3D Visualization Research Of Medicial Ultrasound Image

This thesis first describes the background, meaning and recent development of three-dimensional ultrasound imaging technology, then researches the basic techniques and methods involved in two-dimensional image processing and three-dimensional image visualization. In summing up the previous work and analysis needs of practical application, it proposes the methods of ultrasound two-dimensional image processing and three-dimensional reconstruction and displaying for human liver.In two-dimensional image processing, this paper discussed the algorithms suitable for the ultrasound image de-noising and segmentation. Use the combining method of Wiener filtering and Mediate filtering, and also the opening and closing algorithms of morphology filtering operation to reduce image noise; Use histogram analysis, threshold segmentation, the region of interest(ROI) selection, anti-gray color images, and other methods to complete the image segmentation. In order to erase the isolated dark areas after the two-dimensional image processing, this paper proposed an improved morphology filtering method and achieved good result.In the three-dimensional reconstruction and display section, a variety of algorithms for three-dimensional medical image reconstruction, domestic and international mainstream medical algorithm development platform have been studied. On the basis of the two-dimensional image processing results, achieved the three-dimensional ultrasound images of the surface mapping and volume rendering, the experimental results have been given. Also by the idea of software engineering of functional modules, on the basis of MITK package and VC++ environment, achieved a three-dimensional visualization software system with the functions of two-dimensional image sequences displaying, three-dimensional mapping of surface mapping, reconstruction, and other functions. Through human-computer interaction, it can also operate the rotation, zooming and other operations to the reconstructed image, so that doctors can fully understand the nature of the lesions and around three-dimensional structure of the organ, thus much easier to make clinical diagnosis. The practicality of the system was approbated by the doctors of Harbin Medical University.