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Link to original content: https://unpaywall.org/10.1007/978-3-319-14678-2_29
Restoration of Phase-Contrast Cardiovascular MRI for the Construction of Cardiac Contractility Atlases | SpringerLink
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Restoration of Phase-Contrast Cardiovascular MRI for the Construction of Cardiac Contractility Atlases

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Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges (STACOM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8896))

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Abstract

Cardiac Atlases are promising tools for the interpretation of functional and anatomical structures of the heart. Myocardial viability is reflected by both global and regional contractile abnormalities. Atlases incorporating contractility information of a population can assist the diagnosis of myocardial disease and myocardial infarction. For the analysis of myocardial contractility phase-contrast MRI (PC-MRI) is emerging as a valuable clinical tool. The myocardial velocity distribution depicted by PC-MRI provides important insights into the intrinsic mechanics of the heart. As with many imaging techniques, there is an inherent trade-off between imaging resolution and noise. The main purpose of this study is to reduce the noise exhibited in phase-contrast MRI by applying a total variation restoration algorithm. The restoration algorithm has been evaluated on a spiral phase-contrast MRI sequence from a group of normal subjects. The results have shown that the proposed method is able to restore the myocardial velocity distribution whilst preserving the fidelity of the underlying contractile behavior.

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Correspondence to Christina Koutsoumpa .

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Koutsoumpa, C., Simpson, R., Keegan, J., Firmin, D., Yang, GZ. (2015). Restoration of Phase-Contrast Cardiovascular MRI for the Construction of Cardiac Contractility Atlases. In: Camara, O., Mansi, T., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds) Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges. STACOM 2014. Lecture Notes in Computer Science(), vol 8896. Springer, Cham. https://doi.org/10.1007/978-3-319-14678-2_29

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  • DOI: https://doi.org/10.1007/978-3-319-14678-2_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14677-5

  • Online ISBN: 978-3-319-14678-2

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