The vast amount of data generated by 3D imaging requires sophisticated computational tools for analysis:
Image Segmentation: Separates different tissue components for better visualization and analysis. Volume Rendering: Techniques like surface and volume rendering are used to create 3D models from 2D images. Quantitative Analysis: Measurements of volume, surface area, and other parameters are crucial for understanding tissue structure and function. Machine Learning: Advanced algorithms can identify patterns and features that may not be evident to human observers.