Assessment of mesial temporal sclerosis through MRI processing

D. Castillo; R. Samaniego; Y. Jiménez; A. Sánchez; J. Carrión; M. J. Rodríguez Álvarez

doi:10.1117/12.2569043

20 August 2020 Assessment of mesial temporal sclerosis through MRI processing

D. Castillo , R. Samaniego, Y. Jiménez, A. Sánchez, J. Carrión, M. J. Rodríguez Álvarez

Proceedings Volume 11469, Emerging Topics in Artificial Intelligence 2020; 114690W (2020) https://doi.org/10.1117/12.2569043
Event: SPIE Nanoscience + Engineering, 2020, Online Only

Abstract

Mesial temporal sclerosis (MTS) is the principal cause of complex epilepsy, is manifested principally by gliosis and hippocampal volume loss. This project aims to develop an algorithm that allows automatic measurement of hippocampal volume and signal intensity in magnetic resonance imaging. The algorithm developed uses preprocessing of the images to reduce the artifacts and for the extraction of the features were used techniques of machine learning (support vector machine) and texture analysis. Results can help to optimize time in the assessment of the mesial temporal sclerosis and can contribute to the best training to the youngers neuroradiologists.

Conference Presentation

Citation Download Citation

D. Castillo , R. Samaniego, Y. Jiménez, A. Sánchez, J. Carrión, and M. J. Rodríguez Álvarez "Assessment of mesial temporal sclerosis through MRI processing", Proc. SPIE 11469, Emerging Topics in Artificial Intelligence 2020, 114690W (20 August 2020); https://doi.org/10.1117/12.2569043

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