Ultrasound contrast perfusion parameter imaging method based on respiratory motion compensation

Abstract

The invention provides an ultrasound contrast perfusion parameter imaging method based on respiratory motion compensation. Tracking sequences are built for respiratory phase subsequences at the last stages of exhalation and inhalation by combining a respiratory motion curve obtained through nonnegative matrix decomposition and two respiratory motion compensation schemes based on frame selection and respiratory phase segmentation, block matching respiratory motion displacement vector tracking calculation based on coarse-to-fine three-step search is performed, targeted characteristic compensation is performed on TIC of subsequence images corresponding to all respiratory phases, and finally, a perfusion parameter image after respiratory motion compensation is obtained. Compared with other perfusion parameter motion compensation methods, the method avoids complex manual frame selection and can well adapt to the organs in the abdomen, and the motion curve obtained through nonnegative matrix decomposition has good physiological significance.

Description

technical field [0001] The invention belongs to the field of contrast-enhanced ultrasound imaging, and in particular relates to a contrast-enhanced ultrasound perfusion parameter imaging method for breathing motion compensation. Background technique [0002] Contrast-enhanced ultrasound perfusion imaging is a functional imaging method, which has been initially applied to estimate myocardial perfusion, distinguish benign and malignant lesions of the liver, and study the blood supply of neovascularization in tumors. Contrast-enhanced ultrasound image sequences are generally collected when the patient is breathing freely. The existence of breathing motion often causes serious deviation of the target area between the contrast-enhanced image sequences, which affects the results of medical diagnosis. [0003] In order to reduce the influence of breathing movement, breath holding method can be used clinically. However, the limitation of this method is that the data acquisition tim...

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Problems solved by technology

There are limitations in the automatic gating respiratory motion compensation method based on pure images: such as the difficulty in selecting the number of factors in the factor analysis method, the extracted respiratory motion curve may have negative values ​​that do not conform to the actual physiological significance, and only targets one organ in the abdomen Performs motion compensation while effectiveness for other abdominal organs remains to be tested

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