Toward effective noise reduction for sub-Nyquist high-frame-rate MRI techniques with deep learning

Yudai Suzuki*, Keigo Kawaji, Amit R. Patel, Satoshi Tamura, Satoru Hayamizu

*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Cine Cardiac Magnetic Resonance (Cine-CMR) is one example of dynamic MRI approaches to image organs that exhibit periodic motion. Conventional routine clinical Cine-CMR are typically obtained at 20-35 frames per second (fps) with temporal window sizes of 40-50 milliseconds. We have recently shown the feasibility of significantly increasing this overall frame rate by an acquisition of MRI k-space using a highly optimized radial sampling pattern with respect to both spatial and temporal coverage. In brief, our proposed approach acquires a significantly undersampled radial MRI k-space while encoding spatially and temporally periodic noise characteristics through the undersampled radial MRI acquisition; however, remnant radial streaking noise remain under physiologic imaging conditions. In this research, we propose to further remove these streaking noise, employing a Spatio-Temporal Denoising Auto-Encoder (ST-DAE) based on deep learning. We evaluate performance of our method in addressing such remnant artifact using ST-DAE; PSNR is used to evaluate image quality, and computational time is also discussed.

本文言語English
ホスト出版物のタイトルProceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1136-1139
ページ数4
ISBN(電子版)9781538615423
DOI
出版ステータスPublished - 2018 2 5
外部発表はい
イベント9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 - Kuala Lumpur, Malaysia
継続期間: 2017 12 122017 12 15

出版物シリーズ

名前Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
2018-February

Other

Other9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
国/地域Malaysia
CityKuala Lumpur
Period17/12/1217/12/15

ASJC Scopus subject areas

  • 人工知能
  • 人間とコンピュータの相互作用
  • 情報システム
  • 信号処理

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