PPI joint reconstruction method of multi-contrast magnetic resonance images

Abstract

The invention relates to the field of reconstruction of magnetic resonance images, for the purpose of providing a PPI joint reconstruction method of multi-contrast magnetic resonance images. The PPI joint reconstruction method of the multi-contrast magnetic resonance images comprises the following process: obtaining the multi-contrast magnetic resonance images needing image reconstruction, reconstructing the acquired images by use of a space sensitivity encoding technology, performing the image reconstruction by use of a model, and finally obtaining reconstructed images through calculation. According to the invention, a rapid and highly efficient reconstruction algorithm is designed through establishment of a reasonable mathematical model and is applied to the problem of joint reconstruction of the magnetic resonance image, such that the purposes of shortening the scanning time, improving the imaging quality and reducing the pain of patients and the treatment cost can be effectively realized.

Description

technical field [0001] The invention relates to the field of magnetic resonance imaging, in particular to a method for joint reconstruction of PPI multi-contrast magnetic resonance images. Background technique [0002] Magnetic resonance imaging is a technology that uses the principle of nuclear magnetic resonance to image the human body. It can accurately obtain the physiological function, anatomical structure and lesion information of human tissues and organs, and has become one of the important means of medical diagnosis today. [0003] However, limited by the Nyquist sampling theorem, in order to obtain a good imaging effect, it is necessary to obtain a large amount of K-space (ie, Fourier space) data, which will take a relatively long scanning time. Excessively long scanning time will cause the following problems: 1. It will cause additional pain to the patient; 2. In some cases where short-term scanning is required, the movement of organs (such as breathing, blinking, ...

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Problems solved by technology

[0003] However, limited by the Nyquist sampling theorem, in order to obtain a good imaging effect, it is necessary to obtain a large amount of K-space (ie Fourier space) data, which will take a relatively long scanning time

Excessive scanning time will cause the following problems: 1. It will cause additional pain to the patient; 2. In some cases where short-term scanning is required, the movement of the organs (such as breathing, blinking, swallowing, etc.) will cause image damage. Blurring and distortion; 3. It cannot meet the requirements of high-end clinical applications such as cardiac real-time imaging, etc.

However, since PPI uses undersampling, the sampling frequency of the undersampling method does not meet the Nyquist sampling frequency, which leads to aliasing artifacts

The request to reconstruct the image could not be met

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