Abstract
The content-based retrieval of diffusion magnetic resonance (dMR) imaging data would enable a wide range of analyses on large databases with dMR images.This paper proposes a content-based retrieval framework for dMR images to explore the use of Diffusion Tensor Imaging (DTI) - derived parameters. The propagation graph algorithm is proposed for the query-centric retrieval of dMR subjects and the fusion of different features. The proposed framework was evaluated with ADNI database with 233 baseline dMR images. The preliminary results show that the proposed retrieval framework is able to retrieve subjects with similar neurodegenerative patterns.
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Liu, S. et al. (2015). Content-Based Retrieval of Brain Diffusion Magnetic Resonance Image. In: Müller, H., Jimenez del Toro, O., Hanbury, A., Langs, G., Foncubierta Rodriguez, A. (eds) Multimodal Retrieval in the Medical Domain. MRDM 2015. Lecture Notes in Computer Science(), vol 9059. Springer, Cham. https://doi.org/10.1007/978-3-319-24471-6_5
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DOI: https://doi.org/10.1007/978-3-319-24471-6_5
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