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SIFT3D
Analogue of the scale-invariant feature transform (SIFT) for three-dimensional images. Includes an image processing and linear algebra library with feature matching and RANSAC regression. Also includes IO functions supporting a variety of image formats.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
My problem is that most common python frameworks offer feature extraction algorithms (such as SIFT) only for 2D images and not 3D. I searched online to find some other solution and ended up with this https://github.com/bbrister/SIFT3D. This tool does not work well though due to multi-modality. as the CT scan is not contrast enhanced and it is more "featureless" than the MRI, therefore, it fails to find enough key-points to do the matching.
Point Cloud Library has a bunch of 3D features to choose from. They're for unstructured point clouds but I think they should also work for volumetric data by converting it to point clouds in a 3D grid or something similar.