Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
462-06-009 ISMRM Abstract

Efficient MR fingerprinting acquisition & phase-reconstruction framework for quantitative fat–water relaxometry in the breast

Primary: Acquisition & Reconstruction - Quantitative Imaging: relaxometry, multi-parametric, MR Fingerprinting, and synthetic MRI
Secondary: Acquisition & Reconstruction - Pulse Sequence Design: Non-Neuro
462-06-009 · Breast MRI: Technical Developments · Tuesday, 12 May, 4:55 PM–5:50 PM · Digital Posters Row C
Keywords: MR Fingerprinting Breast MRI Phase correction Multiparametric qMRI Quantitative fat-water MR relaxometry
Accepted
Shahrzad Moinian1, Zhilang Qiu2, Yong Chen 3,4, Dan Ma1,5
1Department of Neurosurgery, Duke University School of Medicine, Durham, United States of America
2Psychotic Disorders Division, McLean Hospital, Belmont, United States of America
3Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, United States of America
4Department of Biomedical Engineering, Case Western Reserve University, Cleveland, United States of America
5Department of Biomedical Engineering, Duke University, Durham, United States of America
Presenting Author: Yong Chen

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Noll DC, Pauly JM, Meyer CH, Nishimura DG, Macovskj A. Deblurring for non‐2D Fourier transform magnetic resonance imaging. Magnetic Resonance in Medicine. 1992 Jun;25(2):319-33. https://doi.org/10.1002/mrm.1910250210 [doi]
2. Mitchell DG, Stolpen AH, Siegelman ES, Bolinger L, Outwater EK. Fatty tissue on opposed-phase MR images: paradoxical suppression of signal intensity by paramagnetic contrast agents. Radiology. 1996 Feb;198(2):351-7. https://doi.org/10.1148/radiology.198.2.8596831 [doi]
3. Derakhshan JJ, McDonald ES, Siegelman ES, Schnall MD, Wehrli FW. Characterizing and eliminating errors in enhancement and subtraction artifacts in dynamic contrast‐enhanced breast MRI: Chemical shift artifact of the third kind. Magnetic resonance in medicine. 2018 Apr;79(4):2277-89. https://doi.org/10.1002/mrm.26879 [doi]
4. Delfaut EM, Beltran J, Johnson G, Rousseau J, Marchandise X, Cotten A. Fat suppression in MR imaging: techniques and pitfalls. Radiographics. 1999 Mar;19(2):373-82. https://doi.org/10.1148/radiographics.19.2.g99mr03373 [doi]
5. Nolte T, Gross‐Weege N, Doneva M, Koken P, Elevelt A, Truhn D, Kuhl C, Schulz V. Spiral blurring correction with water–fat separation for magnetic resonance fingerprinting in the breast. Magnetic Resonance in Medicine. 2020 Apr;83(4):1192-207. https://doi.org/10.1002/mrm.27994 [doi]
6. Sarno A, Mettivier G, di Franco F, Varallo A, Bliznakova K, Hernandez AM, Boone JM, Russo P. Dataset of patient‐derived digital breast phantoms for in silico studies in breast computed tomography, digital breast tomosynthesis, and digital mammography. Medical Physics. 2021 May;48(5):2682-93. https://doi.org/10.1002/mp.14826 [doi]
7. Hu S, Jordan S, Boyacioglu R, Rozada I, Troyer M, Griswold M, McGivney D, Ma D. A fast MR fingerprinting simulator for direct error estimation and sequence optimization. Magnetic resonance imaging. 2023 May 1;98:105-14. https://doi.org/10.1016/j.mri.2023.01.011 [doi]
8. Stupic KF, Ainslie M, Boss MA, Charles C, Dienstfrey AM, Evelhoch JL, et al. A standard system phantom for magnetic resonance imaging. Magnetic Resonance in Med. 2021 Sep;86(3):1194–211. https://doi.org/10.1002/mrm.28779 [doi]
9. Chen Y, Panda A, Pahwa S, Hamilton JI, Dastmalchian S, McGivney DF, et al. Three-dimensional MR Fingerprinting for Quantitative Breast Imaging. Radiology. 2019 Jan;290(1):33–40. https://doi.org/10.1148/radiol.2018180836 [doi]
10. Edden RA, Smith SA, Barker PB. Longitudinal and multi‐echo transverse relaxation times of normal breast tissue at 3 Tesla. Journal of Magnetic Resonance Imaging. 2010 Oct;32(4):982-7. https://doi.org/10.1002/jmri.22306 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/462-06-009