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Cataract hardness identification method

An identification method and cataract technology, applied in medical science, eye testing equipment, diagnosis, etc., can solve the problems of long learning period, difficult operation of cataract phacoemulsification, and dependence on the level of doctors, so as to reduce the difficulty and reduce unnecessary Effect of damage, promotion spread

Inactive Publication Date: 2010-10-27
UNIV OF SCI & TECH BEIJING
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AI Technical Summary

Problems solved by technology

[0010] Aiming at the problems of current cataract phacoemulsification, such as difficult operation, long learning period, and excessive reliance on the doctor's level, according to the above classification standards, the present invention proposes a cataract hardness identification method that can automatically identify the hardness of the cataract

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Embodiment Construction

[0021] figure 1 It is a flowchart of the cataract hardness identification method described in the present invention, the method is a method for cataract hardness identification based on real-time video images of cataract surgery, and the specific steps are as follows:

[0022] (1) The image acquisition module collects real-time video images of cataract surgery from the digital microscope;

[0023] (2) smoothing, filtering, and edge detection preprocessing are performed on the read-in current frame image to improve the quality of the real-time video image;

[0024] (3) Utilize the random Hough transform ellipse detection method to detect the iris region of the eye, determine the region of cataract, and narrow the range of motion of the phacoemulsification probe;

[0025] (4) Utilize the Hough transform line detection method to detect the phacoemulsification probe, if the phacoemulsification probe is detected, then proceed to step (5), otherwise re-perform step (1), that is, re...

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Abstract

The invention provides a novel cataract hardness identification method, which can be applied to the aspects of intelligent medical appliances, cataract surgeries, tele-medicine, cataract video image processing and the like. In the cataract hardness identification method, the real-time video image of a cataract surgery is acquired by a digital microscope, the probe of an ultrasonic emulsification instrument is detected and tracked, a cataract image in front of the probe of the ultrasonic emulsification instrument is extracted, and a nearest neighbour classifier is utilized to automatically identify the cataract image to obtain the cataract hardness. The method not only can realize the automatic identification of the cataract hardness and improve the effect of the cataract surgery but also can greatly lower the difficulty of the cataract surgery, reduce unnecessary damages brought to patients because of personal operation and promote the popularization of the surgery scheme.

Description

technical field [0001] The invention proposes a new cataract hardness identification method, which can be applied to intelligent medical equipment, cataract surgery, telemedicine, cataract video image processing and the like. Background technique [0002] Cataract is the leading cause of blindness in the world, and my country has a large number of cataract patients. At present, phacoemulsification, as a routine treatment method, is an effective method recommended internationally for the treatment of various cataracts. For the existing phacoemulsification treatment method of cataract, during the emulsification operation, the doctor needs to hold the probe of the emulsification instrument, observe the color and size of the cataract in front of the probe of the emulsification instrument through a digital microscope, and then artificially judge the hardness level of the cataract based on previous clinical experience On this basis, the size of the emulsification energy release i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B3/10A61B3/14
Inventor 郝红卫王志彬殷绪成穆翠霞
Owner UNIV OF SCI & TECH BEIJING
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