Surface Rendering 3D Reconstruction of Human Brain MRI Images using Marching Cubes Algorithm

This project implements the Marching Cubes (MC) algorithm using MATLAB programming to perform surface rendering based 3D reconstruction of human brain MRI images. The implementation utilizes 3D rotation transformations and animation functions to create dynamic visualizations of brain structures. Key implementation aspects include using MATLAB's isosurface function for extracting surface meshes from volumetric data and implementing rotation matrices for interactive 3D viewing. During the surface rendering reconstruction process, different colors and textures can be applied to distinguish various brain tissue structures, achieved through MATLAB's patch function properties and colormap customization. For animation display, lighting and shading effects are implemented using MATLAB's lighting models (phong, gouraud) and material properties to enhance the realism and three-dimensional perception of brain graphics. The Marching Cubes algorithm demonstrates advantages in handling medical imaging data through its efficient polygon generation from volumetric datasets, making it suitable for applications in medical diagnosis, surgical planning, and neuroscience research. The algorithm works by constructing triangular meshes from MRI scan slices, with MATLAB implementation typically involving threshold-based isosurface extraction and mesh optimization. Brain MRI image reconstruction holds significant importance in medical diagnostics and research, providing valuable tools for neurological disorder analysis, tumor detection, and anatomical studies. The combined approach of MC algorithm implementation with MATLAB's visualization capabilities offers a powerful method for creating interactive 3D brain models that support both clinical applications and educational purposes. The complete workflow involves reading DICOM format MRI data, preprocessing image stacks, applying the Marching Cubes algorithm for surface generation, and implementing interactive controls using MATLAB's rotate3d and camera functions for dynamic exploration of reconstructed brain structures.