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Surgical interventional instrument tracking method based on pyramid-shaped attention cycle network

A pyramid-shaped, attention-based technology, applied in the field of image recognition, can solve problems such as not being able to real-time

Pending Publication Date: 2020-11-24
INST OF AUTOMATION CHINESE ACAD OF SCI +1
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Problems solved by technology

[0006] In order to solve the above-mentioned problems in the prior art, that is, the prior art cannot track the surgical interventional instruments in real time and accurately according to the X-ray transmission images during the operation, the present invention provides a pyramid-shaped attention cycle network based A method for tracking surgical intervention instruments, the method comprising:

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  • Surgical interventional instrument tracking method based on pyramid-shaped attention cycle network
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  • Surgical interventional instrument tracking method based on pyramid-shaped attention cycle network

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[0067] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, not to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0068] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0069] The invention provides a method for tracking surgical interventional instruments based on a pyramid-shaped attention cycle network, the method comprising:

[0070] Step S10, acquiring the X-ray transmission video sequence of the area containing the interventional instrument d...

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Abstract

The invention belongs to the field of image recognition, particularly relates to a surgical interventional instrument tracking method based on a pyramid-shaped attention cycle network, and aims to solve the problem that a surgical interventional instrument cannot be accurately tracked in real time according to an X-ray transmission image in a surgery in the prior art. The present invention comprises: an X-ray transmission to-be-detected video sequence is acquired, and a binary segmentation mask sequence for displaying a surgical interventional instrument is generated through a pyramid-shaped attention cycle network based on deep learning based on the to-be-detected video sequence; and the to-be-detected video sequence is covered with the binary segmentation mask for displaying the surgicalinterventional instrument to generate a video sequence for displaying the surgical interventional instrument. According to the invention, image features are extracted in a graded mode through pyramid-shaped attention blocks, then feature loss of the images is reduced through cyclic upsampling blocks, wrong classification of edge pixels is avoided, and the accuracy of surgical interventional instrument tracking is improved.

Description

technical field [0001] The invention belongs to the field of image recognition, and in particular relates to a method for tracking surgical intervention instruments based on a pyramid-shaped attention cycle network. Background technique [0002] Coronary heart disease (CHD) is one of the leading causes of death in the world; abdominal aortic aneurysm (AAA) is the most common type of aneurysm, and abdominal aortic aneurysm usually does not rupture before rupture. Significant symptoms are present and thus usually result in a case fatality rate of 85% to 90%. In vascular surgery and cardiology diseases, compared with traditional open treatment methods, interventional therapy has great advantages, for example, it can effectively reduce the morbidity and mortality of patients in the perioperative period, and reduce the occurrence of surgery possibility of subsequent complications. [0003] Percutaneous coronary intervention (PCI) and endovascular aneurysm repair (EVAR) are curr...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/34G06K9/46G06N3/04G06N3/08
CPCG06N3/08G06V10/454G06V10/267G06V2201/034G06N3/045
Inventor 刘市祺谢晓亮侯增广刘暴来志超周彦捷周小虎马西瑶
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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