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Intraoperative bleeding identification and metering method and system based on computer vision

A computer vision and measurement method technology, applied in the field of computer vision, can solve the problems of low calculation efficiency, high screen pixels, inapplicability, etc., and achieve the effect of high calculation efficiency and high screen pixels

Pending Publication Date: 2022-05-27
PEOPLES HOSPITAL PEKING UNIV +1
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Problems solved by technology

Novozamsky et al. defined a new color space based on a pixel-by-pixel method to maximize the separability of blood pixels and intestinal walls in capsule endoscopy videos; although the task of blood stain detection can be basically completed, the disadvantages are as follows : The algorithm is complex and the calculation efficiency is low; it cannot be applied to thoracoscopic surgery scenarios with long duration and high picture pixels

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  • Intraoperative bleeding identification and metering method and system based on computer vision
  • Intraoperative bleeding identification and metering method and system based on computer vision
  • Intraoperative bleeding identification and metering method and system based on computer vision

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Embodiment Construction

[0050] It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0051] figure 1 A schematic flowchart of a method for identifying and measuring intraoperative hemorrhage based on computer vision provided by an embodiment of the present invention. The method may be performed by a system, which may be implemented in software and / or hardware.

[0052] The method for identifying and measuring intraoperative bleeding based on computer vision of the present invention is mainly suitable for thoracoscopic surgery scenes. By using computer vision technology to analyze the video of thoracoscopic surgery, extracting variables based on the proportion of blood stain pixels, and Correlation analysis was performed between variables based on the proportion of bloodstain pixels and clinical prognostic data. The variables based on the proportion of bloodstain pixels are significantly correl...

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Abstract

The invention provides an intraoperative bleeding identification and metering method and system based on computer vision, and belongs to the technical field of computer vision. Bloodstain identification is carried out by adopting a bloodstain identification model combining a dynamic threshold value and a static threshold value; a relation model graph between each variable based on the bloodstain pixel proportion and each prognosis index is obtained through correlation analysis, and then a clinical prognosis scheme is formed according to the relation model graph between each variable based on the bloodstain pixel proportion and each prognosis index, so that the purposes of high calculation efficiency and high accuracy are achieved. And the method is suitable for the thoracoscopic surgery scene with long duration and high picture pixel.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a method, system, electronic device and storage medium for identifying and measuring intraoperative bleeding based on computer vision. Background technique [0002] Surgery has gradually shifted to minimally invasive surgery (MIS) paradigms, such as laparoscopic surgery and video-assisted thoracoscopic surgery. Compared with thoracotomy, video-assisted thoracoscopic surgery (VATS) has become an early stage of treatment because of its less postoperative acute phase, less pulmonary impairment, lower postoperative morbidity, and shorter hospital stay. and standard approaches in patients with locally advanced non-small cell lung cancer. During VATS surgery, a digital camera captures the procedure as a surgical video. These surgical videos contain a wealth of information about the patient's surgical site anatomy, surgical procedures, instrument movement during su...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/90
CPCG06T7/0012G06T7/90G06T2207/10024
Inventor 周健邓柯王俊许昊韩庭萱王海沣
Owner PEOPLES HOSPITAL PEKING UNIV
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