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open-discussion > RE: Best pipelines for multimodal MRI data analysis
Jan 11, 2025 02:01 AM | aaronhcd - Technological University of Panama
RE: Best pipelines for multimodal MRI data analysis
Originally posted by Kyle Baik:
If you don't have an available computing resource, you can try NiChart. It includes things like Dicom to Nifti conversion & download, brain segmentation, machine learning score generation, and visualization of the generated datapoints. Currently supports structural T1 only but the Dicom to Nifti conversion should work for multimodality.
Are there any tutorials online for using this? Also, is T1 the only mode of structural MRI scanning? I am re-analyzing my dataset and it seems the data has mostly T1 weighted, alongside some others. I guess some python packages can help me to visualize and tell the type of MRI scans, can they?
Threaded View
Title | Author | Date |
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aaronhcd | Dec 30, 2024 | |
Kyle Baik | Jan 9, 2025 | |
aaronhcd | Jan 11, 2025 | |
jipeng luan | Jan 13, 2025 | |
codecrafted | Jan 7, 2025 | |
aaronhcd | Jan 11, 2025 | |
tobiramah | Jan 6, 2025 | |
aaronhcd | Jan 11, 2025 | |
lemniscus | Jan 7, 2025 | |
NiChart AIBIL | Jan 9, 2025 | |
Israel Bamidele | Jan 6, 2025 | |