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ConvNets for automatic detection of polyglutamine SCAs from brain MRIs: state of the art applications

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Abstract

Polyglutamine spinocerebellar ataxias (polyQ SCAs) are a group of neurodegenerative diseases, clinically and genetically heterogeneous, characterized by loss of balance and motor coordination due to dysfunction of the cerebellum and its connections. The diagnosis of each type of polyQ SCA, alongside with genetic tests, includes medical images analysis, and its automation may help specialists to distinguish between each type. Convolutional neural networks (ConvNets or CNNs) have been recently used for medical image processing, with outstanding results. In this work, we present the main clinical and imaging features of polyglutamine SCAs, and the basics of CNNs. Finally, we review studies that have used this approach to automatically process brain medical images and may be applied to SCAs detection. We conclude by discussing the possible limitations and opportunities of using ConvNets for SCAs diagnose in the future.

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Notes

  1. These data were provided for use in the MICCAI 2012 Grand Challenge and Workshop on Multi-Atlas Labeling [B. Landman, S. Warfield, MICCAI 2012 workshop on multi-atlas labeling, in: MICCAI Grand Challenge and Workshop on Multi-Atlas Labeling, CreateSpace Independent Publishing Platform, Nice, France, 2012.]. The data is released under the Creative Commons Attribution-NonCommercial license (CC BY-NC) with no end date. Original MRI scans are from OASIS (https://www.oasis-brains.org/). Labeling were provided by Neuromorphometrics, Inc. (http://Neuromorphometrics.com/) under academic subscription.

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  1. CAD/CAM Study Center, University of Holguín, Holguín, Cuba

    Robin Cabeza-Ruiz & Roberto Pérez-Rodríguez

  2. Cuban Academy of Sciences, La Habana, Cuba

    Luis Velázquez-Pérez & Roberto Pérez-Rodríguez

  3. Center for the Research and Rehabilitation of Hereditary Ataxias, Holguín, Cuba

    Luis Velázquez-Pérez

  4. Department of Neurology, RWTH Aachen University, Aachen, Germany

    Kathrin Reetz

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Cabeza-Ruiz, R., Velázquez-Pérez, L., Pérez-Rodríguez, R. et al. ConvNets for automatic detection of polyglutamine SCAs from brain MRIs: state of the art applications. Med Biol Eng Comput 61, 1–24 (2023). https://doi.org/10.1007/s11517-022-02714-w

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