Chen Xiao, Yang Yang, Cai Xiaoying, Auger Daniel A, Meyer Craig H, Salerno Michael, Epstein Frederick H
Medical Imaging Technologies, Siemens Medical Solutions, USA Inc., 755 College Rd E., Princeton, NJ, 08540, USA.
Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, 22908, USA.
J Cardiovasc Magn Reson. 2016 Jun 14;18(1):38. doi: 10.1186/s12968-016-0253-2.
Cine Displacement Encoding with Stimulated Echoes (DENSE) provides accurate quantitative imaging of cardiac mechanics with rapid displacement and strain analysis; however, image acquisition times are relatively long. Compressed sensing (CS) with parallel imaging (PI) can generally provide high-quality images recovered from data sampled below the Nyquist rate. The purposes of the present study were to develop CS-PI-accelerated acquisition and reconstruction methods for cine DENSE, to assess their accuracy for cardiac imaging using retrospective undersampling, and to demonstrate their feasibility for prospectively-accelerated 2D cine DENSE imaging in a single breathhold.
An accelerated cine DENSE sequence with variable-density spiral k-space sampling and golden angle rotations through time was implemented. A CS method, Block LOw-rank Sparsity with Motion-guidance (BLOSM), was combined with sensitivity encoding (SENSE) for the reconstruction of under-sampled multi-coil spiral data. Seven healthy volunteers and 7 patients underwent 2D cine DENSE imaging with fully-sampled acquisitions (14-26 heartbeats in duration) and with prospectively rate-2 and rate-4 accelerated acquisitions (14 and 8 heartbeats in duration). Retrospectively- and prospectively-accelerated data were reconstructed using BLOSM-SENSE and SENSE. Image quality of retrospectively-undersampled data was quantified using the relative root mean square error (rRMSE). Myocardial displacement and circumferential strain were computed for functional assessment, and linear correlation and Bland-Altman analyses were used to compare accelerated acquisitions to fully-sampled reference datasets.
For retrospectively-undersampled data, BLOSM-SENSE provided similar or lower rRMSE at rate-2 and lower rRMSE at rate-4 acceleration compared to SENSE (p < 0.05, ANOVA). Similarly, for retrospective undersampling, BLOSM-SENSE provided similar or better correlation with reference displacement and strain data at rate-2 and better correlation at rate-4 acceleration compared to SENSE. Bland-Altman analyses showed similar or better agreement for displacement and strain data at rate-2 and better agreement at rate-4 using BLOSM-SENSE compared to SENSE for retrospectively-undersampled data. Rate-2 and rate-4 prospectively-accelerated cine DENSE provided good image quality and expected values of displacement and strain.
BLOSM-SENSE-accelerated spiral cine DENSE imaging with 2D displacement encoding can be acquired in a single breathhold of 8-14 heartbeats with high image quality and accurate assessment of myocardial displacement and circumferential strain.
电影激发回波位移编码(DENSE)可通过快速位移和应变分析对心脏力学进行准确的定量成像;然而,图像采集时间相对较长。具有并行成像(PI)的压缩感知(CS)通常可以从低于奈奎斯特速率采样的数据中恢复高质量图像。本研究的目的是开发用于电影DENSE的CS-PI加速采集和重建方法,使用回顾性欠采样评估其在心脏成像中的准确性,并证明其在单次屏气中进行前瞻性加速二维电影DENSE成像的可行性。
实施了一种具有可变密度螺旋k空间采样和随时间的黄金角旋转的加速电影DENSE序列。一种CS方法,即带运动引导的块低秩稀疏性(BLOSM),与灵敏度编码(SENSE)相结合,用于重建欠采样的多线圈螺旋数据。7名健康志愿者和7名患者接受了二维电影DENSE成像,包括全采样采集(持续14 - 26个心跳)以及前瞻性2倍和4倍加速采集(分别持续14个和8个心跳)。回顾性和前瞻性加速数据使用BLOSM-SENSE和SENSE进行重建。使用相对均方根误差(rRMSE)对回顾性欠采样数据的图像质量进行量化。计算心肌位移和圆周应变以进行功能评估,并使用线性相关和Bland-Altman分析将加速采集与全采样参考数据集进行比较。
对于回顾性欠采样数据,与SENSE相比,BLOSM-SENSE在2倍加速时提供了相似或更低的rRMSE,在4倍加速时提供了更低的rRMSE(p < 0.05,方差分析)。同样,对于回顾性欠采样,与SENSE相比,BLOSM-SENSE在2倍加速时与参考位移和应变数据的相关性相似或更好,在4倍加速时相关性更好。Bland-Altman分析表明,对于回顾性欠采样数据,使用BLOSM-SENSE时,在2倍加速时位移和应变数据的一致性相似或更好,在4倍加速时一致性更好。2倍和4倍前瞻性加速的电影DENSE提供了良好的图像质量以及预期的位移和应变值。
采用BLOSM-SENSE加速的二维位移编码螺旋电影DENSE成像可在8 - 14个心跳的单次屏气中完成,具有高质量图像,并能准确评估心肌位移和圆周应变。