2026-04-13T02:06:32Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/2199742025-12-05T09:56:11Zcom_2072_1057col_2072_478917col_2072_478920

Pre- to post-contrast breast MRI synthesis for enhanced tumour segmentation Osuala, Richard Joshi, Smriti Tsirikoglou, Apostolia Garrucho, Lidia López Pinaya, Walter Hugo Díaz, Oliver Lekadir, Karim, 1977- Càncer de mama Aprenentatge automàtic Substàncies de contrast Breast cancer Machine learning Contrast media (Diagnostic imaging) Despite its benefits for tumour detection and treatment, the administration of contrast agents in dynamic contrast-enhanced MRI (DCE-MRI) is associated with a range of issues, including their invasiveness, bioaccu- mulation, and a risk of nephrogenic systemic fibrosis. This study explores the feasibility of producing synthetic contrast enhancements by translating pre-contrast T1-weighted fat-saturated breast MRI to their corresponding first DCE-MRI sequence leveraging the capabilities of a generative adversarial network (GAN). Additionally, we introduce a Scaled Aggregate Measure (SAMe) designed for quantitatively evaluating the quality of synthetic data in a principled manner and serving as a basis for selecting the optimal generative model. We assess the generated DCE-MRI data using quantitative image quality metrics and apply them to the downstream task of 3D breast tumour segmentation. Our results highlight the potential of post-contrast DCE-MRI synthesis in enhancing the robustness of breast tumour segmentation models via data augmentation. Our code is available at https://github.com/RichardObi/pre_post_synthesis. 2025-03-25T10:21:23Z 2025-03-25T10:21:23Z 2024 info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/acceptedVersion https://hdl.handle.net/2445/219974 eng Versió postprint de la comunicació publicada a: https://doi.org/10.1117/12.3006961 Comunicació a: Proc. SPIE 12926, Medical Imaging 2024: Image Processing, 129260Y (2 April 2024) Proceedings SPIE 12926 https://doi.org/10.1117/12.3006961 (c) SPIE, 2024 info:eu-repo/semantics/openAccess 12 p. application/pdf SPIE Comunicacions a congressos (Matemàtiques i Informàtica)