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Water and fat separation method based on under-sampling k-space data

A water-fat separation and spatial data technology, applied in the field of medical image processing, can solve the problems of water-fat separation failure, large computer resources, and consumption, and achieve the effect of low calculation amount and calculation demand, and easy image merging

Active Publication Date: 2012-11-14
SHENZHEN UNITED IMAGING HEALTHCARE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This method can shorten the scanning time and obtain a better image, but the region growing method has certain instability and requires a large amount of computer resources, which is likely to cause local water-fat separation failure

Method used

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  • Water and fat separation method based on under-sampling k-space data
  • Water and fat separation method based on under-sampling k-space data
  • Water and fat separation method based on under-sampling k-space data

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Embodiment 1

[0040] This embodiment provides a water-fat separation method for under-sampled k-space data, and the specific implementation process is as follows:

[0041] Fast spin echo is called FSE (Fast Spin Echo) or Turbo SE (TSE) for short. In a common SE sequence, a 90° RF pulse is first transmitted in a TR cycle, and then a 180° RF pulse is transmitted to form a spin echo. The FSE sequence is the same as the multi-echo sequence. In one TR period, a 90° RF pulse is firstly transmitted, and then multiple 180° RF pulses are successively transmitted to form multiple spin echoes. However, there is an essential difference between the two. In the multi-echo SE sequence, a specific phase encoding data is obtained in each TR cycle, that is, the phase gradient in each TR is scanned with the same intensity, and the collected data only fills one row of k-space, and each echo participates in generating a images, and finally multiple images with different weights can be obtained. In the FSE se...

Embodiment 2

[0072] This embodiment provides another water-fat separation method for under-sampled k-space data, which differs from Embodiment 1 in that in the sixth step, images from different echoes of different channels are input according to image 3 The process shown is processed, and the specific processing method is: B1. Input the images of different echoes of each imaging channel, and use the VARPRO method to calculate the B0, water image and fat image corresponding to each imaging channel; B2. For a single channel The B0, water image and fat image above are combined accordingly.

[0073] The solution described in this embodiment and the solution described in Embodiment 1 may be complementary implementation solutions. Its selection may be based on the signal-to-noise ratio of the image, etc. For example, the noise level pre-scan before imaging can be collected to obtain the signal-to-noise ratio of a single channel, or based on the ratio of the k-space echo center to the platfor...

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Abstract

The invention discloses a water and fat separation method based on under-sampling k-space data. The method includes steps of, step one, respectively acquiring k-space trajectory parameters and k-space raw data according to magnetic resonance (MR) raw data; step two, selecting a parameter system matrix according to the k-space trajectory parameters; step three, acquiring echo data of each channel according to the k-space raw data; step four, executing regularization iteration image reconstruction by using the parameter system matrix and the echo data of each channel; and step five, subjecting reconstructed images to variable projection (VARPRO) water and fat separation calculating to obtain a final image. The water and fat separation method based on the under-sampling k-space data is applicable to more scanning tracks, and by means of a VARPRO water and fat separation algorithm, a phase diagram, a B0 field image, a water image and a fat image which are irrelevant to main magnetic field inhomogeneity are separated; the water and fat separation method based on the under-sampling k-space data has advantages of VARPRO iteration field image calculating and is insensitive to seed points; and the water and fat separation method based on the under-sampling k-space data is smaller in calculated amount and fewer in calculating requirements, image merging is easier to finish, and a system function which is capable of achieving parallel imaging can be introduced.

Description

technical field [0001] The invention belongs to the field of medical image processing, and relates to a water-fat separation method based on under-sampling k-space data. Background technique [0002] In MRI, due to the presence of local inhomogeneous fields, conventional fat suppression methods, water excitation methods, and short inversion recovery (STIR) will suppress fat failure in these areas, resulting in certain pathological structures being highlighted by fat Signal covered. The multi-point Dixon method based on the chemical shift of water and fat has better robustness under this condition. Conventional multi-point Dixon methods are based on Cartesian k-space filled data for reconstruction, and these data acquisitions are usually combined with spin echo, fast spin echo, gradient echo, etc. This method usually requires full k-space filling to avoid undersampling artifacts and takes too long to scan. At the same time, this Cartesian filling method is sensitive to mov...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 张强
Owner SHENZHEN UNITED IMAGING HEALTHCARE CO LTD
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