Introduction

This use case demonstrates 3D medical image registration and segmentation using synthetic brain-like volumes. The pipeline covers:

1. Volume generation — synthetic T1/T2 weighted MRI-like 3D arrays

2. Preprocessing — intensity normalization, Gaussian smoothing

3. Registration — rigid alignment of misaligned volumes

4. Segmentation — intensity thresholding and region labeling

All operations use NumPy and SciPy only — no heavy medical imaging libraries (ANTsPy, nibabel) are required for the demonstrator.