Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
561-02-014 ISMRM Abstract

Automatic Fibroglandular Tissue Volume Estimation for Workflow Efficiency in Breast Cancer Screening

Primary: Analysis Methods - Classification and Prediction
Secondary: Body - Breast
561-02-014 · Classification and Analysis in the Body · Wednesday, 13 May, 9:15 AM–10:10 AM · Digital Posters Row B
Keywords: Abbreviated/Rapid MRI Breast cancer MRI for Breast Screening Dense breast Deep learning
Accepted
Shivakumar Swamy Shivalingappa1, Keerthika Krishnakumar1, Thasmai B R Gowda1, Arathi Sreekumari2, Robert Grimm 3, Heinrich von Busch4, Kai Geissler5, Ajaikumar Basavalinga Sadasivaiah1, Pratiksha Yadav6
1Healthcare Global (HCG) Enterprises Ltd., BENGALURU, India
2Siemens Healthineers IN, BENGALURU, India
3Siemens Healthineers AG, Erlangen, Germany
4Siemens Healthineers AG, Forchheim, Germany
5Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
6Dr. D. Y. Patil Medical College, Hospital, and Research Centre, India
Presenting Author: Robert Grimm

Synopsis

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References

1. Pillai, R.N., Alex, A., M.S., N. et al. Economic burden of breast cancer in India, 2000–2021 and forecast to 2030. Sci Rep.2025; 15:1323. https://doi.org/10.1038/s41598-024-83896-1 [doi]
2. Sitges C, Mann RM. Breast MRI to Screen Women with Extremely Dense Breasts. J Magn Reson Imaging. 2025 ;62(1):58-72. PMID: 39853811 [pmid]
3. Müller-Franzes, G., Müller-Franzes, F., Huck, L. et al. Fibroglandular tissue segmentation in breast MRI using vision transformers: a multi-institutional evaluation. Sci Rep. 2023; 13:14207. https://doi.org/10.1038/s41598-023-41331-x [doi]
4. Wu S, Weinstein SP, Conant EF, Kontos D. Automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI using an atlas-aided fuzzy C-means method. Med Phys. 2013; 40(12):122302. doi: 10.1118/1.4829496 [doi]
5. Yang Zhang, Jeon-Hor Chen, Kai-Ting Chang, Vivian Youngjean Park, Min Jung Kim, Siwa Chan, Peter Chang, Daniel Chow, Alex Luk, Tiffany Kwong, Min-Ying Su, Automatic Breast and Fibroglandular Tissue Segmentation in Breast MRI Using Deep Learning by a Fully Convolutional Residual Neural Network U-Net, Academic Radiology. 2019; 26(11):1526-1535. https://doi.org/10.1016/j.acra.2019.01.012 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/561-02-014