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Medical image acquisition method and device, equipment and computer readable storage medium

A medical image and collection method technology, applied in medical images, computer components, neural learning methods, etc., can solve problems such as unrecognizable image quality, and achieve the effect of reducing workload

Active Publication Date: 2020-02-25
SHANGHAI UNITED IMAGING HEALTHCARE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004]Based on this, it is necessary to provide a medical image acquisition method, device, equipment and computer-readable storage medium

Method used

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  • Medical image acquisition method and device, equipment and computer readable storage medium
  • Medical image acquisition method and device, equipment and computer readable storage medium
  • Medical image acquisition method and device, equipment and computer readable storage medium

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Embodiment Construction

[0022] In order to make the purpose, technical solution and advantages of the present application clearer, the present 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 the present application, and are not intended to limit the present application.

[0023] This embodiment is preferably applied to medical image scanning equipment, such as Positron Emission Computed Tomography (PET for short) equipment, Magnetic Resonance Imaging (MRI for short) equipment and the like. In this embodiment, the present invention will be described and illustrated by taking the acquisition of magnetic resonance images by a magnetic resonance imaging device as an example.

[0024] In this embodiment, a medical image acquisition method is provided, figure 1 is a flowchart of a medical image acquisition method according to an embodiment of th...

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Abstract

The invention relates to a medical image acquisition method and device, equipment and a computer readable storage medium. The method comprises the following steps: acquiring a medical image in real time; extracting gradient direction histogram features of the medical image; inputting the gradient direction histogram features of the medical image into a completely trained shallow machine learning model to obtain a classification result, the classification result being used for representing whether artifacts in the medical image influence identification of tissue features or not; and under the condition that the classification result shows that the artifacts in the medical image influence the identification of the tissue features, carrying out medical image acquisition again. According to the invention, the method solves a problem that a medical imaging system cannot recognize the image quality, achieves the recognition of the image quality of a medical image, achieves the automatic image re-scanning when the image quality is not enough, and effectively reduces the workload of a doctor.

Description

technical field [0001] The present invention relates to the field of medical image processing, in particular to a medical image acquisition method, device, equipment and computer-readable storage medium. Background technique [0002] In medical imaging systems, image quality depends on many factors, such as spatial resolution, tissue contrast, signal-to-noise ratio, contrast-to-noise ratio, image defects, etc. Among them, in scanning, the image quality of motion artifacts caused by the subject's movement such as breathing, heartbeat, and posture cannot be improved through optimization of hardware and scanning parameters, and poor image quality cannot meet Clinical diagnostic requirements. [0003] In order to present better image quality, after image reconstruction, physicians need to manually retrieve and observe the reconstructed images, and evaluate the integrity of the information contained in the images, so as to determine whether these images are reliable before data ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/62G06V10/764
CPCG06T7/0002G06T7/0012G06T2207/20081G06V2201/03G06F18/24G06T2207/20084G06T2207/10088G06T2207/10132G06T2207/30168G16H30/40G16H50/20G06N20/10G06N3/08G06V10/758G06V10/82G06V10/764G06N3/045G06T7/0014G06F18/2411G06F18/24155
Inventor 史宇航
Owner SHANGHAI UNITED IMAGING HEALTHCARE