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Micro/Nano-scale Strain Distribution Measurement from Sampling Moiré Fringes
Published on: May 23, 2017
DENSE and HARP: two views on the same technique of phase-based strain imaging
Joost P A Kuijer1, Mark B M Hofman, Jaco J M Zwanenburg
1Department of Physics and Medical Technology, VU University Medical Center, Amsterdam, the Netherlands. jpa.kuijer@vumc.nl
Journal of Magnetic Resonance Imaging : JMRI
|November 11, 2006
Summary
Displacement encoding with stimulated echoes (DENSE) and harmonic phase (HARP) imaging techniques are more similar than previously thought. Merging these methods offers a more general understanding of phase-based strain imaging.
Area of Science:
- Cardiovascular Imaging
- Biomedical Engineering
- Medical Physics
Background:
- Harmonic phase (HARP) and displacement encoding with stimulated echoes (DENSE) are key techniques in cardiac motion analysis.
- Historically, HARP evolved from myocardial tagging, while DENSE originated from stimulated echo and displacement encoding principles.
Purpose of the Study:
- To critically evaluate and compare the imaging and reconstruction strategies of DENSE and HARP.
- To elucidate the actual differences and similarities between these two prominent phase-based strain imaging techniques.
Main Methods:
- A detailed point-by-point discussion comparing HARP and DENSE methodologies.
- Examination of the historical development and recent advancements in both techniques.
- Analysis of imaging and reconstruction strategies employed by HARP and DENSE.
Main Results:
- Apparent differences between HARP and DENSE are largely non-existent upon closer examination.
- Both techniques have evolved, incorporating similar improvements and diminishing distinct features.
- The underlying principles and applications show significant overlap.
Conclusions:
- HARP and DENSE are often treated as distinct, but a more unified approach is warranted.
- Merging the frameworks of HARP and DENSE simplifies understanding of their respective advantages and disadvantages.
- A generalized framework enhances comprehension of phase-based strain imaging beyond individual techniques.
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