書誌事項
- タイトル別名
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- 1E36 Accuracy improvement of 4D Flow velocimetry using image restoration methods
抄録
A new method to improve the accuracy of 3D cine PC-MR (4D Flow) velocimetry using image restoration technique is proposed. The error of 4D Flow measured data is separated into the Gaussian noise part and the blur part, which consists of the two types of characteristic artifacts: "dragging velocity" and "lower velocity peak". The proposed method models the blur artifacts with a nonlinear point spread function (PSF) for the velocity images. The model parameters of the PSF are determined by inverse analysis with the results of a series of phantom study. And then the accurate velocity images can be estimated using image restoration with the PSF and in vivo measurement images. A validation result shows the volume flow rate (VFR) of the pseudo measurement data given by the PSF agrees with that of the 4D Flow measurement data well and the error is within several percent.
収録刊行物
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- バイオエンジニアリング講演会講演論文集
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バイオエンジニアリング講演会講演論文集 2016.28 (0), _1E36-1_-_1E36-5_, 2016
一般社団法人 日本機械学会
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キーワード
詳細情報 詳細情報について
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- CRID
- 1390282680853556864
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- NII論文ID
- 110010052077
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- ISSN
- 24242829
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可