Application of multi-channel differential optical density on fast detection of degree of traumatic dural hematoma

Due to the advantages of rapid and non-invasive detection of traumatic dural hematoma using near-infrared differential optical density method, this technology has become a hot research topic in tissue optics in recent years and has important applications in clinical emergency treatment. To further improve the detection accuracy of traumatic subdural hematoma degree, in this paper, a multi-channel differential optical density method was used to obtain the bilaterally-symmetric optical density data of brain. A calibration model with the optical absorption coefficient of the brain tissue and the differential optical density was established using the partial least squares method to predict intracranial epidural hematoma. Simulation results show that the average relative error of the absorption coefficient of dural hematoma using the prediction model was 11.16% and the average relative error on hematoma depth prediction was less than 1%. The model meets the demands of noninvasive traumatic subdural hematoma degree detection. By introducing multi-channel differential optical density method into the noninvasive detection of subdural hematoma, the effects of individual differences on the detection result could be eliminated significantly and the detection accuracy of traumatic subdural hematoma degree can be improved.