Method, equipment and system for diagnosing pulmonary embolism based on plain-scan CT (Computed Tomography) image

A CT image, pulmonary embolism technology, applied in image analysis, image data processing, medical automated diagnosis, etc., can solve problems such as inability to effectively diagnose APE, patients without good clinical solutions, blindness in pulmonary embolism treatment, etc.

Pending Publication Date: 2022-04-01
CHINA JAPAN FRIENDSHIP HOSPITAL
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Problems solved by technology

Although it is the first-line non-invasive detection method of CTPA APE, not everyone is suitable for CTPA examination, especially the high-risk groups with hemodynamic instability, patients with renal insufficiency or patients allergic to iodine contrast medium, etc. CTPA cannot be used for diagnosis Pulmonary embolism detection, leading to blinding of pulmonary embolism treatment
Compared with CTPA, chest plain CT does not need to create a contrast agent, but clinicians generally believe that plain CT cannot effectively diagnose APE, and the images of plain CT have no diagnostic value for APE
At present, clinically, there is no good clinical solution for patients who need non-invasive detection of APE for clinical critical illness, contrast agent allergy, and renal insufficiency.

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  • Method, equipment and system for diagnosing pulmonary embolism based on plain-scan CT (Computed Tomography) image
  • Method, equipment and system for diagnosing pulmonary embolism based on plain-scan CT (Computed Tomography) image
  • Method, equipment and system for diagnosing pulmonary embolism based on plain-scan CT (Computed Tomography) image

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Embodiment Construction

[0039] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention.

[0040] In some processes described in the specification and claims of the present invention and the above-mentioned drawings, a plurality of operations appearing in a specific order are contained, but it should be clearly understood that these operations may not be performed in the order in which they appear herein Execution or parallel execution, the serial numbers of the operations, such as 101, 102, etc., are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. Additionally, these processes can include more or fewer operations, and these operations can be performed sequentially or in parallel. It should be n...

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Abstract

The invention relates to a method, a device and a system for diagnosing pulmonary embolism based on a plain-scan CT (Computed Tomography) image. Comprising the following steps: acquiring a lung plain-scan CT image of a to-be-diagnosed patient; performing three-dimensional reconstruction on the lung flat scanning CT image to obtain a whole lung image; performing feature extraction on the whole lung image to obtain a feature vector; and inputting the feature vector into a trained machine learning model to obtain a pulmonary embolism diagnosis classification result of the patient to be diagnosed. The invention provides a novel non-invasive acute pulmonary embolism detection method for patients who do not have CTPA or have CTPA detection taboo clinically, and has important clinical application value.

Description

technical field [0001] The present invention relates to the field of intelligent medical technology, and more specifically, to a method, device, system and storage medium for diagnosing pulmonary embolism based on unenhanced CT images. Background technique [0002] Acute pulmonary embolism (APE) is a cardiovascular disease with a high incidence, and severe cases can lead to acute right heart failure and even sudden death. Because the clinical symptoms and signs are not specific, CT pulmonary angiography (CTPA) is the protocol for the diagnosis of APE, and it is used to guide the diagnosis and severity assessment of APE. Although it is the first-line non-invasive detection method of CTPA APE, not everyone is suitable for CTPA examination, especially the high-risk groups with hemodynamic instability, patients with renal insufficiency or patients allergic to iodine contrast medium, etc. CTPA cannot be used for diagnosis Pulmonary embolism detection, leading to blindness of pul...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06N20/00G16H50/20G06V10/25G06V10/80G06V10/764
Inventor 邓美许文清孟夏培刘敏
Owner CHINA JAPAN FRIENDSHIP HOSPITAL
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