Liu Yuchi, Hamilton Jesse, Jiang Yun, Seiberlich Nicole
Department of Radiology, University of Michigan, Ann Arbor, MI, United States.
Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States.
Front Cardiovasc Med. 2022 Sep 20;9:977603. doi: 10.3389/fcvm.2022.977603. eCollection 2022.
The goal of this work is to extend prior work on cardiac MR Fingerprinting (cMRF) using rosette k-space trajectories to enable simultaneous T, T, and proton density fat fraction (PDFF) mapping in the heart. A rosette trajectory designed for water-fat separation at 1.5T was used in a 2D ECG-triggered 15-heartbeat cMRF sequence. Water and fat specific T and T maps were generated from the cMRF data. A PDFF map was also retrieved using Hierarchical IDEAL by segmenting the rosette cMRF data into multiple echoes. The accuracy of rosette cMRF in T, T, and PDFF quantification was validated in the ISMRM/NIST phantom and an in-house built fat fraction phantom, respectively. The proposed method was also applied for myocardial tissue mapping of healthy subjects and cardiac patients at 1.5T. T, T, and PDFF values measured using rosette cMRF in the ISMRM/NIST phantom and the fat fraction phantom agreed well with the reference values. In 16 healthy subjects, rosette cMRF yielded T values which were 80~90 ms higher than spiral cMRF and MOLLI. T values obtained using rosette cMRF were ~3 ms higher than spiral cMRF and ~5 ms lower than conventional T-prep bSSFP method. Rosette cMRF was also able to detect abnormal T and T values in cardiomyopathy patients and may provide more accurate maps due to effective fat suppression. In conclusion, this study shows that rosette cMRF has the potential for efficient cardiac tissue characterization through simultaneous quantification of myocardial T, T, and PDFF.
这项工作的目标是扩展先前关于使用玫瑰花结 k 空间轨迹的心脏磁共振指纹图谱(cMRF)的研究,以实现心脏中 T1、T2 和质子密度脂肪分数(PDFF)的同时映射。在二维心电图触发的 15 心跳 cMRF 序列中使用了为 1.5T 水脂分离设计的玫瑰花结轨迹。从 cMRF 数据生成水和脂肪特异性的 T1 和 T2 图谱。还通过将玫瑰花结 cMRF 数据分割成多个回波,使用分层 IDEAL 检索了 PDFF 图谱。分别在 ISMRM/NIST 体模和内部构建的脂肪分数体模中验证了玫瑰花结 cMRF 在 T1、T2 和 PDFF 量化方面的准确性。所提出的方法也应用于 1.5T 下健康受试者和心脏病患者的心肌组织映射。在 ISMRM/NIST 体模和脂肪分数体模中,使用玫瑰花结 cMRF 测量的 T1、T2 和 PDFF 值与参考值吻合良好。在 16 名健康受试者中,玫瑰花结 cMRF 产生的 T1 值比螺旋 cMRF 和 MOLLI 高 80~90 毫秒。使用玫瑰花结 cMRF 获得的 T2 值比螺旋 cMRF 高约 3 毫秒,比传统 T 准备 bSSFP 方法低约 5 毫秒。玫瑰花结 cMRF 还能够检测心肌病患者异常的 T1 和 T2 值,并且由于有效的脂肪抑制可能提供更准确的图谱。总之,本研究表明,玫瑰花结 cMRF 通过同时量化心肌 T1、T2 和 PDFF,具有高效心脏组织表征的潜力。