3D Reconstruction of DICOM Images Using CT Data
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Resource Overview
This process involves iteratively reading a series of DICOM dataset files using the dicomread function to create a 3D matrix, performing preprocessing with smooth3 for noise reduction, then constructing a 3D model using isosurface, isocap, isonormals, and patch functions. Finally, view, lighting, colormap, and lightangle functions are applied to configure visual properties and lighting effects for realistic rendering.
Detailed Documentation
The implementation begins by iterating through a series of DICOM dataset files. The dicomread function is employed to read medical images and construct a three-dimensional matrix. For preprocessing, the smooth3 function is utilized to reduce noise and enhance data quality. Subsequently, key functions including isosurface (for extracting surface geometry), isocap (for generating end caps), isonormals (for calculating surface normals), and patch (for creating surface patches) are combined to build the 3D reconstruction model. The visualization phase employs view to set the camera angle, lighting to control illumination models, colormap to define color mapping schemes, and lightangle to position light sources, resulting in an enhanced, photorealistic representation of the anatomical structures.
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