A method for detecting cerebral blood flow based on diffuse coherent spectral images

Abstract

The invention discloses a cerebral blood flow detection method based on diffusion coherent spectral images. The diffused coherent spectral imaging system is used to detect the diffusely reflected diffused coherent beam on the surface of the brain tissue to be measured, and the diffused coherent spectral image sequence is recorded on the photosensitive surface of the CMOS camera. The process of flow velocity feature enhancement, dynamic scattering feature extraction and image correction processing is performed on the diffusion coherent spectral image sequence. The relative index of local cerebral blood flow is finally calculated, and the local cerebral blood flow of the local brain tissue to be measured changes with time is obtained in combination with the vascular diameter measurement method, which is expected to achieve efficient and high-sensitivity non-invasive cerebral blood flow detection. The cerebral blood flow detection method provided by the invention is efficient and accurate, solves the current technical difficulties, and is conducive to non-invasive and long-term detection of local cerebral blood flow.

Description

technical field [0001] The invention relates to the technical field of spectral image processing, in particular to a method for detecting cerebral blood flow based on diffuse coherent spectral images. Background technique [0002] Cerebral blood flow (CBF) is the main basis for clinical diagnosis of cerebral infarction, cerebral hemorrhage and other cerebrovascular diseases. The determination of CBF can provide objective indicators for studying the function of human brain under different pathological and physiological conditions. For the diagnosis and treatment of specific cerebrovascular diseases such as epilepsy and Alzheimer's disease, it is necessary to monitor the chronic changes of local CBF for a long time. At present, transcranial Doppler ultrasound is mostly used in clinical treatment of cerebrovascular diseases, but single-point monitoring results in low spatial resolution and shallow imaging depth, which is difficult to meet clinical needs. [0003] The non-invas...

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Problems solved by technology

However, the current diffusion coherent spectral imaging system still has some shortcomings, such as the lack of an efficient and accurate spectral image processing method, it is difficult to extract the flow velocity characteristics of deep CBF from the spectral image, and the noise interference of the imaging system is large, which leads to accurate measurement. lower sex issues

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