ADAPTATIVE ALGORITHMS FOR AUTOMATIC DETECTION OF WHITE MATTER HYPERINTENSITIES IN VASCULAR AND NEUROLOGICAL DISEASE: A SYSTEMATIC REVIEW

Authors

  • Jessica Humara-Fonseca Cuban Center for Neuroscience, Cuba
  • Janet Perodin-Hern´andez Cuban Center for Neuroscience, Cuba
  • Jos´e Enrique Alvarez-Iglesias Cuban Center for Neuroscience, Cuba

Keywords:

neuroimages, algorithm, segmentationn, vascular and neurological diseases

Abstract

This review article covered 20 years of published papers on the detection of lesions of vascular and neurological origin on Magnetic Resonance Imaging (MRI). The article provided concrete suggestions about pulse sequences and algorithms for the jointly detection of lesions in the white matter. The algorithm with the best adaptive features was Histogram. The results suggested to perform comprehensive studies that evaluate segmentation algorithms on different types of lesions.

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Published

2024-06-05

How to Cite

Humara-Fonseca, J., Perodin-Hern´andez, J., & Alvarez-Iglesias, J. E. (2024). ADAPTATIVE ALGORITHMS FOR AUTOMATIC DETECTION OF WHITE MATTER HYPERINTENSITIES IN VASCULAR AND NEUROLOGICAL DISEASE: A SYSTEMATIC REVIEW. Investigación Operacional, 44(4). Retrieved from https://revistas.uh.cu/invoperacional/article/view/9385

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