Arterial spin labeling-based cerebral hypoperfusion region accurate quantification method

Abstract

The invention discloses an arterial spin labeling-based cerebral hypoperfusion region accurate quantification method, which comprises the following steps of: firstly, mapping a diffusion weighted image and a cerebral blood flow diagram of a stroke definite diagnosis patient on a spatial anatomical structure through a coarse-to-fine registration strategy; secondly, for the stroke definite diagnosispatient image with the infarction core area, taking the infarction core area extracted by the diffusion weighted image as a seed point, and extracting a hypoperfusion area on the cerebral blood flowdiagram corresponding to the spatial position; otherwise, extracting a hypoperfusion region by taking the high signal region extracted from the cerebral blood flow subtraction image as a seed point; and finally, quantitatively analyzing related parameters of the hypoperfusion area of the stroke definite diagnosis patient, such as the position, the size and the volume of the hypoperfusion area, mismatching of an infarction core / hypoperfusion area and the like. Accurate extraction and quantitative analysis of a hypoperfusion area of a stroke definite patient are helpful for evaluating a time window and a tissue window of a diagnosed patient.

Description

technical field [0001] The invention belongs to the technical field of magnetic resonance imaging and digital images, and in particular relates to a method for accurately quantifying cerebral hypoperfusion areas based on arterial spin labeling. Background technique [0002] Cerebral ischemia is caused by the reduction of cerebral blood flow due to cerebrovascular stenosis or occlusion, resulting in hypoperfusion of brain tissue, which can be divided into acute ischemia and chronic ischemia. The assessment reflects the degree of cerebral ischemia, and the detection and segmentation of hypoperfusion is the core task in the assessment of cerebral ischemia. [0003] At present, brain perfusion imaging after injection of contrast agent can be used to quantify parameters, such as peak reaction time (Tmax), and different thresholds can be set according to the severity of hypoperfusion, and the location and volume of hypoperfusion areas can be obtained. However, this brain perfusio...

AI Technical Summary

Problems solved by technology

At present, there are challenges in the segmentation of hypoperfusion based on arterial spin-labeled perfusion imaging. Due to the low signal-to-noise ratio of the image, the segmentation method simply passing through the threshold is noisy and the result is not accurate enough. An optimized arterial spin-labeled hypoperfusion detection and segmentation method is urgently needed to develop

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