Intelligent MRI diagnosis of neurological alterations in infants from 4 to 12 months
- Published on 06/05/2024
- Reading time: 8 min.
Salvador Calderon‐Uribe 1, Luis A. Morales‐Hernandez 1, Jose O. De Leo‐Jimenez 2, Emmanuel Resendiz‐Ochoa 1,3, Manuel Toledano‐Ayala 4, Irving A. Cruz‐Albarran 1,3
1
Laboratory of Artificial Vision and Thermography/Mechatronics, Faculty of Engineering
Autonomous University of Queretaro
San Juan del Rio
Queretaro
Mexico
2
Neurodevelopment Research Unit of the Institute of Neurobiology
National Autonomous University of Mexico
Queretaro
Mexico
3
Artificial Intelligence Systems Applied to Biomedical and Mechanical Models, Faculty of Engineering
Autonomous University of Queretaro
San Juan del Rio
Mexico
4
Research and Postgraduate Division of the Faculty of Engineering
Autonomous University of Queretaro
Queretaro
Mexico
Abstract
Magnetic resonance imaging is an essential tool for the identification of neurological problems since it provides relevant information on brain development. The aim of the present work was the detection of neurological alterations in newborns from 4 to 12 months of age by segmentation and analysis of lateral ventricles in magnetic resonance images. For this purpose, an automated deep approach based on U‐net is proposed to segment the cerebral ventricles of the newborn....
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