Model generating method, scanning planning method for medical imaging and medical imaging system

A medical imaging system and model generation technology, applied in the field of medical imaging systems, can solve the problems of prolonged time, low efficiency, inconsistent identification results, and inconsistent calibration results, and achieve the effect of reducing the time required and ensuring accuracy

Active Publication Date: 2018-04-13
SHANGHAI UNITED IMAGING HEALTHCARE
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Problems solved by technology

[0004] In the current magnetic resonance scanning process, the scanning parameters are determined by manual calibration. This method is inefficient and prolongs the time required for the entire scanning process. Due to manual differences and differences in experience, the recognition results and calibration results may be inconsistent. Accuracy of scan parameters cannot be guaranteed

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  • Model generating method, scanning planning method for medical imaging and medical imaging system
  • Model generating method, scanning planning method for medical imaging and medical imaging system
  • Model generating method, scanning planning method for medical imaging and medical imaging system

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Embodiment Construction

[0060] In order to better understand the technical solutions of the present invention, the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0061] It should be clear that the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0062] Terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. As used in the embodiments of the present invention and the appended claims, the singular forms "a", "said" and "the" are also intended to include the plural forms unless the context clearly indicates otherwise.

[0063] Depending on the context, the word "if" a...

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Abstract

The invention provides a model generating method, a scanning planning method for medical imaging and a medical imaging system, which relate to the technical field of medical image automatic scanning planning. An artificial intelligence network model is determined based on a deep learning method, and scanning parameters are obtained through the artificial intelligence network model, which ensures the precision of the scanning parameters. The method includes a model generating process and a model using process. The model generating process includes the following steps: acquiring a sample pre-scanned image and sample scanning parameters corresponding to the sample pre-scanned image; generating a sample distance field according to the sample scanning parameters; and learning the sample pre-scanned image and the sample distance field through an artificial intelligence network to generate an artificial intelligence network model. The model using process includes the following steps: acquiring a pre-scanned image of a target area of an inspected person; processing the pre-scanned image through the artificial intelligence network model to get a distance field; and determining scanning parameters according to the distance field. The technical scheme provided by the embodiment of the invention is suitable for a scanning planning process.

Description

【Technical field】 [0001] The invention relates to the technical field of automatic scanning planning of medical images, in particular to a model generation method, a scanning planning method of medical imaging and a medical imaging system. 【Background technique】 [0002] In the field of clinical medicine, it is often necessary to scan the target area of ​​the subject to obtain medical scanning images to assist in the diagnosis and treatment of diseases. [0003] For conventional MRI scans, doctors usually first identify the anatomical position through low-resolution pre-scan images (also known as positioning films), and then manually mark the reference positioning line and reference center to determine the required scan parameters , such as the scan direction, scan center point, scan center axis, and the size of the scan window. After the scanning parameters are determined, a scanning sequence is applied to the anatomical position according to the scanning parameters for pr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T11/00
CPCG06T11/005G06T2211/428
Inventor 周鑫宋燕丽黄小倩李强
Owner SHANGHAI UNITED IMAGING HEALTHCARE
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