Quantitative MR Analysis

Magnetic resonance (MR) imaging plays a crucial role in the detection of pathology, the study of brain organization, and clinical research. Every day, a vast amount of data is produced in clinical settings, preventing the use of manual approaches for data analysis. Consequently, the development of accurate, robust, and reliable segmentation techniques for the automatic extraction of anatomical structures is becoming an important challenge in quantitative MR analysis.

In this field our main contributions are: i) the proposition of a new segmentation method based on patch-based estimator, ii) its validation on many cerebral structures from brain to deep brain structures, and iii) its application to quantitative analysis in the context of different pathologies such as Alzheimer’s Disease, Parkinson’s Disease and Infant Autism.