Research on Medical Image Registration Algorithm Based on Double Immunolabeling Technology

Abstract

As an important means of disease diagnosis, medical imaging has been paid more and more attention. Especially, brain medical images are often used as an important basis for brain disease diagnosis and treatment effect judgment, and have become one of the research hotspots in the field of computer vision. Different medical imaging devices can produce different modality medical images, and different modality medical images can reflect the specific information of different human tissue structures. By integrating different multimodal images, doctors can observe more useful information on the same image, so as to better detect and diagnose diseases. Therefore, medical image registration and fusion technology came into being. Medical image registration is an indispensable step in surgery and follow-up treatment, which enables images to be correctly registered, and increases the amount of real-time data during surgery, greatly improves the success rate of surgery, protects the life and health of patients, and at the same time prevents medical staff from being invaded by rays. Accurate and efficient image registration can assist doctors in medical diagnosis, medical image archiving, treatment planning, operation guidance and treatment effect evaluation. As an important means of information processing, the development and application of medical image processing technology promote the development of health information construction. Brain medical image registration technology is the basis of many complex tasks such as medical image fusion and target detection. Image registration is an important part of medical image research. Medical image registration can be divided into rigid image registration and non rigid image registration according to the different images to be registered. In this paper, the research on medical image registration algorithm is discussed by using double immunofluorescence labeling technology.