Combination of temporal and spatial denoising methods for cine MRI

Tsubasa Maeda, Satoshi Tamura, Satoru Hayamizu, Keigo Kawaji

研究成果: Conference contribution

抄録

In this paper, we propose a denoising method for cine MRI acquired by MoPS. The MoPS-based cine MRI has a high FPS but contains reconstruction noise. DISPEL, a conventional method, performs denoising in the temporal domain. A neural network is further introduced to remove spatial noise. Different from most those methods requiring noisy and clean images, we choose an unsupervised scheme, N2N. We combine these two methods to perform temporal and spatial denoising for cine MRI. Experimental results show that the proposed method is able to remove noise from cine MRIs acquired by MoPS without removing tissue signal.

本文言語English
ホスト出版物のタイトルLifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies
出版社Institute of Electrical and Electronics Engineers Inc.
ページ44-47
ページ数4
ISBN(電子版)9781665418751
DOI
出版ステータスPublished - 2021 3 9
外部発表はい
イベント3rd IEEE Global Conference on Life Sciences and Technologies, LifeTech 2021 - Nara, Japan
継続期間: 2021 3 92021 3 11

出版物シリーズ

名前LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies

Conference

Conference3rd IEEE Global Conference on Life Sciences and Technologies, LifeTech 2021
国/地域Japan
CityNara
Period21/3/921/3/11

ASJC Scopus subject areas

  • 生体医工学
  • 健康情報学
  • 健康(社会科学)
  • 生化学
  • 人工知能
  • コンピュータ サイエンスの応用

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