After spending a good amount creating deep neural models on Human brain MRI images. I’m here, letting you know What makes working with MRI data so tough ?

A sample Brain MRI from OASIS dataset

Listed below are the some of the reasons, which in my opinion makes MRI analysis hard

  1. Data Size
    MRI data can be very large in size and handling and working with a large amount of MRI scans can be very difficult to manage
  2. Different medical imaging modalities
    CT, MRI, PET all have varying principles, settings, and capabilities resulting in capturing distinct dimensions and features in the brain images.
  3. Preprocessing the MRI image
    During the process of skull stripping using the bet2 tool from FSL, A significant portion of the brain was also removed leading to corruption in the dataset
  4. Imbalance in Medical condition
    People suffering from a particular medical condition, will be smaller when compared to the whole human population
  5. Skilled workers to get MRI
    conducting MRI scan requires high level of expertise and thus limits accessibility

Let me know what you think @ LinkdIn

Reference : Brain Imaging in Alzheimer Disease