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Radiomics based multi-modality magnetic resonance image difference detection method and device

A magnetic resonance image and difference detection technology, applied in the field of image processing, can solve problems such as large amount of calculation, long time consumption, unfavorable application, etc., so as to improve accuracy and stability, accurately identify differences between groups, and improve detection of differences between groups. the effect of the ability

Active Publication Date: 2016-09-07
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

Voxel-based methods are computationally intensive and time-consuming, which is not conducive to application

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  • Radiomics based multi-modality magnetic resonance image difference detection method and device
  • Radiomics based multi-modality magnetic resonance image difference detection method and device
  • Radiomics based multi-modality magnetic resonance image difference detection method and device

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Embodiment Construction

[0016] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0017] The difference detection method of multimodal magnetic resonance images based on radiomics is a new method of magnetic resonance image analysis. The method comprises the steps of:

[0018] Step 1: Preprocess the two sets of sample images, draw the regions of interest on the three sequences of T2WI-FLAIR, T1WI-CE and DWI-ADC of the two sets of sample images respectively, and extract the image features of the regions of interest on the three sequences ;

[0019] Step 2: Perform a two-sample T test on each image feature between the two sets of sample images to obtain the features with differences between the two sets of sample images, and determine the features with differences between the two groups to detect the tw...

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Abstract

The invention discloses a radiomics based multi-modality magnetic resonance image difference detection method and device. The method comprises the steps that 1) two groups of sample images are pre-processed, ROIs (Regions of Interest) are sketched in T2WI-FLAIR, T1WI-CE and DWI-ADC sequences of each group of sample images, and image features of the ROI in the three sequences are extracted; 2) double-sample T test is carried out on each image feature between the two groups of sample images, features with inter-group difference between the two groups of sample images are obtained, capability of detecting difference, between the two groups of sample images, of the features with inter-group difference is determined; and 3) the features with inter-group difference are combined in the weighted manner to obtain a new feature, and an adaboost classifier is used for image classification. According to the invention, the multi-sequence multi-parameter feature of magnetic resonance imaging is utilized, different sequences are combined to obtain more information, and inter-group difference of magnetic resonance imaging can be detected accurately.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a radiomics-based multimodal magnetic resonance image difference detection method and device. Background technique [0002] Magnetic Resonance Imaging (MRI) has been widely used in the diagnosis and treatment of neurological diseases due to its high spatial and temporal resolution and non-invasive characteristics. At the same time, different sequences of magnetic resonance imaging have different characteristics, and combining the advantages of each sequence can improve the accuracy of image judgment. Using radiomics-based quantitative image analysis methods to detect intergroup differences in magnetic resonance images is an important application of computer-aided analysis. [0003] There are mainly two classification methods of MRI image classification methods: region of interest (ROI) method and voxel method. The classification method of the region of inte...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/10088G06T2207/20104
Inventor 田捷刘振宇沈忱董迪臧亚丽杨彩云徐敏
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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