Medical image data rapid auxiliary labeling and storage method and system

A medical image and storage system technology, applied in the field of rapid auxiliary labeling and storage of medical image data, can solve problems that cannot meet the needs of deep learning

Inactive Publication Date: 2019-05-21
邃蓝智能科技(上海)有限公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] In view of the above-mentioned problems existing in the current technology and the inability to meet the needs of deep learning, the present invention proposes a fast auxiliary labeling and storage method for medical image data. The storage method of the present invention can include data labeling information to meet the needs of deep learning

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  • Medical image data rapid auxiliary labeling and storage method and system
  • Medical image data rapid auxiliary labeling and storage method and system
  • Medical image data rapid auxiliary labeling and storage method and system

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Embodiment 1

[0069] Such as Figure 9 As shown, the rapid auxiliary labeling and storage method of medical image data in this embodiment includes the following steps:

[0070] (1) Data labeling process:

[0071] Before the data is marked, the ID of the video image will be read, including: PatientId, StudyId, StudyInstanceUid, SeriesInstanceUid, SopInstanceUid and other information.

[0072] The labeling process of data includes drawing frame labeling and / or cutting labeling;

[0073] After drawing the frame label, a rectangular frame will appear directly; after cutting the label, an irregular curved edge will appear. Such as Figure 3a-3f As shown, the labeling process also includes linear labeling, angular labeling, elliptical labeling, rectangular labeling, polygonal labeling and / or irregular labeling.

[0074] Also marked is the marked type. The type of annotation can be customized according to the needs of doctors or scientific researchers. For example, in the application of radi...

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Abstract

The invention provides a medical image data rapid auxiliary labeling and storage method, which comprises the steps of data labeling, data storage, data reading, data conversion and the like. The method comprises the following steps: A1, before data labeling, reading an image ID, wherein the image ID comprises the information of patient Id, StudyId, StudyInstanceUid, SertissInstanceUid and SopInstanceUid; A2, labeling the image; After the image labeling, a labeling box appears; A3, customizing a labeling type; B1, storing the annotation information in a JSON format, wherein the annotation information comprises an image ID, an annotation box and a user-defined annotation type; C1, during data reading, comparing the image with the ID of the JSON file, entering the next step if the image is consistent with the ID of the JSON file, and exiting if the image is inconsistent with the ID of the JSON file; C2, reading and displaying the annotation information. The method is compatible with an existing storage scheme. The storage scheme of labeled data in medical images can be effectively solved. The powerful support can be effectively provided for a deep learning algorithm. The invention also comprises an image multi-channel processing process which can be applied to an MRI system.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence image processing, in particular to a method and system for fast auxiliary labeling and storage of medical image data. Background technique [0002] CT (Computed Tomography), that is, electronic computer tomography, it uses precisely collimated X-ray beams, γ-rays, ultrasound, etc., together with highly sensitive detectors, to conduct cross-sectional scans one after another around a certain part of the human body. It has the characteristics of fast scanning time and clear images, and can be used for the examination of various diseases. The X-rays that pass through this layer are received by the detector, converted into visible light, converted from photoelectricity to electrical signals, and then converted into digital signals by an analog / digital converter (analog / digital converter) and input to a computer for processing. The processing of image formation is like dividing the sele...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H30/20G16H30/40G06N20/00
Inventor 曾亮朱新柳
Owner 邃蓝智能科技(上海)有限公司
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