A video block matching 3D transform-domain collaborative filtering approach for high spatiotemporal resolution DCE-MRI

Zhongbiao Xu; Zhenguo Yuan; Yaohui Wang; Junying Cheng; Rongli Zhang; Ling Xia; Yanqiu Feng; Feng Liu; Zhifeng Chen

A video block matching 3D transform-domain collaborative filtering approach for high spatiotemporal resolution DCE-MRI

Zhongbiao Xu, Zhenguo Yuan, Yaohui Wang, Junying Cheng, Rongli Zhang, Ling Xia, Yanqiu Feng, Feng Liu, Zhifeng Chen

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

Abstract

High spatiotemporal resolution DCE-MRI has great clinical value in disease diagnosis and treatment. In this study, we propose to use a video block matching 3-D filtering approach to improve high spatiotemporal resolution DCE-MRI. Both phantom and in vivo experiments were performed in this work. The phantom experiment indicated that the proposed approach outperforms iGRASP and GRASP-Pro methods with lower reconstruction errors, especially in cases involving super high reduction factors. In vivo experiments draw similar conclusion. This new technique can provide a potential solution for real-time imaging and image guided radiation therapy.

Original language	English
Number of pages	3
Publication status	Published - 2021
Externally published	Yes
Event	Annual Meeting of ISMRM 2021 - Vancouver, Canada Duration: 15 May 2021 → 20 May 2021 Conference number: 29th https://www.ismrm.org/21m/

Conference

Conference	Annual Meeting of ISMRM 2021
Country/Territory	Canada
City	Vancouver
Period	15/05/21 → 20/05/21
Internet address	https://www.ismrm.org/21m/

Cite this

@conference{6eabacf93f4a49aeb262abf7fa0ba7fd,

title = "A video block matching 3D transform-domain collaborative filtering approach for high spatiotemporal resolution DCE-MRI",

abstract = "High spatiotemporal resolution DCE-MRI has great clinical value in disease diagnosis and treatment. In this study, we propose to use a video block matching 3-D filtering approach to improve high spatiotemporal resolution DCE-MRI. Both phantom and in vivo experiments were performed in this work. The phantom experiment indicated that the proposed approach outperforms iGRASP and GRASP-Pro methods with lower reconstruction errors, especially in cases involving super high reduction factors. In vivo experiments draw similar conclusion. This new technique can provide a potential solution for real-time imaging and image guided radiation therapy.",

author = "Zhongbiao Xu and Zhenguo Yuan and Yaohui Wang and Junying Cheng and Rongli Zhang and Ling Xia and Yanqiu Feng and Feng Liu and Zhifeng Chen",

year = "2021",

language = "English",

note = "Annual Meeting of ISMRM 2021 ; Conference date: 15-05-2021 Through 20-05-2021",

url = "https://www.ismrm.org/21m/",

}

TY - CONF

T1 - A video block matching 3D transform-domain collaborative filtering approach for high spatiotemporal resolution DCE-MRI

AU - Xu, Zhongbiao

AU - Yuan, Zhenguo

AU - Wang, Yaohui

AU - Cheng, Junying

AU - Zhang, Rongli

AU - Xia, Ling

AU - Feng, Yanqiu

AU - Liu, Feng

AU - Chen, Zhifeng

N1 - Conference code: 29th

PY - 2021

Y1 - 2021

N2 - High spatiotemporal resolution DCE-MRI has great clinical value in disease diagnosis and treatment. In this study, we propose to use a video block matching 3-D filtering approach to improve high spatiotemporal resolution DCE-MRI. Both phantom and in vivo experiments were performed in this work. The phantom experiment indicated that the proposed approach outperforms iGRASP and GRASP-Pro methods with lower reconstruction errors, especially in cases involving super high reduction factors. In vivo experiments draw similar conclusion. This new technique can provide a potential solution for real-time imaging and image guided radiation therapy.

AB - High spatiotemporal resolution DCE-MRI has great clinical value in disease diagnosis and treatment. In this study, we propose to use a video block matching 3-D filtering approach to improve high spatiotemporal resolution DCE-MRI. Both phantom and in vivo experiments were performed in this work. The phantom experiment indicated that the proposed approach outperforms iGRASP and GRASP-Pro methods with lower reconstruction errors, especially in cases involving super high reduction factors. In vivo experiments draw similar conclusion. This new technique can provide a potential solution for real-time imaging and image guided radiation therapy.

M3 - Abstract

T2 - Annual Meeting of ISMRM 2021

Y2 - 15 May 2021 through 20 May 2021

ER -