Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
660-02-002 ISMRM Abstract

Quantitative Susceptibility Mapping and Susceptibility-Weighted Imaging in the Breast using SMURF Fat-Water Imaging

Primary: Contrast Mechanisms - Fat & Fat/Water Separation
Secondary: Body - Breast
660-02-002 · Water-Fat MRI · Thursday, 14 May, 9:25 AM–10:20 AM · Digital Posters Row A
Keywords: Breast Quantitative Susceptibility mapping Susceptibility-weighted Imaging Fat-water separation Simultaneous Multiple Resonance Frequency Imaging
Accepted
Michéle Steinrötter 1,2, Beata Bachrata3, Javier Silva1,4,5, Lena Nohava1,6,7, Elmar Laistler1,6,7, Simon Robinson1,2,8
1High Field MR Center, Medical University of Vienna, Vienna, Austria
2Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
3Department of Medical Engineering, Carinthia University of Applied Sciences, Klagenfurt, Austria
4Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile
5Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile
6Christian Doppler Laboratory for Patient-Centered Breast Imaging, Medical University of Vienna, Vienna, Austria
7Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
8Christian Doppler Laboratory for MR Imaging Biomarkers (BIOMAK), Austria, Austria
Presenting Author: Michéle Steinrötter

Synopsis

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References

1. American Cancer Society. Cancer Facts & Figures 2024. Atlanta (GA): American Cancer Society; 2024.
2. Henrot P, Leroux A, Barlier C, Genin P. Breast microcalcifications: the lesions in anatomical pathology. Diagn Interv Imaging. 2014;95(2):141–152. doi: 10.1016/j.diii.2013.12.011. [doi]
3. Kim S, Tran TXM, Song H, Park B. Microcalcifications, mammographic breast density, and risk of breast cancer: a cohort study. Breast Cancer Res. 2022;24:96. doi:10.1186/s13058-022-01594-0. [doi]
4. Azam S, Eriksson M, Sjölander A, Gabrielson M, Hellgren R, Czene K, Hall P. Mammographic microcalcifications and risk of breast cancer. Br J Cancer. 2021;125(5):759-765. doi: 10.1038/s41416-021-01459-x. [doi]
5. Weigel S, Heindel W, Heidrich J, Hense HW, Heidinger O. Digital mammography screening: sensitivity of the programme dependent on breast density. Eur Radiol. 2017;27(7):2744-2751. doi: 10.1007/s00330-016-4636-4. [doi]
6. Mann RM, Athanasiou A, Baltzer PAT, Camps-Herrero J, Clauser P, Fallenberg EM, Forrai G, Fuchsjäger MH, Helbich TH, Killburn-Toppin F, Lesaru M, Panizza P, Pediconi F, Pijnappel RM, Pinker K, Sardanelli F, Sella T, Thomassin-Naggara I, Zackrisson S, Gilbert FJ, Kuhl CK; European Society of Breast Imaging (EUSOBI). Breast cancer screening in women with extremely dense breasts: recommendations of the European Society of Breast Imaging (EUSOBI). Eur Radiol. 2022;32(6):4036-4045. doi:10.1007/s00330-022-08617-6. [doi]
7. Colin C, Foray N, Di Leo G, Sardanelli F. Radiation induced breast cancer risk in BRCA mutation carriers from low-dose radiological exposures: a systematic review. Radioprotection. 2017;52(4):231-240. doi:10.1051/radiopro/2017034. [doi]
8. Oot RF, New PF, Pile-Spellman J, Rosen BR, Shoukimas GM, Davis KR. The detection of intracranial calcifications by MR. AJNR Am J Neuroradiol. 1986;7(5):801–809.
9. Avrahami E, Cohn DF, Feibel M, Tadmor R. MRI demonstration and CT correlation of the brain in patients with idiopathic intracerebral calcification. J Neurol. 1994;241(6):381-384. doi: 10.1007/BF02033355. [doi]
10. Tsuchiya K, Makita K, Furui S, Nitta K. MRI appearances of calcified regions within intracranial tumors. Neuroradiology. 1993;35:341–344. doi:10.1007/BF00588364. [doi]
11. de Rochefort L, Liu T, Kressler B, Liu J, Spincemaille P, Lebon V, Wu J, Wang Y. Quantitative susceptibility map reconstruction from MR phase data using Bayesian regularization: validation and application to brain imaging. Magn Reson Med. 2010;63(1):194–206. doi:10.1002/mrm.22187. [doi]
12. Bachrata B, Ropele S, Fazekas F, Reishofer G, Robinson SD. Fat-water imaging using multi-band principles (SMURF). Magn Reson Med. 2021;85(3):1379-1396. doi: 10.1002/mrm.28519. [doi]
13. Breuer FA, Blaimer M, Heidemann RM, Mueller MF, Griswold MA, Jakob PM. Controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA) for multi-slice imaging. Magn Reson Med. 2005;53(3):684–691. doi:10.1002/mrm.20401. [doi]
14. Obermann M, Nohava L, Frass-Kriegl R, Soanca O, Ginefri JC, Felblinger J, Clauser PAT, Baltzer PAT, Laistler E. Panoramic magnetic resonance imaging of the breast with a wearable coil vest. Invest Radiol. 2023;58(11):799-810. doi: 10.1097/RLI.0000000000000991. [doi]
15. Setsompop K, Gagoski BA, Polimeni JR, Witzel T, Wedeen VJ, Wald LL. Blipped-Controlled Aliasing in Parallel Imaging (blipped-CAIPI) for simultaneous multi-slice EPI with reduced g-factor penalty. Magn Reson Med. 2012;67(5):1210-1224. doi:10.1002/mrm.23097. [doi]
16. Dymerska B, Eckstein K, Bachrata B, Siow B, Trattnig S, Shmueli K, Robinson SD. Phase unwrapping with a rapid open-source minimum spanning tree algorithm (ROMEO). Neuroimage. 2021;85(4):2294-2308. doi: 10.1002/mrm.28563. [doi]
17. Sun H, Wilman AH. Background field removal using spherical mean value filtering and Tikhonov regularization. Magn Reson Med. 2013;71(3):1151–1157. doi:10.1002/mrm.24765. [doi]
18. Wei H, Dibb R, Zhou Y, Sun Y, Xu J, Wang N, Liu C. Streaking artifact reduction for quantitative susceptibility mapping of sources with large dynamic range. Neuroimage. 2015;28(10):1294-303. doi: 10.1002/nbm.3383. [doi]
19. Nashwan N, Wilman AH. Thin slab quantitative susceptibility mapping. Magn Reson Med. 2023;90(6):2290-2305. doi: 10.1002/mrm.29800. [doi]
20. Eckstein K, Bachrata B, Hangel G, Widhalm G, Enzinger C, Barth M, Trattnig S, Robinson SD. Improved susceptibility-weighted imaging at ultra-high field using bipolar multi-echo acquisition and optimized image processing: CLEAR-SWI. Neuroimage. 2021;15:237:118175. doi: 10.1016/j.neuroimage.2021.118175. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/660-02-002