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Strain Measurement in the Left Ventricle During Systole with Deformable Image Registration

  • Conference paper
Functional Imaging and Modeling of the Heart (FIMH 2007)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4466))

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Abstract

The objective of this study was to validate a deformable image registration technique, termed Hyperelastic Warping, for left ventricular strain measurement during the systole using cine-gated nontagged MRI with strains measured from tagged MRI. Tagged and non-tagged cine images were obtained on a 1.5 T Siemens Avanto clinical scanner with a TrueFISP imaging sequence. The Hyperelastic Warping solution was evolved using a series of non-tagged images in 10 phases from end-diastole to end-systole. The solution may be considered as ten separate Warping problems with multiple Templates and Targets. At each stage, an active contraction was initially applied to the FE model, and then Warping penalty forces were utilized to generate the final registration. Warping results for circumferential strain were correlated (R2 =0.59) with results obtain from tagged MR images analyzed with a HARP algorithm. Results for fiber stretch, LV twist, and transmural strain distribution were similar to values in the literature. Hyperelastic Warping represents a novel approach for quantifying 3-D regional strains within the myocardium with a high resolution.

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Authors and Affiliations

  1. Department of Bioengineering and, Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT,  

    Nikhil S. Phatak, Steve A. Maas, Alexander I. Veress, Nathan A. Pack, Edward V. R. Di Bella & Jeffrey A. Weiss

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  1. Nikhil S. Phatak
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  2. Steve A. Maas
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  3. Alexander I. Veress
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  4. Nathan A. Pack
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  5. Edward V. R. Di Bella
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  6. Jeffrey A. Weiss
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Frank B. Sachse Gunnar Seemann

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© 2007 Springer Berlin Heidelberg

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Phatak, N.S., Maas, S.A., Veress, A.I., Pack, N.A., Di Bella, E.V.R., Weiss, J.A. (2007). Strain Measurement in the Left Ventricle During Systole with Deformable Image Registration. In: Sachse, F.B., Seemann, G. (eds) Functional Imaging and Modeling of the Heart. FIMH 2007. Lecture Notes in Computer Science, vol 4466. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72907-5_4

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  • DOI: https://doi.org/10.1007/978-3-540-72907-5_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72906-8

  • Online ISBN: 978-3-540-72907-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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