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Lesion identification method and device, computer device, and readable storage medium

A recognition method and part technology, applied in the field of image processing, to achieve the effect of improving accuracy

Active Publication Date: 2018-11-20
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, a doctor's diagnosis will cost a lot of manpower and material resources, and the diagnosis result largely depends on the doctor's professional level

Method used

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  • Lesion identification method and device, computer device, and readable storage medium
  • Lesion identification method and device, computer device, and readable storage medium
  • Lesion identification method and device, computer device, and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0062] figure 1 It is a flow chart of the method for identifying lesion parts provided by Embodiment 1 of the present invention. The lesion identification method is applied to a computer device. The lesion identification method performs lesion identification according to different sequences of magnetic resonance images, determines whether the preset site is a lesion, and determines the specific location of the lesion.

[0063] like figure 1 As shown, the lesion identification method specifically includes the following steps:

[0064] Step 101 , acquiring a first magnetic resonance image and a second magnetic resonance image obtained by performing magnetic resonance scanning on preset parts of a human body using different magnetic resonance scanning sequences.

[0065] MRI (Magnetic Resonance Imaging, Magnetic Resonance Imaging) image is one of the commonly used medical images. MRI imaging is a type of tomography. It uses magnetic resonance phenomena to obtain electromagneti...

Embodiment 2

[0124] Figure 4 It is a structural diagram of a lesion identification device provided in Embodiment 2 of the present invention. like image 3 As shown, the lesion identification device 10 may include: an acquisition unit 401 , a registration unit 402 , a detection unit 403 , a prediction unit 404 , and a judgment unit 405 .

[0125] The obtaining unit 401 is configured to obtain a first magnetic resonance image and a second magnetic resonance image obtained by performing magnetic resonance scanning on preset parts of the human body using different magnetic resonance scanning sequences.

[0126] MRI (Magnetic Resonance Imaging, Magnetic Resonance Imaging) image is one of the commonly used medical images. MRI imaging is a type of tomography. It uses magnetic resonance phenomena to obtain electromagnetic signals from the human body and reconstruct human body information to obtain MRI images. .

[0127] In a specific embodiment, the method for identifying a lesion site can be ...

Embodiment 3

[0185] Figure 5 It is a schematic diagram of a computer device provided by Embodiment 3 of the present invention. The computer device 1 includes a memory 20 , a processor 30 and a computer program 40 stored in the memory 20 and executable on the processor 30 , such as a lesion recognition program. When the processor 30 executes the computer program 40, it realizes the steps in the above embodiment of the method for identifying lesion parts, for example figure 1 Steps 101-105 are shown. Alternatively, when the processor 30 executes the computer program 40, it realizes the functions of the modules / units in the above device embodiments, for example Figure 4 Units 401-405 in.

[0186]Exemplarily, the computer program 40 can be divided into one or more modules / units, and the one or more modules / units are stored in the memory 20 and executed by the processor 30 to complete this invention. The one or more modules / units may be a series of computer program instruction segments c...

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Abstract

The invention provides a lesion identification method including the steps that a first magnetic resonance image and a second magnetic resonance image obtained by magnetic resonance scanning of the preset part of the human body with different magnetic resonance scanning sequences are acquired; image registration is performed on the first magnetic resonance image and the second magnetic resonance image; using the trained regression convolutional neural network model to detect the first preset region in the first magnetic resonance image after registration and the second preset region in the second magnetic resonance image after registration; the first convolutional neural sub-network of the trained dual-trained convolutional neural network model is appled to predict the first lesion probability of the first preset region and the second lesion probability of the second preset region; and whether the preset part is the lesion or not is judged according to the first lesion probability and the second lesion probability. The invention also provides a lesion identification device, a computer device and a computer readable storage medium. The invention can realize high-accuracy lesion identification.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and device for identifying lesion parts in a magnetic resonance image, a computer device and a computer-readable storage medium. Background technique [0002] Prostate cancer (PCa) is a deadly cancer with a high mortality rate, with 180,890 newly diagnosed cases in 2016, and a forecast of 1,700,000 cases and 500,000 deaths per year in 2030. Early diagnosis of prostate cancer can greatly improve the cure rate of prostate cancer. Today's prostate cancer diagnosis is mainly based on the prostate specific antigen (PSA) blood test and digital rectal examination (DRE). If the PSA result is positive, then transrectal ultrasound (TRUS) biopsy (transrectal ultrasound (TRUS) biopsy). However, traditional detection methods have great limitations, which will cause misdiagnosis and affect treatment. [0003] Recent studies have shown that Magnetic Resonance Imaging (MRI) ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/33
CPCG06T7/0012G06T2207/10088G06T2207/20081G06T2207/20084G06T2207/30081G06T7/33
Inventor 刘新卉王健宗肖京
Owner PING AN TECH (SHENZHEN) CO LTD
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