Open craniocerebral hematoma imaging based on near-infrared spectroscopy

Abstract

Abstract Near-infrared spectroscopy (NIRS) is a noninvasive, portable and low-cost technique, giving it great advantages for the early diagnosis of craniocerebral hematoma. More information on a hematoma can help medical staff to classify a patient’s condition in order to give more timely and effective treatment. Based on the principle of NIRS, in this paper a simulation of brain tissue is carried out in COMSOL finite element simulation software and brain tissue models are constructed of single-target hematoma, dual-target hematoma and hematomas at different depths. An array scanning single-source multi-detector is used to detect optical information and images are reconstructed and optimized by an imaging algorithm and the derivative peak sharpening method. The results show that a single-target hematoma can be accurately imaged, and the offset of the coordinate is within 1.4 mm,. The accuracy of dual-target hematoma imaging is limited, but derivative peak sharpening and multidirectional measurement can optimize the imaging effect. The array scanning detector can detect information about hematomas situated up to a depth of about 14 mm in the subcutaneous tissue.