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Medical ultrasonic image line detection method

A technology for ultrasonic image and line detection, which is applied in the field of medical ultrasonic image line detection, and can solve the problems of large influence of subjective factors on detection results, poor anti-noise performance, poor detection effect of low signal-to-noise ratio images, etc.

Active Publication Date: 2010-08-18
HISENSE +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The fully manual detection method requires the operator to select two key points in each frame of the image to determine the straight line during the detection process. This method takes a long time, and the entire process requires manual operation, and the detection results are affected by the subjective factors of the operator. bigger
The detection method based on Hough transform can realize the automation of the detection process, but this method has a large amount of calculation, cannot realize real-time detection of video ultrasound images, and has poor anti-noise performance, and the detection effect on low signal-to-noise ratio images is not good. And the detection results will be seriously affected by the speckle noise in the ultrasound image

Method used

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Examples

Experimental program
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Effect test

Embodiment 1

[0035] The medical ultrasound image straight line detection method of the present invention, such as figure 1 shown, including the following steps:

[0036] 101. Sampling the current frame image;

[0037] Wherein, the sampling process is as follows: the current frame image is vertically sampled according to a preset sampling interval. A positive integer N is preset as the sampling interval, and then a single column of pixels is selected vertically every N pixels in the horizontal direction as a sampling sample. Line detection will be achieved through these sampling samples.

[0038] 102. Find the edge point in the sampling sample; that is, set a grayscale threshold T1, and select the first pixel whose grayscale value exceeds the grayscale threshold T1 from top to bottom after sampling the sample difference as an edge point , if none of them exceeds the gray threshold T1, the point with the maximum gray value is selected as the edge point.

[0039] 103. Use the random sampl...

Embodiment 2

[0042] The medical ultrasound image straight line detection method of the present invention, such as figure 2 shown, including the following steps:

[0043] 201. Set an area of ​​interest;

[0044] That is: before starting real-time detection, form a convex polygon by selecting the vertices of the polygon in the image displayed on the screen (circle or ellipse belongs to a special case of convex polygon, so the convex polygon in the present invention includes circle or ellipse) , the region within the convex polygon is the region of interest, and the subsequent line detection step will only be performed on the image within the region of interest. (Such as Figure 4 )

[0045] 202. Sampling the region of interest in the current frame image;

[0046] The sampling process is as follows: the current frame image is vertically sampled according to the preset sampling interval. Preset a positive integer N as the sampling interval, and then vertically select a single column of p...

Embodiment 3

[0051] The medical ultrasound image straight line detection method of the present invention, such as image 3 shown, including the following steps:

[0052] 301. Set an area of ​​interest;

[0053] That is: before starting real-time monitoring, a convex polygon is determined by selecting the vertices of the convex polygon in the image displayed on the screen, and the area inside the convex polygon is the area of ​​interest, and the subsequent line detection steps will only be performed on the image in the area of ​​interest. . (Such as Figure 4 ).

[0054] 302. Sampling the region of interest in the current frame image;

[0055] The sampling process is as follows: the current frame image is vertically sampled according to the preset sampling interval. Preset a positive integer N as the sampling interval, and then vertically select a single row of pixels in the region of interest every N pixels in the horizontal direction as sampling samples. Line detection will be achie...

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Abstract

The invention discloses a medical ultrasonic image line detection method, which is invented for overcoming the defects of necessary manual operation, bad noiseproof performance, tremendous calculated amount and no real-time detection in the prior art. The method comprises the following steps: (1) the area of interest is chosen; (2) the current frame images are sampled; (3) the marginal point of each sample is found out; and (4) the found marginal point is calculated through random sampling consensus algorithm and a line is chosen to be the detected line according to the calculation result. Through the method, the calculated amount of the medical ultrasonic image line detection processing is reduced greatly, the noiseproof performance is strengthened, noise sensitivity is reduced, and the influence of speckle noise on the detection result is eliminated well and the real-time and automatic detection on the video frequency ultrasonic image can be realized.

Description

technical field [0001] The invention relates to a method for detecting a straight line of a medical ultrasonic image. Background technique [0002] Line detection in medical ultrasound images is widely used in other application fields such as ultrasound calibration of free-arm 3D ultrasound imaging systems. Existing methods mainly include full manual detection and straight line detection based on Hough transform. The fully manual detection method requires the operator to select two key points in each frame of the image to determine the straight line during the detection process. This method takes a long time, and the entire process requires manual operation, and the detection results are affected by the subjective factors of the operator. larger. The detection method based on Hough transform can realize the automation of the detection process, but this method has a large amount of calculation, cannot realize real-time detection of video ultrasound images, and has poor anti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 孙丰荣王庆浩贾晓波刘炜刘志刚刘庆江梅良模
Owner HISENSE
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