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Distinguishing type II focal cortical dysplasias from normal cortex: A novel normative modeling approach
- Source :
- NeuroImage: Clinical, Vol 30, Iss, Pp 102565-(2021), NeuroImage : Clinical
- Publication Year :
- 2021
- Publisher :
- Elsevier, 2021.
-
Abstract
- Highlights • Multiscale image filters provide a good representation of local cortical appearance. • Most FCD lesions and some normal cortical regions appear as outliers in our model. • FCDs appear similar to the anterior insula and some paralimbic cortical regions. • Our constrained outlier detection approach allows for automated FCD detection.<br />Objective Focal cortical dysplasias (FCDs) are a common cause of apparently non-lesional drug-resistant focal epilepsy. Visual detection of subtle FCDs on MRI is clinically important and often challenging. In this study, we implement a set of 3D local image filters adapted from computer vision applications to characterize the appearance of normal cortex surrounding the gray-white junction. We create a normative model to serve as the basis for a novel multivariate constrained outlier approach to automated FCD detection. Methods Standardized MPRAGE, T2 and FLAIR MR images were obtained in 15 patients with radiologically or histologically diagnosed FCDs and 30 healthy volunteers. Multiscale 3D local image filters were computed for each MR contrast then sampled onto the gray-white junction surface. Using an iterative Gaussianization procedure, we created a normative model of cortical variability in healthy volunteers, allowing for identification of outlier regions and estimates of similarity in normal cortex and FCD lesions. We used a constrained outlier approach following local normalization to automatically detect FCD lesions based on projection onto the mean FCD feature vector. Results FCDs as well as some normal cortical regions such as primary sensorimotor and paralimbic regions appear as outliers. Regions such as the paralimbic regions and the anterior insula have similar features to FCDs. Our constrained outlier approach allows for automated FCD detection with 80% sensitivity and 70% specificity. Significance A normative model using multiscale local image filters can be used to describe the normal cortical variability. Although FCDs appear similar to some cortical regions such as the anterior insula and paralimbic cortices, they can be identified using a constrained outlier detection approach. Our method for detecting outliers and estimating similarity is generic and could be extended to identification of other types of lesions or atypical cortical areas.
- Subjects :
- Computer science
Cognitive Neuroscience
Feature vector
Computer applications to medicine. Medical informatics
Normalization (image processing)
R858-859.7
Fluid-attenuated inversion recovery
Paralimbic cortex
050105 experimental psychology
Focal cortical dysplasia
03 medical and health sciences
0302 clinical medicine
Imaging, Three-Dimensional
Cortex (anatomy)
Machine learning
medicine
Humans
0501 psychology and cognitive sciences
Radiology, Nuclear Medicine and imaging
Projection (set theory)
RC346-429
health care economics and organizations
Epilepsy
business.industry
05 social sciences
Pattern recognition
Regular Article
Magnetic Resonance Imaging
Malformations of Cortical Development
Structural MRI
medicine.anatomical_structure
Neurology
Malformations of Cortical Development, Group I
Outlier
Anomaly detection
Neurology (clinical)
Artificial intelligence
Neurology. Diseases of the nervous system
business
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 22131582
- Volume :
- 30
- Database :
- OpenAIRE
- Journal :
- NeuroImage: Clinical
- Accession number :
- edsair.doi.dedup.....208ebd9361598963954fdf557d6b20b4