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Joint reconstruction method for multiple dynamic contrast enhancement nuclear magnetic resonance images

A nuclear magnetic resonance image and dynamic contrast technology, applied in image enhancement, image data processing, 2D image generation, etc., can solve problems such as unbalanced energy distribution of MR images, achieve fast reconstruction speed, accurate resulting images, short time effect

Active Publication Date: 2014-10-01
SHENZHEN BASDA MEDICAL APP
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Problems solved by technology

Second, uniform random sampling in the MRI frequency domain does not take into account the uneven distribution of MR image energy in K-space

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  • Joint reconstruction method for multiple dynamic contrast enhancement nuclear magnetic resonance images
  • Joint reconstruction method for multiple dynamic contrast enhancement nuclear magnetic resonance images
  • Joint reconstruction method for multiple dynamic contrast enhancement nuclear magnetic resonance images

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Embodiment Construction

[0044] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0045] The method for joint reconstruction of multiple dynamic contrast-enhanced nuclear magnetic resonance images based on the theory of group sparsity in the present invention, the flow chart of which is as follows figure 1 shown, including the following steps:

[0046] Step 1: Select multiple DCE-MR images m i Perform Fourier transform, where m represents an image, i represents one of the images, and the value of i is a natural number. The selected multiple DCE-MR images are the same slice at different times after injecting a certain dose of contrast agent. Point-presented MR images, and transform multiple images from the spatial domain to the frequency domain;

[0047] The expression form f r (x, y) (that is, spatial information), transformed into the corresponding frequency domain (that is, the so-called k-space), using the following discre...

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Abstract

The invention discloses a joint reconstruction method for multiple dynamic contrast enhancement nuclear magnetic resonance images. According to the method, a conjugate gradient algorithm is combined with a variable density random sampling method to reconstruct the DCE-MRIs in a high probability and efficiency mode from local k-space sampling data. The method includes the following steps of Fourier transform of the images, design of a sampling template, downsampling through the sampling template, inverse Fourier transform, design of wavelet sparse transformation matrix coefficients, design of a constrained energy function, conversion of the constrained energy function into a unconstrained problem through a Laplace operator, acquisition of a solution through the conjugate gradient algorithm based on QUOTE l2,1 l2,1 norms, quantitative evaluation of an obtained reconstruction result of the DCE-MRIs, and difference value contrast of the reconstruction result and the organic images. The reconstruction speed of the images is faster, accuracy and definition are higher, and according to the result, a good contrast mid-value sequence, the high signal to noise ratio, sufficient analysis coverage and rapid data acquisition are achieved.

Description

technical field [0001] The invention discloses a method for joint reconstruction of multiple dynamic contrast-enhanced nuclear magnetic resonance images, and relates to the technical field of image information processing. Background technique [0002] Magnetic resonance image (MagNetic ResoNaNce ImagiNg, MRI, hereinafter referred to as MR image), as an important means of medical diagnosis, also plays an important role in the early diagnosis of cancer. In medicine, MRI works by taking many (but still finite) measurements (essentially discrete X-ray transformations of images of the human body) and then processing the data to generate images (in this case, inside the human body). density distribution image of water). According to the Nyquist sampling theorem, when the sampling rate reaches more than twice the signal bandwidth, the original signal can be accurately reconstructed from the sampled signal. It can be seen that bandwidth is the essential requirement of Nyquist samp...

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Application Information

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IPC IPC(8): G06T11/00G06T5/00A61B5/055
Inventor 徐军王冠皓
Owner SHENZHEN BASDA MEDICAL APP
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