Amcad Biomed Corporation

King-Jen Chang

Argon Chen

Kuo-Chen Huang

Yu-Hsin Wang

Chiung-Nein Chen

Ming-Hsun Wu

Kuen Yuan Chen

Kuen-Yuan Chen

An echogenicity quantification method and a calibration method for ultrasonic device using echogenicity index are disclosed. The method includes: receiving an ultrasound image which comprises a plurality of grayscale pixels; choosing a region of interest (ROI); calculating the values of the grayscale pixels in ROI to obtain average value and standard deviation; excluding pixels in ROI with the grayscale value smaller than the sum of the minimum value in the grayscale image and the product of a first scaling factor and the standard deviation, and larger than the sum of the average value and the product of a second scaling factor and the standard deviation; averaging the values of the remaining grayscale pixels in ROI to obtain an average value of interest; choosing a reference region; averaging the values of the remaining grayscale pixels in the reference region to obtain an average value of reference; and calculating the difference between the average value of interest and the average value of reference to obtain an echogenicity index.

Echogenicity quantification method and calibration method for ultrasonic device using echogenicity index

The present invention provides quantification and imaging methods and a system of the echo-texture feature, comprising: obtaining an ultrasonic image; calculating all the pixel values in a selected ROI of the ultrasonic image to obtain a regional standard deviation; excluding pixels with a pixel value smaller than a multiple of the regional standard deviation in the selected ROI; counting a set of pixels centered around a Npixel to gather a Nlocal mean, a Nlocal variance and a Nlocal coefficient of variance corresponding the set of pixel values, wherein N is from 1 to the number of the pixels remaining in the selected ROI; and obtaining an echo-texture index according to the local means, the local variances, or the local coefficient of variances. The imaging of echo texture which shows the echo texture distribution of the selected ROI with a color scale changing continuously from red to blue is also included. A parameter is provided to adjust the visualization enhancement of the echo texture.

Quantification and imaging methods and system of the echo texture feature

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Taichung, Taiwan

King-Jen Chang