公开(公告)号：US10302726B2

公开(公告)日：2019-05-28

申请号：US15322502

申请日：2015-07-01

Applicant: KONINKLIJKE PHILIPS N.V. ,  TSINGHUA UNIVERSITY

Inventor： Feng Huang ,  Hua Guo ,  Zhe Zhang ,  Bi Da Bd Zhang

IPC: G01V3/00 ,  G01R33/561 ,  G01R33/563 ,  G01R33/565

Abstract: This invention provides an image processing method and apparatus for reconstructing an image of a site of a subject. The image processing method comprises: generating a first estimated phase of each shot of multiple shots of the site by sensitivity encoding based on shot data of the corresponding shot obtained for the site; reconstructing a first multiplexed sensitivity encoded image based on the first estimated phase of each shot and shot data of each shot; generating a second estimated phase of each shot of the multiple shots by regularized sensitivity encoding using the first multiplexed sensitivity encoded image; and reconstructing a second multiplexed sensitivity encoded image based on the second estimated phase of each shot and shot data of each shot. In this way, the quality of the finally reconstructed image in magnetic resonance imaging is further improved.

公开(公告)号：US09229082B2

公开(公告)日：2016-01-05

申请号：US13676184

申请日：2012-11-14

Applicant: Tsinghua University

Inventor： Hua Guo ,  Feng Huang ,  Xiaodong Ma ,  Wenchuan Wu ,  Chun Yuan

IPC: G01R33/561 ,  G01R33/563 ,  G01R33/48

CPC classification number: G01R33/5611 ,  G01R33/4824 ,  G01R33/56341

Abstract: A method for diffusion magnetic resonance imaging may be provided. The method may comprise steps of performing sampling on an object at N diffusion weighted directions to acquire undersampled but complementary k-space data, combining the complementary data from different directions to obtain a full sampled k-space data, performing initial reconstruction based on common information among images at the N diffusion weighted directions, and performing joint iterative regularized reconstruction to k-space data in all diffusion weighted directions based on the initial images to obtain the desired final images. Due to the utilization of common information at the N diffusion weighted directions, the acquisition efficiency may be enhanced and image resolution and SNR of acquired images may be improved accordingly.

Abstract translation: 可以提供扩散磁共振成像的方法。 该方法可以包括在N个扩散加权方向上对对象执行采样以获取欠采样但互补的k空间数据的步骤，组合来自不同方向的互补数据以获得全采样k空间数据，基于公共信息执行初始重建 在N个扩散加权方向的图像中，并且基于初始图像对所有扩散加权方向中的k空间数据执行联合迭代正则化重建以获得期望的最终图像。 由于在N个扩散加权方向上利用公共信息，可以提高采集效率，并且可以相应地提高所获取的图像的图像分辨率和SNR。

公开(公告)号：US20140091793A1

公开(公告)日：2014-04-03

申请号：US13676184

申请日：2012-11-14

Applicant: Tsinghua University

Inventor： Hua Guo ,  Feng Huang ,  Xiaodong Ma ,  Wenchuan Wu ,  Chun Yuan

IPC: G01R33/561

CPC classification number: G01R33/5611 ,  G01R33/4824 ,  G01R33/56341

Abstract: A method for diffusion magnetic resonance imaging may be provided. The method may comprise steps of performing sampling on an object at N diffusion weighted directions to acquire undersampled but complementary k-space data, combining the complementary data from different directions to obtain a full sampled k-space data, performing initial reconstruction based on common information among images at the N diffusion weighted directions, and performing joint iterative regularized reconstruction to k-space data in all diffusion weighted directions based on the initial images to obtain the desired final images. Due to the utilization of common information at the N diffusion weighted directions, the acquisition efficiency may be enhanced and image resolution and SNR of acquired images may be improved accordingly.

Abstract translation: 可以提供扩散磁共振成像的方法。 该方法可以包括在N个扩散加权方向上对对象执行采样以获取欠采样但互补的k空间数据的步骤，组合来自不同方向的互补数据以获得全采样k空间数据，基于公共信息执行初始重建 在N个扩散加权方向的图像中，并且基于初始图像对所有扩散加权方向中的k空间数据执行联合迭代正则化重建以获得期望的最终图像。 由于在N个扩散加权方向上利用公共信息，可以提高采集效率，并且可以相应地提高所获取的图像的图像分辨率和SNR。