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3D-EPI blip-up/down acquisition (BUDA) with CAIPI and joint Hankel structured low-rank reconstruction for rapid distortion-free high-resolution T 2 * mapping.
Chen, Zhifeng; Liao, Congyu; Cao, Xiaozhi; Poser, Benedikt A; Xu, Zhongbiao; Lo, Wei-Ching; Wen, Manyi; Cho, Jaejin; Tian, Qiyuan; Wang, Yaohui; Feng, Yanqiu; Xia, Ling; Chen, Wufan; Liu, Feng; Bilgic, Berkin.
Afiliação
  • Chen Z; 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.
  • Liao C; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
  • Cao X; Department of Radiology, Harvard Medical School, Charlestown, Massachusetts, USA.
  • Poser BA; Department of Data Science and AI, Faculty of IT, Monash University, Clayton, Victoria, Australia.
  • Xu Z; Department of Radiology, Stanford University, Stanford, California, USA.
  • Lo WC; Department of Radiology, Stanford University, Stanford, California, USA.
  • Wen M; Maastricht Brain Imaging Center, Faculty of Psychology and Neuroscience, University of Maastricht, Maastricht, The Netherlands.
  • Cho J; Department of Radiotherapy, Cancer Center, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Science, Guangzhou, China.
  • Tian Q; Siemens Medical Solutions, Boston, Massachusetts, USA.
  • Wang Y; Department of Chemical Pathology, The Chinese University of Hong Kong, Hong Kong, China.
  • Feng Y; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
  • Xia L; Department of Radiology, Harvard Medical School, Charlestown, Massachusetts, USA.
  • Chen W; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
  • Liu F; Department of Radiology, Harvard Medical School, Charlestown, Massachusetts, USA.
  • Bilgic B; Division of Superconducting Magnet Science and Technology, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, China.
Magn Reson Med ; 89(5): 1961-1974, 2023 05.
Article em En | MEDLINE | ID: mdl-36705076
PURPOSE: This 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 T 2 * $$ {\mathrm{T}}_2^{\ast } $$ mapping. METHODS: 3D 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 T 2 * $$ {\mathrm{T}}_2^{\ast } $$ mapping. For this, we propose constructing a joint Hankel matrix along both echo and shot dimensions to improve the reconstruction. RESULTS: Experimental 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 T 2 * $$ {\mathrm{T}}_2^{\ast } $$ mapping, parameter values from 3D-Joint-CAIPI-BUDA and reference multi-echo GRE are within limits of agreement as quantified by Bland-Altman analysis. CONCLUSIONS: The proposed technique enables rapid 3D distortion-free high-resolution imaging and T 2 * $$ {\mathrm{T}}_2^{\ast } $$ 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 T 2 * $$ {\mathrm{T}}_2^{\ast } $$ mapping in 47 s at 1.1 × 1.1 × 1.0 mm3 resolution.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Imagem Ecoplanar Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Imagem Ecoplanar Idioma: En Ano de publicação: 2023 Tipo de documento: Article