Invention Grant
US09395430B2 Method of generating magnetic resonance image, method of acquiring phase information of phase contrast image, method of acquiring phase information of susceptibility weighted image, and apparatus for generating magnetic resonance image
有权
产生磁共振图像的方法,获取相位对比图像的相位信息的方法,获取磁敏度加权图像的相位信息的方法,以及用于产生磁共振图像的装置
- Patent Title: Method of generating magnetic resonance image, method of acquiring phase information of phase contrast image, method of acquiring phase information of susceptibility weighted image, and apparatus for generating magnetic resonance image
- Patent Title (中): 产生磁共振图像的方法,获取相位对比图像的相位信息的方法,获取磁敏度加权图像的相位信息的方法,以及用于产生磁共振图像的装置
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Application No.: US14487514Application Date: 2014-09-16
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Publication No.: US09395430B2Publication Date: 2016-07-19
- Inventor: Hyun-wook Park , Jae-moon Jo , Dong-chan Kim , Ye-ji Han
- Applicant: SAMSUNG ELECTRONICS CO., LTD. , KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY
- Applicant Address: KR Suwon-si KR Daejeon-si
- Assignee: SAMSUNG ELECTRONICS CO., LTD.,KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY
- Current Assignee: SAMSUNG ELECTRONICS CO., LTD.,KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY
- Current Assignee Address: KR Suwon-si KR Daejeon-si
- Agency: Sughrue Mion, PLLC
- Priority: KR10-2013-0111181 20130916
- Main IPC: G06K9/52
- IPC: G06K9/52 ; G01R33/561 ; A61B5/055 ; G01R33/56 ; G01R33/565

Abstract:
Disclosed are a magnetic resonance (MR) image generating method and apparatus that perform imaging on an MR image by using a radio frequency (RF) multi-coil which includes a plurality of channel coils. The MR image generating method includes generating a plurality of pieces of K-space completion data which respectively correspond to the plurality of channel coils and converting the plurality of pieces of K-space completion data to a frequency domain in order to generate a plurality of pieces of image data, combining the plurality of pieces of image data in order to acquire an MR image, and acquiring phase information which relates to the MR image based on the plurality of pieces of image data and the plurality of pieces of K-space completion data.
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