Lingceng Ma , Qingjia Bao , Ricardo P. Martinho , Zhong Chen , Lucio Frydman
{"title":"Fast T1 mapping MRI in preclinical and clinical settings using subspace-constrained joint-domain reconstructions","authors":"Lingceng Ma , Qingjia Bao , Ricardo P. Martinho , Zhong Chen , Lucio Frydman","doi":"10.1016/j.mrl.2024.200134","DOIUrl":null,"url":null,"abstract":"<div><div>This work aims to develop fast <em>T</em><sub>1</sub> mapping methods for preclinical and clinical scanners based on subspace-constrained reconstructions. Two sequences are explored for rapid <em>T</em><sub>1</sub> characterizations: 1) Interleaved spatiotemporal encoding incorporating variable repetition times. 2) Inversion recovery gradient echo with random sampling of the phase-encoding (PE) dimension. For both sequences, the subspace reconstruction of the signal recovery was applied, to jointly reconstruct the down-sampled images while characterizing the <em>T</em><sub>1</sub> relaxation. <em>In vivo</em> scans on human brains and abdomens confirmed the efficiency of the proposed methods, including compatibility with breath-holding. In addition, Scans on animals with abdominal tumors and dynamic contrast-enhanced <em>T</em><sub>1</sub> mapping on kidneys support the applicability of the proposed methods also in preclinical settings.</div></div>","PeriodicalId":93594,"journal":{"name":"Magnetic Resonance Letters","volume":"4 4","pages":"Article 200134"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Magnetic Resonance Letters","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S277251622400041X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This work aims to develop fast T1 mapping methods for preclinical and clinical scanners based on subspace-constrained reconstructions. Two sequences are explored for rapid T1 characterizations: 1) Interleaved spatiotemporal encoding incorporating variable repetition times. 2) Inversion recovery gradient echo with random sampling of the phase-encoding (PE) dimension. For both sequences, the subspace reconstruction of the signal recovery was applied, to jointly reconstruct the down-sampled images while characterizing the T1 relaxation. In vivo scans on human brains and abdomens confirmed the efficiency of the proposed methods, including compatibility with breath-holding. In addition, Scans on animals with abdominal tumors and dynamic contrast-enhanced T1 mapping on kidneys support the applicability of the proposed methods also in preclinical settings.