhancement

Read this article at

ScienceOpenPublisher PubMed

Bookmark

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

The purpose of this study was to compare the image quality of coronary computed tomography angiography (CTA) subjected to deep learning-based image restoration (DLR) method with images subjected to hybrid iterative reconstruction (IR).

Related collections

Author and article information

Journal

Journal ID (iso-abbrev): Eur Radiol

Title: European radiology

Publisher: Springer Science and Business Media LLC

ISSN (Electronic): 1432-1084

ISSN (Print): 0938-7994

Publication date (Electronic): Oct 2019

Volume: 29

Issue: 10

Affiliations

[1 ] Department of Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan. sa104@rg8.so-net.ne.jp.

[2 ] Department of Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.

[3 ] Canon Medical Research USA, Inc., 706 N Deerpath Drive, Vernon Hills, IL, 60061, USA.

[4 ] Department of Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.

[5 ] Department of Cardiovascular Medicine, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.

Article

Publisher Item ID: 10.1007/s00330-019-06183-y

DOI: 10.1007/s00330-019-06183-y

PubMed ID: 30963270

SO-VID: 227c5bee-b2d4-4d74-a882-d79d76b0ba1a

History

Keywords: Artificial intelligence,Computed tomography angiography,Image enhancement,Cardiac imaging techniques

Data availability:

Keywords: Artificial intelligence, Computed tomography angiography, Image enhancement, Cardiac imaging techniques

Deep learning-based image restoration algorithm for coronary CT angiography.

Read this article at

Abstract

Related collections

Artificial Intelligence in Medicine

Author and article information

Journal

Affiliations

Article

History

Comments

Comment on this article

Similar content 82

Cited by 74