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Skip to Search Results- 3Texture Analysis
- 1Amyotrophic Lateral Sclerosis
- 1Amyotrophic Lateral Sclerosis (ALS)
- 1Aura Matrix
- 1Biomarkers
- 1Brain Parenchymal Fraction (BPF)
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Fall 2016
Texture analysis is a well-known research topic in computer vision and image processing and has many applications. For example, texture features in image classification have been shown to be useful. Texture features depend on representation, of which there are many methods. Among them,...
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MRI-Based Texture Analysis for Characterizing Cerebral Degeneration Progression in Amyotrophic Lateral Sclerosis
DownloadFall 2024
Amyotrophic lateral sclerosis (ALS) is a highly heterogeneous, progressive neurodegenerative disease with a median survival of three years from the onset of symptoms. As a multi-system disease, ALS is not limited to the motor system and includes degeneration of other cerebral regions, including...
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2014
Maani, Rouzbeh, Kalra, Sanjay, Yang, Yee-Hong
In this paper, we applied texture analysis to evaluate cerebral degeneration in amyotrophic lateral sclerosis (ALS). Two well-known methods, the gray level co-occurrence matrix (GLCM) and the gray level aura matrix (GLAM) were employed to extract texture features from routine T1 and T2 MR images....