An Optimal Frame Interval Tracking Estimation for Ultrasound Velocity Field Measurement

Abstract

The invention discloses an ultrasonic blood flow velocity field measurement method of optimal frame interval tracking estimation, which selects different optimal frame intervals for blood flow estimation of different radial positions according to the decreasing degree of blood flow speckle matching degree. First, a standard frame 7 is defined in the time series of ultrasound images of the vessel radial section, in which a plurality of image blocks 6 to be tracked are defined along the radial vessel lumen. At the same time, a plurality of frames 8 to be selected are defined at subsequent moments of the standard frame. Then, a maximum frame interval with a matching degree greater than 0.6 is selected as the optimal frame interval. As illustrated in a diagram, that faster the blood flow rate,the great the optimal frame interval, and the slower the blood flow rate, the smaller the optimal frame interval. Finally, the velocity of each image block to be tracked is calculated using the optimal frame interval, and the blood flow velocity field is measured. The invention can accurately measure the slow blood flow velocity close to the tube wall, minimizes the quantization error, and makesthe measurement result of the blood flow velocity field more accurate, and the result is superior to other existing measurement methods.

Description

technical field

[0001] The invention relates to an ultrasonic blood flow velocity field measurement method for optimal frame interval tracking and estimation, which belongs to the field of biomedical engineering detection. Background technique

[0002] The blood flow velocity field refers to the spatial distribution of the blood flow velocity on the radial section of the vessel lumen. During the blood flow process, due to the friction between the blood vessel wall and its own viscosity, it flows in layers in the radial direction, and the flow velocity of each layer is different. Gradually decreases. In healthy blood vessels, the blood flow velocity field is parabolic; in diseased blood vessels with atherosclerosis, the blood flow velocity field is distorted to varying degrees with the development of the disease. In addition, the blood flow velocity field can also be used to calculate hemodynamic parameters such as shear stress, velocity shear rate and wall shear rate. The...

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