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

Osteophyte identification method, device, electronic equipment and storage medium

An identification method and osteophyte technology, applied in the field of image processing, can solve problems such as affecting knee joint function, errors, and positioning mark deviations, etc.

Active Publication Date: 2022-05-20
LONGWOOD VALLEY MEDICAL TECH CO LTD +2
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In preoperative planning, osteophytes have a great influence on the positioning of key landmarks such as the mechanical axis, joint line, femoral anteroposterior axis, and AP axis. Misjudging the shape and position of osteophytes will lead to deviations in positioning landmarks, thereby affecting the knee joint. Function, stability, range of motion and prone to postoperative pain
Before clinical total knee arthroplasty, doctors need to plan and make decisions based on bone imaging data of the lower limbs without osteophytes. Doctors are better at medical knowledge, and image processing is time-consuming and labor-intensive for doctors.
Experienced doctors can put forward requirements to guide and assist other technicians to perfectly eliminate the osteophytes of lower limb bone images, but they suffer from image processing to eliminate the osteophytes of lower limb bone images by themselves, and inexperienced doctors cannot rely on medical Guided by experience, the osteophyte part of the bone image of the lower limbs can be perfectly eliminated, and it is more difficult to operate by yourself

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
  • Osteophyte identification method, device, electronic equipment and storage medium
  • Osteophyte identification method, device, electronic equipment and storage medium
  • Osteophyte identification method, device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] Embodiment 1 of the present invention provides a method for identifying osteophytes. figure 1 It is a schematic flowchart of the method for identifying osteophytes in Embodiment 1 of the present invention. Such as figure 1 As shown, the osteophyte identification method in Embodiment 1 of the present invention comprises the following steps:

[0039] S101: Acquire medical images.

[0040] As a specific implementation manner, the medical image is a medical image of a bone of a lower limb, such as an image of a bone of a lower limb.

[0041] S102: Input the medical image into the trained first segmentation model to obtain the femur region and / or the tibia region and / or the fibula region and / or the patella region in the medical image.

[0042] In Embodiment 1 of the present invention, the first segmentation model is a unet neural network model including the Pointrend algorithm, so that high-quality and high-pixel image segmentation can be realized. figure 2 It is a sche...

Embodiment 2

[0070] Corresponding to Embodiment 1 of the present invention, Embodiment 2 of the present invention provides a device for identifying osteophytes. Figure 4 It is a schematic structural diagram of an osteophyte identification device according to Embodiment 2 of the present invention. Such as Figure 4 As shown, the osteophyte identification device according to Embodiment 2 of the present invention includes an acquisition module 20 , a first processing module 22 and a second processing module 24 .

[0071] The acquiring module 20 is configured to acquire medical images.

[0072] The first processing module 22 is configured to input the medical image into the trained first segmentation model to obtain the femoral region and / or the tibial region and / or the fibula region and / or the patella region in the medical image ;

[0073] The second processing module 24 is used to input the femoral region and / or tibial region and / or fibula region and / or patella region into the trained se...

Embodiment 3

[0076] An embodiment of the present invention also provides an electronic device, which may include a processor and a memory, where the processor and the memory may be connected through a bus or in other ways.

[0077] The processor may be a central processing unit (Central Processing Unit, CPU). The processor can also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application-specific integrated circuits (Application Specific Integrated Circuit, ASIC), field-programmable gate array (Field-Programmable Gate Array, FPGA) or other Chips such as programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations of the above-mentioned types of chips.

[0078] As a non-transitory computer-readable storage medium, the memory can be used to store non-transitory software programs, non-transitory computer-executable programs and modules, such as program instructions / module (for example,...

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 discloses a osteophyte identification method, device, electronic equipment and storage medium, wherein the osteophyte identification method includes: obtaining a medical image; inputting the medical image into a trained first segmentation model to obtain the medical image femur region and / or tibia region and / or fibula region and / or patella region in the image; said femur region and / or tibia region and / or fibula region and / or patella region are input to the trained second segmentation model Femoral osteophytes and / or tibial osteophytes and / or fibular osteophytes and / or patellar osteophytes are obtained, so that the first segmentation model and the second segmentation model can be used to quickly and accurately identify osteophytes and help doctors perform operations Planning, easy to operate, high accuracy, and meet the advantages of individual differences in patients. At the same time, by improving the basis of preoperative planning, it can guide surgical planning and prosthesis selection, improve the accuracy of follow-up operations, and save a lot of time for orthopedic surgeons.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method, device, electronic equipment and storage medium for identifying osteophytes. Background technique [0002] In preoperative planning, osteophytes have a great influence on the positioning of key landmarks such as the mechanical axis, joint line, femoral anterior-posterior axis, and AP axis. Misjudging the shape and position of osteophytes will lead to deviations in positioning landmarks, thereby affecting the knee joint. Function, stability, range of motion and prone to postoperative pain. Before clinical total knee arthroplasty, doctors need to plan and make decisions based on bone imaging data of the lower limbs without osteophytes. Doctors are better at medical knowledge, and image processing is time-consuming and labor-intensive for doctors. Experienced doctors can put forward requirements to guide and assist other technicians to perfectly eliminate...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/764G06V10/26G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V10/267G06V2201/033G06N3/047G06N3/048G06N3/045G06F18/2431G06F18/2415
Inventor 张逸凌刘星宇
Owner LONGWOOD VALLEY MEDICAL TECH CO LTD
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