System and method for measuring artery input function in dynamic perfusion image post-processing

Abstract

The invention provides a system for measuring an artery input function in dynamic perfusion image post-processing. The system comprises: a preprocessing module, which is used for preprocessing original time density curves, and screening out curves with regular shapes as an initial curve set; a clustering analysis module, which is used for performing clustering analysis on the initial curve set, and selecting one type of curves with a minimum clustering center as candidate curves; a post-processing module, which is used for marking voxel positions corresponding to the candidate curves in a three-dimensional space, calculating connected components of the space and a number of voxels of each component, removing components smaller than a set volume, and calculating an average curve of each remaining spatial component to obtain target curves; a classification module, which is used for extracting characteristic parameters of the target curves, calculating the conformity of the target curves by using a linear weighting model, and screening out a final AIF curve according to the conformity. The system can efficiently and stably obtain an AIF curve.

Description

technical field [0001] The invention relates to the technical field of post-processing of dynamic perfusion images, in particular to a measurement system, method, device and medium for arterial input functions in post-processing of dynamic perfusion images. Background technique [0002] In recent years, ischemic stroke has become a huge health problem worldwide. The incidence of stroke in China is increasing year by year, and stroke has become the main cause of death. The key to stroke treatment is to salvage the ischemic penumbra using advanced imaging techniques such as CT / MR perfusion imaging. CT / MR perfusion imaging can be used to assess perfusion parameters for non-invasive diagnosis of stroke by monitoring the time-density curve (TDC) of the tracer in the capillary bed. The arterial input function (AIF), that is, the time-dependent change of the contrast agent concentration in arteries supplying the brain, needs to be determined in postprocessing. Tissue TDC can be ...

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But these fixed thresholds have poor generalization ability