570-01-169 ISMRM Abstract

"Contrast or Not? Leveraging DINOv2 for Robust Detection of Contrast Uptake in Dynamic MRI"

Primary: Analysis Methods - Foundation Models

Secondary: Analysis Methods - Classification and Prediction

570-01-169 · AI Applications in Body MRI · Wednesday, 13 May, 8:20 AM–9:15 AM · Traditional Posters | Exhibition Hall

Keywords: Machine Learning/Artificial Intelligence Foundation model Contrast Enhancement Detection Dynamic contrast-enhanced MRI (DCE-MRI)

Accepted

Dattesh Dayanand Shanbhag ¹, Gurunath Reddy Madhumani¹, Seyed Iman Zare Estakhraji², Marc Lebel³, Sajith Rajamani¹, Uday Patil¹

¹GE HealthCare, Bangalore, India

²GE HealthCare, Menlo Park, United States of America

³GE HealthCare, AB CA, United States of America

Presenting Author: Dattesh Dayanand Shanbhag

Synopsis

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References

1. Huang, W., Tudorica, A., Chui, S., Kemmer, K., Naik, A., Troxell, M., Oh, K., Roy, N., Afzal, A., & Holtorf, M. (2014). Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge (QIN Breast DCE-MRI) (Version 2) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/k9/tcia.2014.a2n1ixox [doi]

2. Breast QIN: Li, X., Abramson, R. G., Arlinghaus, L. R., Chakravarthy, A. B., Abramson, V. G., Sanders, M., & Yankeelov, T. E. (2016). Data From QIN-BREAST (Version 2) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2016.21JUEBH0 [doi]

3. ISP-Y2: Li, W., Newitt, D. C., Gibbs, J., Wilmes, L. J., Jones, E. F., Arasu, V. A., Strand, F., Onishi, N., Nguyen, A. A.-T., Kornak, J., Joe, B. N., Price, E. R., Ojeda-Fournier, H., Eghtedari, M., Zamora, K. W., Woodard, S. A., Umphrey, H., Bernreuter, W., Nelson, M., … Hylton, N. M. (2022). I-SPY 2 Breast Dynamic Contrast Enhanced MRI Trial (ISPY2) (Version 1) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.D8Z0-9T85 [doi]

4. Erickson, B. J., Kirk, S., Lee, Y., Bathe, O., Kearns, M., Gerdes, C., Rieger-Christ, K., & Lemmerman, J. (2016). The Cancer Genome Atlas Liver Hepatocellular Carcinoma Collection (TCGA-LIHC) (Version 5) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2016.IMMQW8UQ [doi]

5. Madabhushi, A., & Feldman, M. (2016). Fused Radiology-Pathology Prostate Dataset (Prostate Fused-MRI-Pathology) . The Cancer Imaging Archive. doi; 10.7937/k9/TCIA.2016.tlpmr1am [doi]

6. Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, et al., DINOv2: Learning Robust Visual Features without Supervision , arXiv preprint, arXiv:2304.07193 [cs.CV], 2023.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/570-01-169