Dr. Julia Guillou Profile

Dr. Julia Guillou

at Univ de Nantes

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Proceedings Article | 16 March 2020 Paper

Brain vasculature segmentation based on human perception criteria

Julia Guillou, Romain Bourcier, Florent Autrusseau

Proceedings Volume 11316, 113160Z (2020) https://doi.org/10.1117/12.2542680

KEYWORDS: Image segmentation, Arteries, Magnetic resonance imaging, Brain, Visual system, Image filtering, Blood vessels, Visual process modeling, Spatial frequencies, Aneurysms

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In this work, we aim to accurately segment the cerebral vasculature on MRI-TOF images. This study is part of a wider project¹ in which we intend to characterize the arterial bifurcations in order to estimate the risk of occurrence of intra-cranial aneurysms (ICA). However, a very accurate segmentation of the vasculature is needed along the Circle of Willis (as this is where most of Intra-Cranial Aneurysms occur) prior to launch the bifurcation characterization. An imprecise segmentation of the Circle of Willis will inevitably lead to a deficient characterization, and thus an erroneous ICA risk estimation. This study was motivated by the lack of efficiency of various State of the Art segmentation methods. In this work, we try to mimic the behavior of the Human Visual System in order to correctly segment the Circle of Willis on TOF imaging of the brain. When Neuroradiologists diagnose an aneurysm on an MRI volume, they modulate the image contrast and luminance so that the vasculature is highlighted within the image. In this work, we first consider the display monitor behavior and we exploit a model that mimics the perception of contrasts by a human observer, in order to accentuate the vasculature for the last segmentation step. Indeed, thanks to this perceptual contrast enhancement, the amplitude of the vasculature moves beyond the rest of the image (parenchyma, cerebrospinal fluid,· · ·) this perceptual contrast stretching then allows to simplify the final thresholding step.

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