Rapid and High-quality 3D Fusion of Human Brains CT-MRI Heterogeneous Data

Using modern medical imaging techniques, brain data can be extracted through MRI and CT, which are two types of heterogeneous data information and have different focuses. Through fusion, more comprehensive information about the brain’s anatomy can be obtained. This paper fuses heterogeneous data, separates heterologous data, integrates transfer function and renders GPU ray-casting volume to achieve rapid and high-quality 3D fusion of two types of data sources. In the data processing stage, the values of the volume data are fused, and at the CUDA-based ray-casting volume rendering stage we control and adjust the data integration and layered display through the hybrid transfer function. The experimental results prove the effectiveness of the proposed algorithm, which not only rapidly fuses two types of heterogeneous data, but also displays different kinds of tissues of brain after fusion, such as cerebrospinal fluid, gray matter, white matter, skin, muscle, and bone.