Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

An integrated system for oral diagnosis with symptom classification and self-comparison function

A symptom and oral technology, applied in the field of integrated system for oral diagnosis, can solve the problems of slow processing speed and large amount of calculation, and achieve the effect of increasing speed, reducing demand and improving accuracy

Active Publication Date: 2022-06-07
XIANGYA HOSPITAL CENT SOUTH UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the improvement of the medical level, many diagnoses are operated through a patterned procedure. A model is constructed through previous diagnostic experience, and then the corresponding diagnostic results are obtained through model comparison. This is more obvious in the field of oral cavity, because oral cavity The internal structure is very fixed. If the teeth are crooked, they are crooked. Tooth decay is easy to show through the image model. However, most of the existing technologies are to build a three-dimensional model of the entire oral cavity, and then compare it in all directions. In this way, the whole process The amount of calculation is large, which leads to a decrease in processing speed, and does not take advantage of the fixed structure of the oral cavity. Therefore, the present invention proposes an integrated system for oral cavity diagnosis with a self-comparison function for symptom classification

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • An integrated system for oral diagnosis with symptom classification and self-comparison function
  • An integrated system for oral diagnosis with symptom classification and self-comparison function
  • An integrated system for oral diagnosis with symptom classification and self-comparison function

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] see figure 1 As shown, the purpose of this embodiment is to provide an integrated system for oral diagnosis with a self-comparison function for symptom classification, including a positive image acquisition module, an image partition module, a symptom classification module, a comparison model extraction module, and a model construction module. Analysis module and detail image acquisition module, firstly:

[0037] The forward image acquisition module acquires the forward oral image to obtain the basic image;

[0038] Then the image partition module locks the mouth position of the basic image, and obtains images of multiple basic partitions according to the oral structure partition processing, and then the symptom classification module determines the symptom points according to the images of the basic partitions, and then classifies the symptom points according to the basic partitions. Classification;

[0039] It is further explained that the comparison model extraction...

Embodiment 2

[0041] see figure 2 As shown, the forward image acquisition module includes a forward auxiliary unit and an image acquisition unit; the image acquisition unit collects forward oral images through imaging examinations (imaging examinations include X-ray, CT and B-ultrasound). , use the imaging inspection equipment to illuminate the face forward, and then the forward auxiliary unit establishes a symmetrical axis at the center of the collected facial image, and then folds the images on both sides of the symmetrical axis in half for simulation. After folding in half, if the images on both sides overlap, it means that the face is in The state of positive acquisition, otherwise it needs to be adjusted. The adjustments are as follows: the whole face deviates from the symmetry axis, so the whole face needs to be moved; Keep it horizontal, so as to assist the image acquisition unit to determine the positive position of the oral cavity.

Embodiment 3

[0043] see image 3 As shown, the image partition module includes an oral cavity position locking unit and a partition processing unit. After the basic image acquisition is completed, the oral cavity position locking unit will determine the oral cavity position of the basic image, and specifically frame a range according to the outline of the oral cavity. The framed part is the area processed by the partition processing unit. The partition processing unit obtains the basic partition through the structure of the oral cavity. Because the oral cavity contains two rows of teeth, the basic partition includes the upper and lower teeth, and the upper and lower teeth. The tooth part includes the basic partition of the root, the basic partition of the crown and the basic partition of the nerve. According to the basic partition, the basic image of the oral cavity is partitioned and processed. The partition processing unit uses the gray threshold partition algorithm for partition processi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to the technical field of image segmentation, in particular to an integrated system for oral cavity diagnosis with self-comparison function for symptom classification. It includes a positive image acquisition module, an image partition module, a symptom classification module, a comparison model extraction module, a model construction analysis module and a detailed image acquisition module. In the present invention, the basic image is partitioned through the oral structure to achieve the purpose of image segmentation, and the image of the basic partition corresponding to the oral structure is obtained after segmentation, so as to realize the determination of symptoms in a wide range. In this way, the later comparison model is stored, three-dimensional The construction of the model is connected with the basic partition, which means that once the symptoms are confirmed, the range of image processing will be reduced to increase the speed of image processing.

Description

technical field [0001] The invention relates to the technical field of image segmentation, in particular to an integrated system for oral cavity diagnosis with self-comparison function for symptom classification. Background technique [0002] With the improvement of the medical level, many diagnoses are operated through a patterned procedure. A model is constructed through previous diagnostic experience, and then the corresponding diagnostic results are obtained through model comparison. This is more obvious in the field of oral cavity, because oral cavity The internal structure is very fixed. If the teeth are crooked, they are crooked. Tooth decay is easy to show through the image model. However, most of the existing technologies are to build a three-dimensional model of the entire oral cavity, and then compare it in all directions. In this way, the whole process The amount of calculation is large, which leads to a decrease in processing speed, and does not take advantage o...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06T7/00G06V10/74G06V10/764G06K9/62G06T7/70A61B6/14A61B6/03A61B8/12A61C19/04
CPCG06T7/0012G06T7/70A61B6/032A61B6/5211A61B8/12A61B8/5215A61C19/04G06T2207/10116G06T2207/10132G06T2207/10081G06T2207/30036G06F18/24A61B6/512A61B6/51
Inventor 汪伟明
Owner XIANGYA HOSPITAL CENT SOUTH UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products