Quantitative analysis method of substantia nigra hyperechoic intensity by transcranial ultrasound

Abstract

The invention discloses a quantitative analysis method of substantia nigra hyperecho intensity by transcranial ultrasound, which comprises the following steps: 1) obtaining the original TCS picture of the patient and the corresponding labeled picture after interpretation by the clinician, and randomly dividing them into a training set and a training set. Test set; 2) Deeply learn the adversarial network on the training set and perform network training to establish a model for analyzing substantia nigra echo images; 3) use the test set to verify the model for analyzing substantia nigra echo images; The predicted image is first converted into a grayscale image, and then converted into a binary image; 5) Morphological analysis of the grayscale value is performed to extract the images of the left and right substantia nigra hyperechoic areas in the midbrain; 6) Extract feature parameters; 7) Calculate Obtain the substantia nigra hyperechoic total intensity value. The quantitative analysis method of substantia nigra hyperecho intensity of the transcranial ultrasound of the present invention can realize quantitative interpretation and analysis of substantia nigra hyperecho, makes the change of substantia nigra echo more intuitive, and assists clinicians to improve the ability of identifying and diagnosing PD.

Description

technical field [0001] The invention relates to the technical field of quantitative analysis of hyperechoic intensity of substantia nigra, in particular to a method for quantitative analysis of hyperechoic intensity of substantia nigra by transcranial ultrasound. Background technique [0002] In recent years, with the scientific development of computer technology and artificial intelligence, there have been researches on the application of computer-aided diagnosis (CAD) systems in medical imaging. The emergence of this technology has greatly improved the efficiency and accuracy of clinicians' interpretation of images, avoided the influence of inexperience and short time on the accuracy of interpretation results, and achieved better and more accurate transcranial ultrasound. Quality echo image analysis, faster identification and quantification of abnormal substantia nigra echo. [0003] Transcranial midbrain sonography (TCS) is a convenient, repeatable, non-invasive examinat...

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Problems solved by technology

[0005] However, most of the existing studies focus on the recognition and segmentation of images, and none of them quantified the hyperechoic intensity of the substantia nigra, nor did they further analyze the relationship between the processed results and clinical symptoms

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