The Research And Application Of Key Technologies On Bone Quantitative Analysis In Medical Image

The computer post-processing technology for bone medical images can improve the image observation effect, actualize the intelligent aided diagnosis, and thus promote the development of the image diagnosis technology. In this paper, the author first reviewed and analyzed the development status of relevant technologies, and then proposed new methods or technology for bone segmentation, measurement, removal and stitching to fetch up the detect of the current technology in accuracy, robustness or automation.First, in the quantitative analysis of CT bone mineral density (especially for the analysis of the lumbar spine), the bone segmentation and bone measurement technologies should be adopted to extract the accurate measurement target, and then perform accurate measurement.In order to solve the problem that a single section of the lumbar spine couldn’t be segmented completely and automatically, a highly automated single vertebral segmentation method was proposed. It is proved that this method has better automation degree and accuracy than the current methods by the experiments with actual QCT data and synthetic data,.This paper presents a without phantom automatic parameter setting method to measure the bone mineral density. Through large quantity of experimental data, this method is proved to have high accuracy and repeatability.Second, when the vascular diseases in head, neck or body are diagnosed by using angiography CT images, the bone removal technology should be used so that the doctor can observe and extract vessels without interference.This paper presents a head and neck bone removal technology on the basis of bone contour information infusion. And improves a body bone removal technology on the basis of contour extraction and classification also. It is proved that these two technologies both can get better bone removal effect, greatly enhance the image observation quality and improve the vascular extraction accuracy.Third, bone stitching technology is mainly used for the image diagnosis of long bone trauma or deformity, it takes better observation and diagnosis.In order to improve the robustness of the current bone stitching technology and solve the problem of stitching artifacts and exposure differences in the fusion image, this paper presents a rotation-independent image stitching method. The image registration is achieved in virtue of improved feature alignment and correlation matching algorithm. By the experiments, it is proved that the registration algorithm can ensure the accuracy of the result and can improve the robustness; the fusion algorithm can effectively balance the exposure difference and eliminate the stitching artifacts, greatly improving the quality of the panoramic images.In addition, three software systems (or software functional modules) used to assist in clinical diagnosis were designed. They are being widely used or being tested. The theoretical results of this paper have been brought into practical clinical use.