The Research On The Application Of Spectral Imaging Technology In Pathological Diagnosis Of Brain Tumors

In the nervous system diseases, in addition to the cerebrovascular disease, the incidence of brain tumors is highest. Because the tumor is in the brain where blood vessels and nerve tissue are very rich. So the disabled, high fatality rate is very high in this particular part. Clinical brain tumor treatment is surgical removal, chemical and radiation treatment, surgical resection is the most mature and the highest cure rate method. In the process of surgery, doctors face to the main problem is the maximum resection lesions with maximum protection of neurological function. This has been a problem in the surgery. Resection of the tumor directly affects the patients’ quality of life and survival. Tumor size, stage and the malignant degree, the determination of tumor biology boundary and the close degree of tumor and the surrounding structure, these factors will affect the subsequent operation scheme design. Development of assistive technology and updated provide great help to the performer.Traditional tumor resection surgery usually adopts intraoperative auxiliary means such as CT, MRI and ultrasound to determine the tumor location and shape of navigation and positioning. The method has shortcomings such as inaccurate positioning, long positioning time and the poisonous side effect to human body. Brain tumors often present infiltration, organizational boundaries are difficult to determine. Surgery is usually carried out by the doctor’s experience judgment and maximizes resection. It cause long operation time, wound, slow postoperative recovery, even can cause other serious complications. Therefore, a new method of brain tumors in auxiliary detection is particularly important.The article first elaborates the background and significance, and illustrates the necessity and urgency of the research work; the specula highlights as the basic principle of are discussed in detail; introduces several main technical index of imaging spectrometer. Then describes the design principle of the clinical diagnosis of brain tumor imaging spectrometer, custom design indexes of the system, the system has carried on the overall structure and the design of subsystem parameters, including spectral imaging subsystem, data acquisition subsystem, scanning mechanism subsystem, etc., and completed the design of system application software and spectral calibration. And the next introduce the related algorithm of hyperspectral data processing, preprocessing, feature selection and classification algorithms, it lays a good theoretical basis for the next hyperspectral data acquisition and processing. Finally, the paper applied to develop medical spectral instrument data from brain tumor, according to the different parts of the brain, using different spectral feature selection method and classification algorithm, through theory and experimental verification, high classification accuracy, can effectively identify the edge of brain tumors and make guidance of clinical surgery.Although the specular could be better than the traditional method in intraoperative navigation, but there are still many problems need to be solved before it is widely applied in clinical. Such as a long time composing specular and unified standardized algorithm. Therefore, this paper can help to promot our country’s specular technology, and it hascertain exploration and innovation. It laid the foundation for other applications in tumor intraoperative navigation surgery.