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Image reconstruction method for multi-channel magnetic resonance imaging

A magnetic resonance imaging and magnetic resonance image technology, applied in image generation, image data processing, 2D image generation, etc., can solve the problems of not fully utilizing Fourier space consistency and large reconstruction errors

Active Publication Date: 2019-04-12
XIAMEN UNIV
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Problems solved by technology

[0005] However, the above-mentioned low-rank structured matrix method does not fully utilize the consistency of the Fourier space, resulting in large reconstruction errors

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  • Image reconstruction method for multi-channel magnetic resonance imaging
  • Image reconstruction method for multi-channel magnetic resonance imaging
  • Image reconstruction method for multi-channel magnetic resonance imaging

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Embodiment Construction

[0029] The present invention will be further described below through specific embodiments in conjunction with the accompanying drawings, and the reconstruction results will be given. In this embodiment, a magnetic resonance imager with a magnetic field strength of 3 Tesla is used to image the volunteers' brains. The full sampling data is the 4-channel data of the magnetic resonance imaging whole-body scanner. The sequence used in this embodiment is T2-weighted fast spin echo, the direct and indirect dimensions of full sampling are both 256 points, TR / TE=6100ms / 99ms, the field of view is 220mm×220mm, and the slice thickness is 3mm. Sampling templates (such as figure 1 As shown) samples 34% of the data, then the sampled data points are 22272 points. Regularization parameter λ 1 =10 4 ,λ 2 =10 6 . In this embodiment, i=2, Indicates weighting along the row direction, Represents weighting along the column direction, β 1 = β 2 =1. Specific steps are as follows:

[003...

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Abstract

The invention discloses an image reconstruction method for multi-channel magnetic resonance imaging, and relates to magnetic resonance imaging. The method comprises the following steps: firstly, establishing an image reconstruction model combining a low-rank Hankel matrix and data consistency, then establishing an improved reconstruction model for avoiding singular value decomposition, then reconstructing Fourier space data of magnetic resonance through an iterative algorithm, and finally converting the Fourier space data into a final magnetic resonance image. By combining the low-rank Hankelmatrix with the data consistency, the correlation between coils of parallel magnetic resonance is utilized, and the influence of inaccurate sensitivity images is reduced, so that magnetic resonance images with better artifact inhibition and more reserved edges can be reconstructed, the artifacts can be effectively inhibited, and more edge characteristics can be reserved.

Description

technical field [0001] The invention relates to magnetic resonance imaging, in particular to an image reconstruction method for multi-channel magnetic resonance imaging. Background technique [0002] Magnetic resonance imaging is an important medical imaging diagnostic tool in medicine. However, magnetic resonance imaging requires a long time to acquire data in Fourier space. Both parallel imaging and sparse sampling can be used to reconstruct MR images from data acquired at less than the Nyquist sampling rate and thus can be used to shorten the sampling time. [0003] In parallel imaging, the coil array acquires more information than a single coil, thus enabling less Fourier-space acquisition. Typical parallel imaging methods include sensitivity encoding (K.P. Pruessmann, M. Weiger, M.B. Scheidegger, and P. Boesiger, "SENSE: sensitivity encoding for fast MRI," Magnetic Resonance in Medicine, vol.42, pp.952-962, 1999 .), generalized autocalibrating partially parallel acqu...

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Application Information

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IPC IPC(8): G06T11/00
CPCG06T11/005G06T11/008G06T2210/41G06T2211/416
Inventor 屈小波
Owner XIAMEN UNIV
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