MR ARTS-GROWL: a non-iterative motion-resistant technique for high spatiotemporal liver DCE imaging

Zhifeng Chen; Liyi Kang; Zhongbiao Xu; Chenguang Zhao; Feng Huang; Feng Liu; Ling Xia

MR ARTS-GROWL: a non-iterative motion-resistant technique for high spatiotemporal liver DCE imaging

Zhifeng Chen, Liyi Kang, Zhongbiao Xu, Chenguang Zhao, Feng Huang, Feng Liu, Ling Xia

Research output: Contribution to conference › Abstract › peer-review

Abstract

Motion, mainly caused by respiration, is an unavoidable problem in abdomen MR imaging, which often leads to image blurring and edgeghosting. We propose to combine motion-sorted information with dynamic artifi cial sparsity approach for radial dynamic contrast-enhanced(DCE) MR imaging. The results demonstrate that better image quality including SNR and low image bluring and more diagnostic information canbe generated compared to non-motion-resistant scheme incorporated method.

Original language	English
Number of pages	2
Publication status	Published - 2017
Externally published	Yes
Event	Annual Meeting of ISMRM 2017 - Honolulu, United States of America Duration: 22 Apr 2017 → 27 Apr 2017 Conference number: 25th https://www.ismrm.org/2017-annual-meeting-exhibition/

Conference

Conference	Annual Meeting of ISMRM 2017
Country/Territory	United States of America
City	Honolulu
Period	22/04/17 → 27/04/17
Internet address	https://www.ismrm.org/2017-annual-meeting-exhibition/

Cite this

@conference{64c00a0ba6594e848cac0d6ab49b63d7,

title = "MR ARTS-GROWL: a non-iterative motion-resistant technique for high spatiotemporal liver DCE imaging",

abstract = "Motion, mainly caused by respiration, is an unavoidable problem in abdomen MR imaging, which often leads to image blurring and edgeghosting. We propose to combine motion-sorted information with dynamic artifi cial sparsity approach for radial dynamic contrast-enhanced(DCE) MR imaging. The results demonstrate that better image quality including SNR and low image bluring and more diagnostic information canbe generated compared to non-motion-resistant scheme incorporated method.",

author = "Zhifeng Chen and Liyi Kang and Zhongbiao Xu and Chenguang Zhao and Feng Huang and Feng Liu and Ling Xia",

year = "2017",

language = "English",

note = "Annual Meeting of ISMRM 2017 ; Conference date: 22-04-2017 Through 27-04-2017",

url = "https://www.ismrm.org/2017-annual-meeting-exhibition/",

}

TY - CONF

T1 - MR ARTS-GROWL

T2 - Annual Meeting of ISMRM 2017

AU - Chen, Zhifeng

AU - Kang, Liyi

AU - Xu, Zhongbiao

AU - Zhao, Chenguang

AU - Huang, Feng

AU - Liu, Feng

AU - Xia, Ling

N1 - Conference code: 25th

PY - 2017

Y1 - 2017

N2 - Motion, mainly caused by respiration, is an unavoidable problem in abdomen MR imaging, which often leads to image blurring and edgeghosting. We propose to combine motion-sorted information with dynamic artifi cial sparsity approach for radial dynamic contrast-enhanced(DCE) MR imaging. The results demonstrate that better image quality including SNR and low image bluring and more diagnostic information canbe generated compared to non-motion-resistant scheme incorporated method.

AB - Motion, mainly caused by respiration, is an unavoidable problem in abdomen MR imaging, which often leads to image blurring and edgeghosting. We propose to combine motion-sorted information with dynamic artifi cial sparsity approach for radial dynamic contrast-enhanced(DCE) MR imaging. The results demonstrate that better image quality including SNR and low image bluring and more diagnostic information canbe generated compared to non-motion-resistant scheme incorporated method.

M3 - Abstract

Y2 - 22 April 2017 through 27 April 2017

ER -