Respiratory motion compensation and bimodal fitting method for time intensity curve

Abstract

The invention provides a respiratory motion compensation and bimodal fitting method for a time intensity curve. The method comprises the following steps: based on a block matching method taking a accumulative absolute error as a standard, carrying out respiratory motion compensation for the time intensity curve extracted from a serial B ultrasound contrastographic picture, and then carrying out pretreatment by utilizing frequency domain filtering, time domain filtering and baseline zeroing; carrying out recycling peak fitting determination for the pretreated time intensity curve; if a recycling peak exists, carrying out recycling peak fitting, outputting a result after motion compensation and bimodal fitting, and outputting the moment and the intensity of a recycling inflection point. The invention provides the respiratory motion compensation and bimodal fitting method for the time intensity curve and a microvesicle recycling inflection point identification method, so that the accuracy of TIC fitting is improved, and more accurate blood perfusion information can be obtained. A new method is possibly provided for detection of microcirculation clinically, and the method has an important significance on the evaluation of blood perfusion.

Description

technical field [0001] The invention relates to the technical field of contrast-enhanced ultrasound imaging, in particular to a method for respiratory motion compensation and bimodal fitting of time-intensity curves. Background technique [0002] The introduction of ultrasound contrast agents in clinical B-ultrasound imaging can effectively enhance the intensity of blood echo signals, greatly improve the contrast of perfused tissues in ultrasound images, make up for the lack of original ordinary ultrasound detection signals, and make the use of ultrasound contrast technology to quantitatively estimate blood perfusion becomes possible. Compared with other medical detection methods such as CT and MRI, it has the advantages of good imaging effect, real-time, easy operation, no ion radiation, non-destructive, and wide application in the detection and imaging of human microvascular and tissue perfusion. Ultrasound imaging plays an increasingly important role. In specific operat...

AI Technical Summary

Problems solved by technology

Image registration methods, such as block matching methods, have simple algorithms and are easy to implement, but the traversal search method takes too long, and the selected average error function is not comprehensive as the evaluation standard.

The respiratory gating algorithm is currently represented by principal component analysis in the latest literature, but its computational complexity is relatively large, and it is not easy to implement; at the same time, it is necessary to manually remove wrong liver contrast images, which is not only time-consuming, but also has the influence of subjective factors.

[0004] In addition, when analyzing TIC based on the short-term bolus perfusion model used in the current literature and patents, the focus is mainly on the first-pass peak fitting curve of the contrast agent and the extraction of parameters, while ignoring the contrast caused by the cardiac cycle. The objective existence of the recirculation peak of the agent in the observed area

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