Advanced Marching Cubes Algorithm for Efficient 3D Reconstruction and Visualization of Tumor Target Areas

The three-dimensional reconstruction of the tumor target areas helps in radiotherapy planning. The Marching Cubes algorithm is widely used for its simplicity and efficiency in 3D medical image reconstruction. However, traditional algorithms have problems like hole artifacts, redundant voxel computations, and rough surfaces. This study proposes an improved Marching Cubes algorithm. Leveraging surface connectivity theory in volumetric data, it avoids empty voxel regions to cut unnecessary calculations. The midpoint selection method optimizes floating-point operations, reducing the complexity of the algorithm. Windowed Sinc smoothing refines the model’s outer surface for better smoothness. Experiments show that the improved algorithm cuts the number of triangular facets by more than 4% and boosts processing efficiency by more than 16%, all while maintaining reconstruction quality. It offers a new solution for real-time 3D visualization of tumor target areas.