Can We Encode Intra-and Inter-Variability with Log Jacobian Maps Derived from Brain Morphological Deformations Using Pediatric MRI Scans? - Archive ouverte HAL
Communication Dans Un Congrès Année : 2024

Can We Encode Intra-and Inter-Variability with Log Jacobian Maps Derived from Brain Morphological Deformations Using Pediatric MRI Scans?

Résumé

Understanding individual variabilities in brain development is crucial for unraveling typical and atypical neurodevelopmental patterns. We propose a novel method using 3D CNN to characterize intra-and inter-individual variability based on log Jacobian maps derived from deformation fields. Inter pairs are chosen to match the distribution of intra pairs based on initial age, age interval (ia r experiment) and also sex per pair (ias r experiment). Training our model on log Jacobian maps, we explore two scenarios: one with overlaps between train and test sets derived from the same subjects, and the other with no overlaps, using 10-fold cross-validation. While both approaches achieved commendable results, the no overlap scenario showed slightly higher accuracy and F1 score. This research contributes to modeling neurodevelopmental trajectories for future deviation prediction.

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hal-04680556 , version 1 (28-08-2024)

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  • HAL Id : hal-04680556 , version 1

Citer

Andjela Dimitrijevic, Fanny Dégeilh, Benjamin de Leener. Can We Encode Intra-and Inter-Variability with Log Jacobian Maps Derived from Brain Morphological Deformations Using Pediatric MRI Scans?. MIDL 2024 - Medical Imaging with Deep Learning, Jul 2024, Paris, France. pp.1-5. ⟨hal-04680556⟩
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