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Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI
Abstract : So far, fingerprinting studies have focused on identifying features from single-modality MRI data, which capture individual characteristics in terms of brain structure, function, or white matter microstruc-ture. However, due to the lack of a framework for comparing across multiple modalities, studies based on multi-modal data remain elusive. This paper presents a multi-modal analysis of genetically-related subjects to compare and contrast the information provided by various MRI modalities. The proposed framework represents MRI scans as bags of SIFT features, and uses these features in a nearest-neighbor graph to measure subject similarity. Experiments using the T1/T2-weighted MRI and diffusion MRI data of 861 Human Connectome Project subjects demonstrate strong links between the proposed similarity measure and genetic proximity.
Cited literature [16 references]
https://hal.inria.fr/hal-01589647
Contributor : Olivier Colliot <>
Submitted on : Monday, September 18, 2017 - 6:22:28 PM
Last modification on : Thursday, August 20, 2020 - 3:05:46 AM
Contributor : Olivier Colliot <>
Submitted on : Monday, September 18, 2017 - 6:22:28 PM
Last modification on : Thursday, August 20, 2020 - 3:05:46 AM
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