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

Instrument visual tracking method for laparoscopic minimally invasive surgery

A technique for surgical instruments and minimally invasive surgery, applied in the field of laparoscopic minimally invasive surgery, can solve the problems of excessive perception error, insufficient positioning accuracy, and low detection efficiency of surgical instruments, so as to reduce error and output delay, and improve segmentation accuracy Effect

Active Publication Date: 2021-10-22
GUANGDONG UNIV OF TECH
View PDF8 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The object of the present invention is to provide a kind of instrument visual tracking method for laparoscopic minimally invasive surgery, in order to at least solve the depth, direction and relative pose perception error of surgical instrument and target area in existing laparoscopic minimally invasive surgery. Large, and one or more problems such as low detection efficiency of surgical instruments, insufficient positioning accuracy, and unreliable real-time tracking delay

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
  • Instrument visual tracking method for laparoscopic minimally invasive surgery
  • Instrument visual tracking method for laparoscopic minimally invasive surgery
  • Instrument visual tracking method for laparoscopic minimally invasive surgery

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] The present invention is based on deep learning method. Under the preoperative label of the surgical instrument, the present invention is first detected or divided from the surgical video stream, and the local characteristics are extracted, and the detection and positioning efficiency and characteristics of the surgical instrument are greatly improved. Accuracy of the extraction; simultaneously utilizing image filtering algorithms and regional screening to improve the identification accuracy of the tracking target point; then express 2D-3D between the surgical instrument and the target area by modeling and mathematical expression Conversion relationship to determine depth perception of the operator and target area; finally realize the real-time tracking program of the target point using the mask algorithm. Establishing data sets through clinical medicine guidance to train and test surgery instrument detection models, realizing automated detection and tracking of laparoscopi...

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 surgical instrument visual tracking method for laparoscopic minimally invasive surgery, which is based on a deep learning method and comprises the following steps: firstly, a surgical instrument area is detected and segmented from a surgical video stream and extracting local features on the premise of not performing preoperative marking on a surgical instrument; the detection and positioning efficiency and the feature extraction accuracy of the surgical instrument are greatly improved; meanwhile, image enhancement processing is carried out on the region of interest by utilizing an image filtering algorithm and region screening, so that the recognition precision of a tracking target point is improved; secondly, a 2D-3D conversion relation between the surgical instrument and the target area is calculated through modeling and mathematical expression so as to determine depth perception information of an end effector of the surgical instrument and the target area; and finally, a real-time tracking program of the target point is realized by using a mask algorithm. A data set is established through clinical medicine guidance and used for training and testing a surgical instrument detection model, automatic detection and tracking of the laparoscopic surgical instrument are achieved, and the model is more practical.

Description

Technical field [0001] The present invention relates to the field of laparoscopic microsurgical surgery, and in particular, there is a device visual tracking method for laparoscopic microsuroscope. Background technique [0002] Minimally invasive surgery (MIS) is a new surgical technology. Doctors do not have to operate directly to patient lesions during surgery, by inserting the patient's abdominal cavity, while projection of laparoscopic video streams to the display The procedure process. Relative to traditional open surgery, laparoscopic micro-surgical wound is fast, postoperative nursing is simple, is currently the development trend of chest and abdominal intraoperative surgery, but this indirect operation will make medical devices and depth perceived information in surgical instruments and lesions. These surgery remain very challenging for surgeons. [0003] Laparoscopic microsuroscope is to determine and obtain relative positions of the surgical instrument and the target ob...

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 Applications(China)
IPC IPC(8): G06T7/246G06T7/80G06T7/136G06T7/11G06N3/04G06N3/08G16H30/20
CPCG06T7/246G06T7/80G06T7/11G06T7/136G06N3/084G16H30/20G06T2207/10016G06N3/045
Inventor 王宗耀沈珺郭靖蔡述庭熊晓明
Owner GUANGDONG UNIV OF TECH
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