Wang Yajie, Qi Haikun, Wang Yishi, Xiao Ming, Xiang Canhong, Dong Jiahong, Chen Huijun
Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
School of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
Quant Imaging Med Surg. 2023 Feb 1;13(2):912-923. doi: 10.21037/qims-22-748. Epub 2023 Jan 3.
Conventional liver T1 mapping techniques are typically performed under breath-holding conditions; they have limited slice coverage and often rely on multiple acquisitions. Furthermore, liver fat affects the accuracy of T1 quantification. Therefore, we aim to propose a free-breathing technique for simultaneous water-fat separation and T1 mapping of the whole liver (SWALI) in a single scan.
The proposed SWALI sequence included an inversion recovery (IR) preparation pulse followed by a series of multiecho three-dimensional (3D) golden-angle radial acquisitions. For each echo time (TE), a series of images containing a mix of water and fat were reconstructed using a sliding window method. For each inversion time (TI), water and fat were separated, and then water and fat T1 estimation was conducted. The fat fraction (FF) was calculated based on the last TI image. The FF and water T1 quantification accuracy were compared with the gold standard sequences in the phantom. The feasibility was tested in 9 healthy volunteers, 2 patients with fatty liver, and 3 patients with hepatocellular carcinoma (HCC). The reproducibility was evaluated in the patients with fatty liver and in the healthy volunteers.
The mean FF and the mean water T1 values obtained by the SWALI sequence showed good agreements with chemical shift-encoded magnetic resonance imaging (CSE-MRI; r=0.998; P<0.001) and fat-suppressed (FS) IR-spin echo (SE; r=0.997; P<0.001) in the phantom. For the patients with fatty liver and the healthy volunteers, the SWALI sequence showed no significant difference with CSE-MRI in FF quantification (P=0.53). In T1 quantification, comparable T1 values were obtained with the SWALI sequence and modified Look-Locker inversion recovery (MOLLI; P=0.10) in healthy volunteers, while the water T1 estimated by the SWALI sequence was significantly lower than the water-fat compound T1 estimated by MOLLI (P<0.001) in patients with fatty liver. In the reproducibility study, the intraclass correlation coefficients (ICCs) for the estimated FF and water T1 were 0.997 and 0.943, respectively. Water T1 of the patients with HCC calculated using the SWALI sequence showed a significant reduction after the contrast administration (P<0.001).
Free-breathing water-fat separation and T1 mapping of the whole liver with 2.5 mm isotropic spatial resolution were achieved simultaneously using the SWALI sequence in a 5-min scan.
传统的肝脏T1映射技术通常在屏气条件下进行;它们的层面覆盖范围有限,且常常依赖多次采集。此外,肝脏脂肪会影响T1定量的准确性。因此,我们旨在提出一种自由呼吸技术,可在单次扫描中对全肝进行水脂分离和T1映射(SWALI)。
所提出的SWALI序列包括一个反转恢复(IR)准备脉冲,随后是一系列多回波三维(3D)黄金角径向采集。对于每个回波时间(TE),使用滑动窗口方法重建一系列包含水和脂肪混合的图像。对于每个反转时间(TI),进行水和脂肪的分离,然后进行水和脂肪的T1估计。基于最后一幅TI图像计算脂肪分数(FF)。将FF和水T1定量的准确性与体模中的金标准序列进行比较。在9名健康志愿者、2名脂肪肝患者和3名肝细胞癌(HCC)患者中测试了其可行性。在脂肪肝患者和健康志愿者中评估了其可重复性。
SWALI序列获得的平均FF和平均水T1值与化学位移编码磁共振成像(CSE-MRI;r = 0.998;P < 0.001)和脂肪抑制(FS)IR自旋回波(SE;r = 0.997;P < 0.001)在体模中显示出良好的一致性。对于脂肪肝患者和健康志愿者,SWALI序列在FF定量方面与CSE-MRI无显著差异(P = 0.53)。在T1定量方面,健康志愿者中SWALI序列获得的T1值与改良Look-Locker反转恢复(MOLLI;P = 0.10)相当,而在脂肪肝患者中,SWALI序列估计的水T1显著低于MOLLI估计的水脂化合物T1(P < 0.001)。在可重复性研究中,估计的FF和水T1的组内相关系数(ICC)分别为0.997和0.943。使用SWALI序列计算的HCC患者的水T1在注射造影剂后显著降低(P < 0.001)。
使用SWALI序列在5分钟扫描中同时实现了具有2.5毫米各向同性空间分辨率的全肝自由呼吸水脂分离和T1映射。