Application of Grid Complexity-Based Magnetic Resonance Imaging in Monitoring Electroencephalogram Signals of Anesthetized Patients

Objective: In this paper, a lattice algorithm is used to explore the effect of MRI on anesthesia when used in neurosurgery. Methods: Sixty patients with glioma were randomly divided into two groups. Thirty patients underwent intracranial glioma resection (iMRI group) under the guidance of intraoperative magnetic resonance imaging (iMRI) and functional neuronavigational, and 30 patients underwent functional neuronavigational. Guide the traditional resection of traditional craniotomy gliomas (group N), and record the general situation, anesthesia time, operation preparation time, operation time, intraoperative blood loss, infusion volume, blood transfusion rate, preoperative and postoperative hemoglobin concentrations, Postoperative body temperature, dosage of muscle relaxant, perioperative accidents related to iMRI and anesthesia. Results: Compared with the N group, the general conditions, anesthesia time, intraoperative blood loss, infusion volume, blood transfusion rate, hemoglobin concentration, and postoperative body temperature of the patients in the iMRI group were not significantly different (P > 0.05), but the time for preparation and operation. It was significantly prolonged, and the amount of muscle relaxant was significantly increased (P < 0.05). There were no accidents related to iMRI and anesthesia in both groups. Conclusion: The use of iMRI in neurosurgical surgery improves the accuracy of surgery and makes tumor resection more complete, but the operation time is significantly longer, and other perioperative characteristics are not different from traditional neurosurgery. iMRI is used for anesthesia in neurosurgery. In addition to following the general principles of neurosurgery anesthesia, attention should also be paid to the regulation of anesthesia for long-term surgery.