Abstract #2830

Z-score maps to characterize spinal cord lesions in MS patients: Toward a semi-automated lesion identification/segmentation method

Samira Mchinda^1,2,3, Arnaud Le Troter^1,2, Sarah Demortière⁴, Nilser Laines Medina^1,2,3, Lauriane PINI^1,2, Jean Pelletier^1,2,4, Bertrand Audoin^1,2,4, and Virginie Callot^1,2,3

¹Aix Marseille Univ, CNRS, CRMBM, Marseille, France, ²APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France, ³iLab-Spine, International Associated Laboratory, Montreal, Canada, Marseille, France, ⁴APHM, Hôpital Universitaire Timone, Département de Neurologie, Marseille, France

Synopsis

Keywords: Multiple Sclerosis, Spinal Cord, z-score maps

Manual segmentation, considered as ground truth, remains time consuming and operator dependent. In this work, a strategy to identify and potentially segment individual cervical spinal cord lesions based on z-score maps(ZM) from 3T quantitative T₁-MP2RAGE(T_1q) imaging is proposed. All manually segmented lesions could be visually identified in ZM with a lower threshold(LT) of 2. Conversely, Sixty-nine% of the lesions could be isolated automatically using LT=3 and analyzing the characteristics of the ZM clusters in combination with ZM gradient maps. Four patients (/4) without lesions, and 21/23 controls showed no significant cluster.

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