464-01-009 ISMRM Abstract

Uncertainty Quantification for Cardiac Diffusion Tensor Imaging

Primary: Diffusion - DWI/DTI/DKI

Secondary: Cardiovascular - Myocardium

464-01-009 · Diffusion MRI Analysis · Tuesday, 12 May, 8:20 AM–9:15 AM · Digital Posters Row E

Keywords: Uncertainty quantification Diffusion Tensor Imaging Cardiac magnetic resonance imaging Statistical analysis Cardiac diffusion MRI

Accepted

Sam Coveney¹, Irvin Teh¹, May Lwin¹, Mehak Asad¹, Isaac Watson¹, Maryam Afzali ^1,2, Erica Dall’Armellina¹, Jurgen E Schneider¹

¹Biomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom

²Division of Cardiovascular Sciences, College of Life Sciences, University of Leicester, Leicester, United Kingdom

Presenting Author: Maryam Afzali

Synopsis

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References

1. Dall'Armellina E, Ennis DB, Axel L, Croisille P, Ferreira PF, Gotschy A, Lohr D, Moulin K, Nguyen C, Nielles-Vallespin S, et al. Cardiac diffusion-weighted and tensor imaging: a Society for Cardiovascular Magnetic Resonance (SCMR) special interest group consensus statement. Journal of cardiovascular magnetic resonance: official journal of the Society for Cardiovascular Magnetic Resonance. 2024; 27(1):101109. doi: 10.1016/j.jocmr.2024.101109 [doi]

2. Coveney, S., Shelley, D., Foster, R., Afzali, M., Poenar, A.-M., Sharrack, N., Plein, S., Dall’Armellina, E., Schneider, J. E., Nguyen, C., & Teh, I. Optimising Cardiac Diffusion Tensor Imaging In Vivo: More Directions or Repetitions? Journal of Cardiovascular Magnetic Resonance. 2025; 101951. doi: 10.1016/j.jocmr.2025.101951 [doi]

3. Teh I., Nguyen C., Kelly C., E. DA, Li D., Plein S., Schneider J.E. Optimisation of diffusion encoding schemes for in vivo cardiac DTI. Paper/Poster presented at: Proc Int Soc Magn Reson Med; 2019; Montreal, Canada.

4. Aliotta, E., Moulin, K., Magrath, P., & Ennis, D. B. (2018). Quantifying precision in cardiac diffusion tensor imaging with second-order motion-compensated convex optimized diffusion encoding. Magnetic Resonance in Medicine, 80(3), 1074–1087. Scopus. doi: 10.1002/mrm.27107 [doi]

5. Chung, S., Lu, Y., & Henry, R. G. Comparison of bootstrap approaches for estimation of uncertainties of DTI parameters. NeuroImage. 2006; 33(2), 531–541. doi: 10.1016/j.neuroimage.2006.07.001 [doi]

6. Coveney, S., Afzali, M., Mueller, L., Teh, I., Das, A., Dall’Armellina, E., Szczepankiewicz, F., Jones, D. K., & Schneider, J. E. Outlier detection in cardiac diffusion tensor imaging: Shot rejection or robust fitting? Medical Image Analysis, 101. 2025; 103386. doi: 10.1016/j.media.2024.103386 [doi]

7. Coveney, S., Afzali, M., Mueller, L., Teh, I., Szczepankiewicz, F., Jones, D. K., & Schneider, J. E. Robust constrained weighted least squares for in vivo human cardiac diffusion kurtosis imaging. Magnetic Resonance in Medicine. 2025; 1-14. doi: 10.1002/mrm.70037 [doi]

8. Das, A., Kelly, C., Teh, I., Nguyen, C., Brown, L., Chowdhary, A., Jex, N., Thirunavukarasu, S., Sharrack, N., Gorecka, M., Swoboda, P., Greenwood, J., Kellman, P., Moon, J., Davies, R., Lopes, L., Joy, G., Plein, S., Schneider, J., Dall’Armellina, E. Phenotyping hypertrophic cardiomyopathy using cardiac diffusion magnetic resonance imaging: the relationship between microvascular dysfunction and microstructural changes. Eur. Heart J. Cardiovasc. Imaging. 2022; 23 (3), 352–362. doi: 10.1093/ehjci/jeab210. [doi]

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http://echo.ismrm.org/p/ISMRM2026/464-01-009