{"id":1707,"date":"2024-07-05T18:37:06","date_gmt":"2024-07-05T16:37:06","guid":{"rendered":"https:\/\/vbhi-institute.org\/?p=1707"},"modified":"2024-07-24T16:22:53","modified_gmt":"2024-07-24T14:22:53","slug":"the-shiva-wmh-detector","status":"publish","type":"post","link":"https:\/\/vbhi-institute.org\/en\/the-shiva-wmh-detector\/","title":{"rendered":"The SHIVA-WMH detector"},"content":{"rendered":"
[vc_row][vc_column][vc_column_text css=”” el_class=”intro”]The SHIVA-WMH detector enables early automated detection of white matter hypersignals (signs of disease of the small cerebral arteries).[\/vc_column_text][vc_column_text css=””]\n

New publication of the SHIVA project<\/h2>\n

In this new publication from the SHIVA project (workpackage 1, SHIVA-MRI study), the Neurofunctional Imaging Group<\/a> proposes a new 3D model based on deep learning, the SHIVA-WMH detector<\/strong>, with significantly improved detection of small white matter hypersignals, in subjects with a wide range of these lesions, compared with existing automated detection methods.<\/p>\n

White matter hypersignals are one of four signs on brain MRI of cerebral small vessel disease.<\/p>\n

In addition, they demonstrate the relevance of the small white matter hypersignals found in the young adults of the MRi-Share study<\/a> by showing changes in the microstructure of the white matter.<\/p>\n

The SHIVA-MRI study<\/h2>\n

As a reminder, the objective of the SHIVA-MRI study is the automated quantification and differentiation of multiple cerebral biomarkers of cerebral small vessel disease (cSVD) on brain MRI in order to :<\/p>\n