368-02-012 ISMRM Abstract

Optimizing Cartilage Segmentation with Conditional Wavelet Diffusion-Driven Knee MRI Contrast Augmentation

Primary: Musculoskeletal - Cartilage

Secondary: Analysis Methods - Generative Models

368-02-012 · Segmentation for Musculoskeletal MRI Applications · Monday, 11 May, 9:15 AM–10:10 AM · Digital Posters Row I

Keywords: Wavelet transform Medical Image Segmentation Conditional Diffusion model Knee MRI Medical image synthesis

Accepted

Ashok Vardhan Addala¹, Fei Tan¹, Bruno Astuto¹, Ravi Soni¹

¹GE HealthCare, San Ramon, United States of America

Presenting Author: Dattesh Dayanand Shanbhag

Synopsis

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References

1. Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer High-Resolution Image Synthesis with Latent Diffusion Models. https://arxiv.org/abs/2112.10752A

2. Friedrich, P., Wolleb, J., Bieder, F., Durrer, A., Cattin, P.C. (2025). WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis. In: Mukhopadhyay, A., Oksuz, I., Engelhardt, S., Mehrof, D., Yuan, Y. (eds) Deep Generative Models. DGM4MICCAI 2024. Lecture Notes in Computer Science, vol 15224. Springer, Cham. https://doi-org.gehc-herl.remotexs.co/10.1007/978-3-031-72744-3_2

3. Paul Friedrich, Alicia Durrer, Julia Wolleb, Philippe C. Cattin. cWDM: Conditional Wavelet Diffusion Models for Cross-Modality 3D Medical Image Synthesis.

4. Jonathan Ho, Ajay Jain, Pieter Abbeel. Denoising Diffusion Probabilistic Models. https://arxiv.org/abs/2006.11239

5. F. Milletari, N. Navab, S. Ahmadi. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation. arXiv: 1606.04797. 2016

6. Ambellan, F., Tack, A., Ehlke, M., & Zachow, S. (2019). Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework. Proceedings of the International Workshop on Osteoarthritis Imaging (OA Imaging), in conjunction with MICCAI 2019. Springer.

7. B. A. A. Nunes, I. Flament, N. Namiri, R. Shah, U. Bharadwaj, T. Link, M. Bucknor, V. Pedoia, S. Majumdar, “Automatic Deep Learning Assisted Detection and Grading of Abnormalities in Knee MRI Studies”, Radiology: AI, Jan 2021, doi: 10.1148/ryai.2021200165. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/368-02-012