3D‐EPI blip‐up/down acquisition (BUDA) with CAIPI and joint Hankel structured low‐rank reconstruction for rapid distortion‐free high‐resolution T2* mapping

Author:

Chen Zhifeng1234ORCID,Liao Congyu5ORCID,Cao Xiaozhi5,Poser Benedikt A.6ORCID,Xu Zhongbiao7,Lo Wei‐Ching8,Wen Manyi9,Cho Jaejin23ORCID,Tian Qiyuan23ORCID,Wang Yaohui10ORCID,Feng Yanqiu111ORCID,Xia Ling1213,Chen Wufan1,Liu Feng14,Bilgic Berkin2315ORCID

Affiliation:

1. School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing & Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology Southern Medical University Guangzhou China

2. Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Charlestown Massachusetts USA

3. Department of Radiology Harvard Medical School Charlestown Massachusetts USA

4. Department of Data Science and AI Faculty of IT, Monash University Clayton Victoria Australia

5. Department of Radiology Stanford University Stanford California USA

6. Maastricht Brain Imaging Center, Faculty of Psychology and Neuroscience University of Maastricht Maastricht The Netherlands

7. Department of Radiotherapy Cancer Center, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Science Guangzhou China

8. Siemens Medical Solutions Boston Massachusetts USA

9. Department of Chemical Pathology The Chinese University of Hong Kong Hong Kong China

10. Division of Superconducting Magnet Science and Technology Institute of Electrical Engineering, Chinese Academy of Sciences Beijing China

11. Guangdong‐Hong Kong‐Macao Greater Bay Area Center for Brain Science and Brain‐Inspired Intelligence & Key Laboratory of Mental Health of the Ministry of Education Southern Medical University Guangzhou China

12. Department of Biomedical Engineering Zhejiang University Hangzhou China

13. Research Center for Healthcare Data Science Zhejiang Lab Hangzhou China

14. School of Information Technology and Electrical Engineering The University of Queensland Brisbane Queensland Australia

15. Harvard‐MIT Division of Health Sciences and Technology Massachusetts Institute of Technology Cambridge Massachusetts USA

Abstract

PurposeThis work aims to develop a novel distortion‐free 3D‐EPI acquisition and image reconstruction technique for fast and robust, high‐resolution, whole‐brain imaging as well as quantitative mapping.Methods3D Blip‐up and ‐down acquisition (3D‐BUDA) sequence is designed for both single‐ and multi‐echo 3D gradient recalled echo (GRE)‐EPI imaging using multiple shots with blip‐up and ‐down readouts to encode B0 field map information. Complementary k‐space coverage is achieved using controlled aliasing in parallel imaging (CAIPI) sampling across the shots. For image reconstruction, an iterative hard‐thresholding algorithm is employed to minimize the cost function that combines field map information informed parallel imaging with the structured low‐rank constraint for multi‐shot 3D‐BUDA data. Extending 3D‐BUDA to multi‐echo imaging permits mapping. For this, we propose constructing a joint Hankel matrix along both echo and shot dimensions to improve the reconstruction.ResultsExperimental results on in vivo multi‐echo data demonstrate that, by performing joint reconstruction along with both echo and shot dimensions, reconstruction accuracy is improved compared to standard 3D‐BUDA reconstruction. CAIPI sampling is further shown to enhance image quality. For mapping, parameter values from 3D‐Joint‐CAIPI‐BUDA and reference multi‐echo GRE are within limits of agreement as quantified by Bland–Altman analysis.ConclusionsThe proposed technique enables rapid 3D distortion‐free high‐resolution imaging and mapping. Specifically, 3D‐BUDA enables 1‐mm isotropic whole‐brain imaging in 22 s at 3T and 9 s on a 7T scanner. The combination of multi‐echo 3D‐BUDA with CAIPI acquisition and joint reconstruction enables distortion‐free whole‐brain mapping in 47 s at 1.1 × 1.1 × 1.0 mm3 resolution.

Funder

China Postdoctoral Science Foundation

Major Scientific Project of Zhejiang Laboratory

National Natural Science Foundation of China

National Institute of Biomedical Imaging and Bioengineering

National Institute of Mental Health

Nvidia

Science and Technology Planning Project of Guangdong Province

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3