Novel feature-based method for multi-modal biomedical image registration compared to intensity-based technique.

ABSTRACT: Multimodal image registration plays a crucial role in biomedical research, enabling the integration of complementary information from different imaging techniques. We present a novel feature-based approach for multimodal image registration, alongside traditional intensity-based methods. Our method, inspired by SPP-net architecture, employs multi-level feature extraction for robust image alignment. Additionally, we perform t-SNE dimensionality reduction on the MALDI-MSI dataset to enhance feature discrimination and visualization. We evaluated both approaches using datasets from the ANHIR Grand Challenge and mass spectrometry imaging modalities (LA-ICP-MS and MALDI-MSI). The proposed feature-based method achieved comparable accuracy to optimized intensity-based approaches, with Dice Coeffici

SUBMITTER: Shojaei MJ 

PROVIDER: S-EPMC12317088 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature