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Conference Paper: M4Raw: A Multi-Contrast Multi-Repetition Multi-Channel Raw K-Space Dataset For Low-Field MRI Reconstruction

TitleM4Raw: A Multi-Contrast Multi-Repetition Multi-Channel Raw K-Space Dataset For Low-Field MRI Reconstruction
Authors
Issue Date6-Jun-2023
Abstract

We release a new raw k-space dataset M4Raw acquired by the low-field MRI. Currently, it contains multi-channel brain data of 180 subjects each with 18 slices x 3 contrasts (T1w, T2w, and FLAIR). Moreover, each contrast consists of two or three repetitions (a.k.a. NEXs), leading to more than 25k trainable slices in total, which can be used in various ways by the low-field MRI community. It can be accessed via http://github.com/mylyu/M4Raw.


Persistent Identifierhttp://hdl.handle.net/10722/337789

 

DC FieldValueLanguage
dc.contributor.authorLyu, M-
dc.contributor.authorMei, L-
dc.contributor.authorLiu, S-
dc.contributor.authorHuang, S-
dc.contributor.authorLi, Y-
dc.contributor.authorYang, K-
dc.contributor.authorLiu, Y-
dc.contributor.authorWu, EX-
dc.date.accessioned2024-03-11T10:23:54Z-
dc.date.available2024-03-11T10:23:54Z-
dc.date.issued2023-06-06-
dc.identifier.urihttp://hdl.handle.net/10722/337789-
dc.description.abstract<p>We release a new raw k-space dataset M4Raw acquired by the low-field MRI. Currently, it contains multi-channel brain data of 180 subjects each with 18 slices x 3 contrasts (T1w, T2w, and FLAIR). Moreover, each contrast consists of two or three repetitions (a.k.a. NEXs), leading to more than 25k trainable slices in total, which can be used in various ways by the low-field MRI community. It can be accessed via <a href="http://github.com/mylyu/M4Raw">http://github.com/mylyu/M4Raw</a>.<br></p>-
dc.languageeng-
dc.relation.ispartof2023 ISMRM & ISMRT Annual Meeting & Exhibition (03/06/2023-08/06/2023, Toronto)-
dc.titleM4Raw: A Multi-Contrast Multi-Repetition Multi-Channel Raw K-Space Dataset For Low-Field MRI Reconstruction-
dc.typeConference_Paper-

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