The Research And Application Of Segmentation And Reconstruction Algorithm Based On Human Foot Skeleton Medical Image

Use of automatic segmention and 3D reconstruction technique to deal with the medical image, the method can assist doctors to analyse and diagnose the image, and avoid the defect in the traditional method of reading image relying on the doctor's subjective imagination and clinical experience, it can work efficiency,increase the diagnostic accuracy and show biological pathology objectivity. The human body tissue or organs of 3D reconstruction based on the target of accurate effectively extract medical image, is a practical system, such as automatic pathological analysis,strengthen the operation enhance and guidance based on image, virtual operation platform, etc.Considering the particularity in the human foot sectional images, such as image noise and low contrast between regions and shadow area and so on, I delve into the all aspects and difficulties of algorithm of segmentation and reconstruction to foot image. This article mainly include the following aspects:1.The research of foot image preprocessing. Analyses the characteristics of foot image sequences, put forward the image preprocessing step. In light of the characteristics of light slice image, clear up the noise by the Gaussian low-pass filter, increase the bones by Canny operator, remove the useless details by Histogram Equalization based on maximum between-cluster variance clustering in order to adjust global contrast.2.The research of foot image segmentation. Considering the characteristic such as the difficulty of identifying the medical image,the little difference between area,the difficulty of defining bones edge,the irregular shape and so on. With fast and precise segmentation for goal, use the improved Level Set stepping combined with Fast Marching algorithm to extract the skeleton,remove blood vessels, such invalid information, and get optimal target area by adjusting the calculation parameters. Repair the image edge by mathematical morphology open operation in the last.3.The research of 3D reconstruction in foot skeleton. Discuss the Marching Cubs surface rendering algorithms, a method to control index values into the surface, the surface tectonic equivalent method and effect estimates vector, The light projection algorithm is also discussed. The material classification of spatial data rays through sampling process and puts forward some improvement scheme, the algorithm of two improved efficiency of the algorithm. To get the image segmentation procedure as bone edge gray value of 3D reconstruction of the threshold, analyze and discuss the experiments of bone reconstruction.4.Design and programming the foot image segmentation and reconstruction system.Taking into account the integrity and flexibility of the image reconstruction system, combined VC++ 6 with Chinese Academy of Sciences for the development and analysis of three-dimensional medical image processing system MITK development platform to design and programming human foot bone image segmentation and reconstruction of system. Finally, a detailed analysis of experimental data, show that the flow algorithm has better accuracy and robustness.