Research And Implementation Of Spinal MRI Image Segmentation Algorithm

With the development of computer and image technology,image segmentation is applied to various fields and plays an important role.In recent years,medical image processing which is an important auxiliary tool of medical science has gradually become a hot research.Magnetic resonance image has a good effect on soft tissue and has high spatial resolution,therefore,it is widely used in medical field and gives great assistance to the diagnosis and treatment of diseases.The spine magnetic resonance image contains important information of spine,which is of great significance to the diagnosis of spinal diseases,there is no doubt that it will become the focus of the research object.Based on the characteristics of spine MRI,this paper makes a full use of the gray contrast of the intervertebral disk and the vertebral in the MRI images,and proposes an improved marker watershed algorithm to segment the intervertebral disc.After segmenting the intervertebral disc,the level set curve evolution theory is used to extract the vertebrae based on the initial evolution contour.The main work and research contents are as follows:(1)Analysis the commonly used image processing algorithms and their advantages and disadvantages.And then do research on the application of several commonly used segmentation algorithm in spinal MRI image,the simulation results show that these algorithms are not satisfactory.Finally present the algorithms used in this paper,propose a watershed and level set segmentation algorithm to segment the intervertebral disk and vertebral based on the characteristics of spine imaging.(2)Complete the marker controlled watershed algorithm based on the analysis of watershed algorithm.In view of the unsatisfactory morphological denoising result,add a limitation based on the area property to obtain more accurate internal markers,so the intervertebral disc region was extracted successfully,and overcome the severe over segmentation problem.In contrast to the watershed algorithm based on CLAHE,this method is more superior.(3)Introduce the distance regularized level set mode based on the analysis of level set algorithm.Propose a new form of expression for the noise sensitivity of the edge detection function in this model.By adding the region gray information,the influence of noise and weak boundary is improved,and the contour of vertebra is extracted successfully.In contrast to the GVF snake algorithm,this method is more accurate.The innovation of this paper is as follows:(1)In the process of the watershed segmentation of intervertebral disc,the relatively accurate internal markers is obtained by calculating the area and giving a restricted range.(2)Apply the distance regularization level set model without reinitialization to segment vertebras of spinal MRI images,and propose a new edge stopping function to improve the effect of noise and weak edges.