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Automatic Delineation of Focal Cortical Dysplasia Lesions on MRI Olivier Colliot, Tommaso Mansi, Neda Bernasconi,Vronique Naessens, Dennis Klironomos and

Summary: Automatic Delineation of Focal Cortical Dysplasia Lesions on MRI
Olivier Colliot, Tommaso Mansi, Neda Bernasconi,Véronique Naessens, Dennis Klironomos and
Andrea Bernasconi
Neurology & Neurosurgery and Brain Imaging Center, Montreal Neurological Institute,
Montreal, Quebec, Canada, H3A2B4
Rationale: MRI has allowed the recognition of focal cortical dysplasia (FCD) in an increasing
number of patients. The precise delineation of FCD is important since freedom from seizures
after surgery is closely related to the extent of resection of the pathological tissue. FCD lesions
are difficult to delineate on MRI due to their ill-defined boundaries and the complexity of the
cortex. We previously developed an automatic classifier that successfully detected FCD in the
majority of cases (Antel et al. Neuroimage 2003; 19: 1748-59). However, the classifier sampled
on average only 20% of the lesion extent. Our purpose was to design and evaluate an automatic
method for accurate delineation of FCD on MRI.
Methods: We studied 18 patients with MRI-visible FCD and partial epilepsy. High-resolution
MRI was acquired on a 1.5T scanner using a T1-FFE sequence (1mm3
isotropic voxels). To
automatically delineate the FCD, we used a 3D deformable model that makes a surface evolve
from an initial position towards the boundaries of the lesion. The initial position was obtained
using our previously developed classifier under supervision of an expert observer. The
deformable model evolution was driven by feature maps representing three known visual


Source: Ayache, Nicholas - INRIA


Collections: Computer Technologies and Information Sciences; Engineering