A Case for Automated Segmentation of MRI Data in Neurodegenerative Diseases: Type II GM1 Gangliosidosis

A Case for Automated Segmentation of MRI Data in Neurodegenerative Diseases: Type II GM1 Gangliosidosis

Background: Volumetric analysis and segmentation of magnetic resonance imaging (MRI) data is an important tool for evaluating neurological disease progression and neurodevelopment. Fully automated segmentation pipelines offer faster and more reproducible results. However, since these analysis pipeli...

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Bibliographic Details
Main Authors: Connor J. Lewis, Jean M. Johnston, Precilla D’Souza, Josephine Kolstad, Christopher Zoppo, Zeynep Vardar, Anna Luisa Kühn, Ahmet Peker, Zubir S. Rentiya, Muhammad H. Yousef, William A. Gahl, Mohammed Salman Shazeeb, Cynthia J. Tifft, Maria T. Acosta
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:NeuroSci
Subjects:
GM1 gangliosidosis
imaging biomarkers
MRI segmentation
Online Access:https://www.mdpi.com/2673-4087/6/2/31
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