The Segmentation Of The Brain Blood Vessels Of Mri And The Design Of Visualization Software

Magnetic resonance angiography is widely used in the diagnosis of cerebrovascular diseases for its safe and noninvasive. Hospital clinical commonly uses 2-dimension or 3-dimension cerebrovascular images for observation and diagnosis of cerebrovascular. Existing cerebrovascualr visualization software generally supports with magnetic resonance equipment, it's expensive and mostly concentrated in the industry's giants such as SIEMENS, GE and so on. A domestic magnetic resonance equipment manufacturer takes 3-dimension reconstruction for cerebrovascular images directly without vascular segmentation. Due to the poor quality of its images, low resolution of images, less fat and skull suppression, so that the 3-dimension reconstruction of cerebrovascular was partly in the shadow of the other groups. It's difficult to effectively observe cerebral vascular morphology, reconstruction's effect is not ideal. Developed with independent intellectual property rights and supported with magnetic resonance equipment, a high-quality cerebrovascular 3-dimension visualization software has become the urgent need of the manufacturer.In view of the resolution of cerebrovascular images provided by the magnetic resonance equipment manufacturer is low, the characteristics of the imaging quality is poorer, this paper completed the preparatory work of the cerebrovascular segmentation and visualization software design. In this paper, the main research content includes the following several aspects:1. This paper introduces the current common cerebrovascular segmentation methods. According to the characteristics of the cerebrovascular images provided by the manufacturer, we select the cerebrovascualr segmentation method based on threshold, analyze problems of vessel segmentation methods that is based on the maximum between-class variance and based on the maximum between-class variance for two-dimension histogram, design a cerebrovascular segmentation method based on more threshold maximum between-class variance and Hessian matrix. Finally we analyze the results by comparison.2. According to the manufacturer's requirements, we carry on the demand analysis of the cerebrovascular visualization software, put forward the overall design scheme of cereborvascular visualization software. The paper's technical route is filtering the cerebrovascular images, enhancing cerebrovascular of images and removing skull firstly, carrying on cerebrovascular segmentation based on the more threshold maximum between-class variance and Hessian matrix secondly, finally using the volume rendering algorithm complete 3-dimension visualization of cerebrovascular.3. We completed design of main function modules of the cerebrovascular visualization software. The module of the images data reading, it's used to read the cerebrovascualr images of DICOM format. The module of preprocessing, it mainly realizes the image filtering, cerebral vascular enhancement and skull removal, etc. The module of cerebrovascular segmentation, it implements segmentation of the cerebral vascular images after preprocessing. The module of visualization, it realize the cerebrovascular 3-dimension visualization based on the maximum density and light projection algorithm. The module of interaction module, it realize 3-dimension slices, manual segmentation and color rendering, etc.4. This paper completed tests and analysis of the cerebrovascular visualization software. Through the tests of each function module, the software can complete the cerebrovascular segmentation and takes 3-dimension reconstruction for cerebrovascular images using volume rendering and realizes the 3-dimension cerebrovascular rotation, scaling, heavy slice, manual segmentation and color rendering, etc. Compared with results of cerebrovascular visualization provided by the manufacturer, it having greatly improved, reached the basic expected requirements.