Nuclear magnetic image super-resolution system and method

A super-resolution, nuclear magnetic image technology, applied in the field of nuclear magnetic image super-resolution systems, can solve problems such as large noise interference and inability to high signal-to-noise ratio

Active Publication Date: 2014-10-29
NORTHEASTERN UNIV
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Problems solved by technology

[0003] In the existing research on image super-resolution algorithms, the processed image data is often too ideal, and the interference by noise is very small, and it can be processed by using the traditional super-resolution method; however, for non-op

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  • Nuclear magnetic image super-resolution system and method

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Embodiment Construction

[0059] Below in conjunction with accompanying drawing, specific embodiment of the present invention is described in detail, as figure 1 shown.

[0060] A nuclear magnetic image super-resolution system includes an image super-resolution training unit, an image super-resolution unit and a random parameter generator.

[0061] The image super-resolution training unit includes a first degrader, a degraded image allocator, a first interpolator, a first feature extractor, a training set allocator, a first splitter, a first vectorizer, a first stripper, First converter, weight vector parameter generator and parameter selector.

[0062] The image super-resolution unit includes a second degrader, a second interpolator, a second feature extractor, a second segmenter, a second vectorizer, a second stripper, a second converter and a super-resolutioner.

[0063] Random parameter generator: It is used to use the ELM principle to randomly set the number L of neural network hidden layer node...

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Abstract

The invention relates to a nuclear magnetic image super-resolution system and method. The system comprises an image super-resolution training unit, an image super-resolution unit and a random parameter generator. The method includes performing degradation, interpolation and feature image extraction on an original nuclear magnetic image to obtain a feature image set, performing partition and vectorization on images in the feature image set to obtain a feature matrix and a target matrix of an image super-resolution training set, calculating weight vector parameters of neural network output nodes through the ELM (Extrem Learning Machine) principle, and selecting the optimal parameters from the weight vector parameters of the neural network output nodes to complete the image super-resolution training. According to the nuclear magnetic image super-resolution system and method, the original nuclear magnetic image is subjected to the degradation, interpolation, feature image extraction, partition and vectorization to obtain the feature matrix of the original nuclear magnetic image, and the ELM principle and the optimal parameters are used for obtaining super-resolution images of the original nuclear magnetic image through the feature matrix of the original nuclear magnetic image.

Description

technical field [0001] The invention belongs to the technical field of post-processing of medical images, and in particular relates to a system and method for nuclear magnetic image super-resolution. Background technique [0002] At present, MRI images have become an important detection method for clinical diagnosis, and the quality of MRI directly affects doctors' diagnosis of diseases. However, restricted by the development of nuclear magnetic resonance hardware, the method of nuclear magnetic image super-resolution has received more and more attention. At present, there are many related researches on image super-resolution. According to the input method, it can be divided into two categories, one is based on single image Image super-resolution technology, another type is based on multiple image input technology. However, there is no practical and effective super-resolution technology for nuclear magnetic images in these two types of technologies. Therefore, how to obtai...

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Application Information

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IPC IPC(8): G06T7/00G06T5/00
Inventor 信俊昌王中阳康雁王之琼田硕汪良波
Owner NORTHEASTERN UNIV
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