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whole\u2010brain imaging as well as quantitative  mapping.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      3D Blip\u2010up and \u2010down acquisition (3D\u2010BUDA) sequence is designed for both single\u2010 and multi\u2010echo 3D gradient recalled echo (GRE)\u2010EPI imaging using multiple shots with blip\u2010up and \u2010down readouts to encode\n                      <jats:italic>B<\/jats:italic>\n                      <jats:sub>0<\/jats:sub>\n                      field map information. Complementary k\u2010space coverage is achieved using controlled aliasing in parallel imaging (CAIPI) sampling across the shots. For image reconstruction, an iterative hard\u2010thresholding algorithm is employed to minimize the cost function that combines field map information informed parallel imaging with the structured low\u2010rank constraint for multi\u2010shot 3D\u2010BUDA data. Extending 3D\u2010BUDA to multi\u2010echo imaging permits  mapping. For this, we propose constructing a joint Hankel matrix along both echo and shot dimensions to improve the reconstruction.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Experimental results on in vivo multi\u2010echo data demonstrate that, by performing joint reconstruction along with both echo and shot dimensions, reconstruction accuracy is improved compared to standard 3D\u2010BUDA reconstruction. CAIPI sampling is further shown to enhance image quality. For  mapping, parameter values from 3D\u2010Joint\u2010CAIPI\u2010BUDA and reference multi\u2010echo GRE are within limits of agreement as quantified by Bland\u2013Altman analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      The proposed technique enables rapid 3D distortion\u2010free high\u2010resolution imaging and  mapping. Specifically, 3D\u2010BUDA enables 1\u2010mm isotropic whole\u2010brain imaging in 22\u2009s at 3T and 9\u00a0s on a 7T scanner. The combination of multi\u2010echo 3D\u2010BUDA with CAIPI acquisition and joint reconstruction enables distortion\u2010free whole\u2010brain  mapping in 47\u2009s at 1.1\u2009\u00d7\u20091.1\u2009\u00d7\u20091.0\u2009mm\n                      <jats:sup>3<\/jats:sup>\n                      resolution.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mrm.29578","type":"journal-article","created":{"date-parts":[[2023,1,27]],"date-time":"2023-01-27T05:54:55Z","timestamp":1674798895000},"page":"1961-1974","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["<scp>3D\u2010EPI<\/scp>\n                    blip\u2010up\/down acquisition (\n                    <scp>BUDA<\/scp>\n                    ) with\n                    <scp>CAIPI<\/scp>\n                    and joint\n                    <scp>H<\/scp>\n                    ankel structured low\u2010rank reconstruction for rapid distortion\u2010free high\u2010resolution T2* mapping"],"prefix":"10.1002","volume":"89","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7824-373X","authenticated-orcid":false,"given":"Zhifeng","family":"Chen","sequence":"first","affiliation":[{"name":"School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing &amp; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology Southern Medical University   Guangzhou China"},{"name":"Athinoula A. 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