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Method, apparatus and device for image processing and threshold determination

A technique for determining methods and thresholds, which is applied in the field of image processing and can solve problems such as high dependence and low accuracy of feature detection

Active Publication Date: 2019-02-01
NEUSOFT MEDICAL SYST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] This application provides an image processing and threshold determination method, device, and equipment to solve the problem that the relevant client for detecting lung features is highly dependent on the user, resulting in low feature detection accuracy

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  • Method, apparatus and device for image processing and threshold determination
  • Method, apparatus and device for image processing and threshold determination
  • Method, apparatus and device for image processing and threshold determination

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Embodiment Construction

[0124] The terminology used in this application is for the purpose of describing particular embodiments only, and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as used herein refers to and includes any and all possible combinations of one or more of the associated listed items.

[0125] In the field of medicine, emphysema among lung diseases is a chronic obstructive pulmonary disease (chronic obstructive pulmonary disease, COPD) that seriously threatens human health. The number of people has an increasing trend, so early diagnosis and screening of emphysema is very important.

[0126]Although the relevant client can rely on the threshold input by the relevant user to detect lung features through the lung medical image, the threshold depends ...

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Abstract

A method, apparatus and device for image process and threshold determination are disclosed. That threshold determination method include: determining each lobar region of a lung medical image; The CT values of each lobar region were clustered and the lobar region was divided into two sub-regions. A CT value correspond to that intersection point of the CT value distribution function of two sub-regions in each lobe region is obtained, and an emphysema threshold of the lobe region is located. As an embodiment of the present application, the emphysema localization threshold value of each lobar region is determined by the CT value distribution of the lobar region, and is not set by the user according to his accumulated medical experience and medical knowledge, so that the threshold value can beautomatically detected relative to a client that requires the user to input a threshold value to detect lung features, and the degree of dependency on the user is low.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to an image processing and threshold determination method, device and equipment. Background technique [0002] In the medical field, in order to provide intermediate results for the diagnosis of emphysema, lung medical images can be processed through related clients to obtain some lung features, such as: areas where emphysema may exist (hereinafter referred to as emphysema candidate region), at least one of parameters such as the position parameter of the emphysema candidate region, the size of the emphysema candidate region, and the air content of the lung. Doctors cannot directly draw a diagnosis of disease or health status based on these lung characteristics, but they can be used as a reference data. [0003] When the relevant client detects these lung features, the user needs to manually input the threshold for determining the emphysema candidate area acc...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/136G06T7/62G06T7/70G06K9/62G06V10/26G06V10/28
CPCG06T7/0012G06T7/136G06T7/62G06T7/70G06T2207/30061G06F18/23A61B5/004A61B5/08A61B5/746G06T7/11G06T2207/10081G06T2207/20021G06N20/00G06V20/653G06V10/26G06V10/28G06N7/01G06T5/20G06F18/2321
Inventor 陈磊李强康雁
Owner NEUSOFT MEDICAL SYST CO LTD