Error propagation model for microscopic magnetic resonance elastography shear-wave images
Magnetic Resonance Imaging, ISSN: 0730-725X, Vol: 25, Issue: 1, Page: 94-100
2007
- 6Citations
- 29Usage
- 28Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations6
- Citation Indexes6
- CrossRef3
- Usage29
- Abstract Views29
- Captures28
- Readers28
- 28
Article Description
Microscopic magnetic resonance elastography is a high-resolution method for visualizing shear waves and assessing the biomechanical viscoelastic properties of small biological samples. In this work, we used error propagation to develop a simple analytical model that relates the signal-to-noise ratio of MR magnitude images to the variance in shear-wave maps collected using gradient-echo and spin-echo phase-contrast pulse sequences. Our model predicts results for shear-wave images in phantoms, which match the experimentally observed phase variance within 8%. This model can be used to optimize MR pulse sequences for elastography studies, as well as other phase-difference techniques in MRI.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0730725X06003274; http://dx.doi.org/10.1016/j.mri.2006.09.040; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=33846018083&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/17222720; https://linkinghub.elsevier.com/retrieve/pii/S0730725X06003274; https://scholarlycommons.pacific.edu/soecs-facarticles/8; https://scholarlycommons.pacific.edu/cgi/viewcontent.cgi?article=1025&context=soecs-facarticles; https://dx.doi.org/10.1016/j.mri.2006.09.040
Elsevier BV
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