Thyroid nodule analysis system based on elastic ultrasonic imaging

A technology for thyroid nodules and elastic ultrasound, applied in image analysis, ultrasound/sonic/infrasonic Permian technology, ultrasound/sonic/infrasonic image/data processing, etc., can solve the difference in diagnostic results and the lack of quantitative measurement of image features and other issues to achieve the effect of improving accuracy

Active Publication Date: 2020-08-18
上海深至信息科技有限公司
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  • Application Information

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Problems solved by technology

Different special diagnoses and diagnostic criteria are used, and there is a lack of quantitative measurement of image features.

Method used

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  • Thyroid nodule analysis system based on elastic ultrasonic imaging
  • Thyroid nodule analysis system based on elastic ultrasonic imaging
  • Thyroid nodule analysis system based on elastic ultrasonic imaging

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Embodiment Construction

[0037] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. The present invention is not limited to this embodiment, and other embodiments may also belong to the scope of the present invention as long as they conform to the gist of the present invention.

[0038] In a preferred embodiment of the present invention, based on the above-mentioned problems in the prior art, a thyroid nodule analysis system based on elastic ultrasound imaging is now provided, such as figure 1 shown, including:

[0039] The data acquisition module 1 is used to acquire a number of elastic ultrasound images of the thyroid gland, and respectively select thyroid nodules from each elastic ultrasound image to obtain a thyroid nodule image;

[0040] The edge recognition module 2 is connected to the data acquisition module 1, and is used to respectively perform edge recognition on each thyroid nodule image, and obtain the nodule edge...

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Abstract

The invention provides a thyroid nodule analysis system based on elastic ultrasonic imaging, and relates to the technical field of computer-aided analysis. The system comprises: a data obtaining module which carries out thyroid nodule selection on an obtained elastic ultrasonic image, and obtains a thyroid nodule image; an edge recognition module used for carrying out edge recognition on the thyroid nodule image to obtain a nodule edge image; a feature analysis module used for respectively carrying out feature analysis on the thyroid nodule image and the nodule edge image to obtain a pluralityof image feature parameters; a feature selection module used for respectively calculating inter-class distances of the image feature parameters and adding the inter-class distances into a one-class interval sequence; and a nodule analysis module used for extracting the image feature parameters of the preset number of inter-class distances sorted in the front, and training to obtain a thyroid nodule state recognition model for subsequent thyroid nodule state recognition by taking the image characteristic parameters as input and the nodule state as output. The thyroid nodule analysis system hasthe advantage of effectively improving thyroid nodule state recognition accuracy.

Description

technical field [0001] The invention relates to the technical field of computer-aided analysis, in particular to a thyroid nodule analysis system based on elastic ultrasonic imaging. Background technique [0002] Thyroid nodules are very common in clinical practice, and high-resolution ultrasound can detect the prevalence of thyroid in the population. Since the cause of thyroid nodules is unknown, only by early detection and diagnosis can the cure rate of thyroid be improved. Ultrasound imaging is non-invasive, dynamic, and inexpensive, and has become the method of choice for thyroid nodule detection. At present, the diagnosis of the thyroid gland is mainly done through qualitative discrimination of images by doctors. The special diagnoses and diagnostic criteria used are different, and the quantitative measurement of image features is lacking. At the same time, due to differences in visual perception, different doctors have different diagnostic results for the same case. ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/13G06T5/30A61B8/08
CPCG06T7/0014G06T7/13G06T5/30A61B8/08A61B8/485A61B8/52A61B8/5215G06T2207/10132
Inventor 朱瑞星徐小燕刘西耀
Owner 上海深至信息科技有限公司
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