365-01-005 ISMRM Abstract

Improved 4D flow MRI quantification in Patients with Hypertrophic Cardiomyopathy Using Divergence-Free Neural Networks

Primary: Cardiovascular - Flow

Secondary: Analysis Methods - Image Enhancement

365-01-005 · Cardiomyopathies · Monday, 11 May, 8:20 AM–9:15 AM · Digital Posters Row F

Keywords: 4D flow MRI Denoising Hypertrophic cardiomyopathy Phase unwrapping Mass conservation

Accepted

Javier Bisbal ^1,2,3, Julio Sotelo^4,5,6, Hernán Mella^5,7,8, Oliver Welin Odeback^9,10, Joaquin Mura¹¹, David Marlevi¹⁰, Tetsuro Sekine¹², Cristian Tejos^1,3,13,14, Sergio Uribe^5,6,15

¹Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile

²iHEALTH, Millennium Institute for Intelligent Healthcare Engineering, Chile

³Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile

⁴Departamento de Informática, Universidad Técnica Federico Santa María, Valparaíso, Chile

⁵Department of Medical Imaging and Radiation Sciences, School of Primary Allied Health Care, Faculty of Medicine, Nursing and Health Sciences,, Monash University, Melbourne, Australia

⁶Department of Medical Imaging and Radiation Sciences, Monash University, Melbourne, Australia

⁷Escuela de Ingeniería Eléctrica, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile

⁸Center for Interdisciplinary Research in Biomedicine, Biotechnology and Well-Being (CID3B), Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile

⁹Karolinska Institutet, Solna, Sweden

¹⁰Department of Molecular Medicine and Surgery, Karolinska Institutet, Solna, Sweden

¹¹Department of Mechanical Engineering, Universidad Técnica Federico Santa Maria, Santiago, Chile

¹²Department of Radiology, Nippon Medical School, Tokyo, Japan

¹³Pontificia Universidad Católica de Chile, Santiago, Chile

¹⁴Millennium Institute Millennium Institute for Intelligent Healthcare Engineering (iHEALTH), Pontificia Universidad Católica de Chile, Santiago, Chile

¹⁵Monash University, Melbourne, Australia

Presenting Author: Javier Bisbal

Synopsis

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References

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10. Iwata K, et al. Turbulent kinetic energy in HCM using triple-VENC 4D flow MRI. Magn Reson Med Sci. 2024;23(1):39-48. doi: 10.2463/mrms.mp.2022-0051. PMID: 35831156. [doi] [pmid]

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13. Carrillo H, et al. Optimal dual-VENC unwrapping in phase-contrast MRI. IEEE Trans Med Imaging. 2019;38(5):1263-1270. doi: 10.1109/TMI.2018.2882553. PMID: 30462582. [doi] [pmid]

14. Tancik M, et al. Fourier features for high frequency functions. NeurIPS. 2020. Available at: https://arxiv.org/abs/2006.10739

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/365-01-005