Abstract: Virtual endoscopy （VE） is a new visualization method using 3D image data sets to simulate the tracks of a conventional endoscope. By using virtual reality computing techniques and visualization in scientific computing techniques, it can assist with the interpretation of 3D data of the heart in space and make it possible to ‘dive’ into the 3D model of the heart. A speckle reduction technique based on the homogeneous mask area filtering algorithm was applied to suppress the speckle noise, and then the denoised image was further processed by using the brFCM method to get an initial segmentation, after that, an integrated technique based on the combination of the multiscale analysis and texturebased contrast was used to obtain the final segmentation. The experimental results show that the proposed method can eliminate the speckle noise well and preserve the edge details of ultrasound images simultaneously and is helpful for visualization of 3DE virtual endoscopy.