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Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification by Philps, Ben; Hernandez, Maria del C. Valdes; Qin, Chen; Clancy, Una; Sakka, Eleni; Maniega, Susana Munoz; Bastin, Mark E.; Jochems, Angela C. C.; Wardlaw, Joanna M.; Bernabeu, Miguel O.; Initiative, Alzheimers Disease Neuroimaging is a scholarly article available to read on EtoBox.

What is Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification about?

White Matter Hyperintensities (WMH) are key neuroradiological markers of small vessel disease present in brain MRI. Assessment of WMH is important in research and clinics. However, WMH are challenging to segment due to their high variability in shape, location, size, poorly defined borders, and similar intensity profile to other pathologies (e.g stroke lesions) and artefacts (e.g head motion). In this work, we apply the most effective techniques for uncertainty quantification (UQ) in segmentation to the WMH segmentation task across multiple test-time data distributions. We find a combination of Stochastic Segmentation Networks with Deep Ensembles yields the highest Dice and lowest Absolute Volume Difference % (AVD) score on in-domain and out-of-distribution data. We demonstrate the downstream utility of UQ, proposing a novel method for classification of the clinical Fazekas score using spatial features extracted for WMH segmentation and UQ maps. We show that incorporating WMH uncertainty information improves Fazekas classification performance and calibration, with median class balanced accuracy for classification models with (UQ and spatial WMH features)/(spatial WMH features)/(WMH

Author

Philps, Ben; Hernandez, Maria del C. Valdes; Qin, Chen; Clancy, Una; Sakka, Eleni; Maniega, Susana Munoz; Bastin, Mark E.; Jochems, Angela C. C.; Wardlaw, Joanna M.; Bernabeu, Miguel O.; Initiative, Alzheimers Disease Neuroimaging

Published

2024

Language

EN