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Intelligent medical image processing device and method

A medical image and processing device technology, applied in image data processing, image enhancement, image analysis, etc., can solve problems such as not mentioned, huge amount of calculation, differentiated diagnosis, etc.

Active Publication Date: 2017-09-15
GENERAL HOSPITAL OF PLA +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this document only processes the 3D voxel data of the MRI of the head, and the technical solution used is a 3D convolutional autoencoder
Since it is necessary to process all the 3-dimensional voxel data of the magnetic resonance imaging of each subject's head, this technical solution requires a huge amount of calculation, even if a high-performance computer or a high-performance computer cluster is used, the technical solution It is also difficult or even impossible to use clinically
In addition, the image data of the MRI of the clinical common scanning head is the image data of 20 to 40 two-dimensional slices, the method in the above-mentioned arXiv:1607.00556v1 document cannot be used for the MRI of the clinical common scanning head Imaging image data
In addition, the above-mentioned arXiv:1607.00556v1 document does not mention how to distinguish between stable and transformed amnestic mild cognitive impairment subjects

Method used

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  • Intelligent medical image processing device and method

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Experimental program
Comparison scheme
Effect test

Embodiment approach 1

[0028] Embodiment 1 Utilize the data of the Alzheimer's Disease Neuroimaging Initiative (ADNI for short) in the United States to realize the technical solution of the present invention for computer-aided recognition of the image data of the MRI image data of the cranium and the image data of the whole brain . Clinically confirmed Alzheimer's disease (AD), stable and transformed amnestic mild cognitive impairment (MCI) and normal elderly (NC) were downloaded from the official website of the Alzheimer's Disease Neuroimaging Program in the United States. ) head MRI image data,

[0029] Stable and transformed amnestic mild cognitive impairment (MCI) data have the time of scan for stable and transformed amnestic mild cognitive impairment (MCI).

[0030] The data of the Alzheimer's disease neuroimaging project in the United States, 3013 scan results (scans), 321 subjects (subject), can be divided into training set, verification set and test set

[0031] The condition of the traini...

Embodiment approach 2

[0048] Embodiment 2 Utilize the data of the Alzheimer's Disease Neuroimaging Initiative (ADNI for short) in the United States to realize the technical solution of the present invention for computer-aided recognition of the image data of the MRI image data of the cranium and the image data of the whole brain . Clinically confirmed Alzheimer's disease (AD), stable and transformed amnestic mild cognitive impairment (MCI) and normal elderly (NC) were downloaded from the official website of the Alzheimer's Disease Neuroimaging Program in the United States. ) head MRI image data,

[0049] The data of the Alzheimer's disease neuroimaging project in the United States, 3013 scan results (scans), 321 subjects (subject), can be divided into training set, verification set and test set

[0050] The condition of the training set

[0051]

[0052] The case of the validation set

[0053]

[0054] The case of the test set

[0055]

[0056] Whole-brain three-dimensional data of the...

Embodiment approach 3

[0067] Embodiment 3 Utilize the data of the Alzheimer's Disease Neuroimaging Initiative (ADNI for short) in the United States to realize the technical solution of the present invention for computer-aided recognition of the image data of the MRI image data of the cranium and the image data of the whole brain . Clinically confirmed Alzheimer's disease (AD), stable and transformed amnestic mild cognitive impairment (MCI) and normal elderly (NC) were downloaded from the official website of the Alzheimer's Disease Neuroimaging Program in the United States. ) head MRI image data,

[0068] The data of the Alzheimer's disease neuroimaging project in the United States, 3013 scan results (scans), 321 subjects (subject), can be divided into training set, verification set and test set

[0069] The condition of the training set

[0070]

[0071] The case of the validation set

[0072]

[0073] The case of the test set

[0074]

[0075] Whole-brain three-dimensional image data ...

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Abstract

The invention discloses an intelligent medical image processing device and method. Through utilization of a convolutional neural network of deep learning of artificial intelligence, a classification method for carrying out 4-classification on four situations of a normal elder group, groups which are clinically diagnosed as stable type and transformed type amnestic mild cognitive impairment, and a group which is clinically diagnosed as Alzheimer disease is realized. Through utilization of nuclear magnetic resonance image data of the normal elder group, the groups which are clinically diagnosed as stable type and transformed type amnestic mild cognitive impairment, and the group which is clinically diagnosed as Alzheimer disease, a training set, a verification set and a test set of the deep learning of the artificial intelligence are determined, and nuclear magnetic resonance three-dimensional data is converted into two-dimensional data through selection of two-dimensional slicing.

Description

technical field [0001] The present invention relates to an intelligent medical image processing device and method, in particular, it relates to a deep learning-based convolutional neural network that utilizes cranial nuclear magnetic resonance imaging to perform Alzheimer's disease and amnesia on the whole brain and / or hippocampus. Apparatus and method for image processing and analysis of pairwise discrimination between mild cognitive impairment and normal elderly group. Background technique [0002] Alzheimer's disease is a neurodegenerative disease. According to clinical statistics, 10% to 15% of subjects with amnestic mild cognitive impairment will become Alzheimer's within 1 to 8 years. For patients with Alzheimer's disease, such a situation of becoming a patient with Alzheimer's disease within about 1 to 8 years is called transformed amnestic mild cognitive impairment. The case of a patient who has not become Alzheimer's disease for more than 10 years can be called sta...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/10G06T7/33
CPCG06T7/0012G06T2207/10088G06T2207/20081G06T2207/20084G06T2207/30016G06T7/10G06T7/33
Inventor 张熙周波郭艳娥冯枫安宁豫姚洪祥罗亚川樊茂华赵思远
Owner GENERAL HOSPITAL OF PLA