Motion-compensated low-rank reconstruction for simultaneous structural and functional UTE lung MRI.
Motion-compensated low-rank reconstruction for simultaneous structural and functional UTE lung MRI.
复制标题
用于同步结构和功能 UTE 肺 MRI 的运动补偿低阶重建。
DOI：
10.1002/mrm.29703
复制
发表时间：
2023
影响因子：
3.3
通讯作者：
Larson,PederEZ
中科院分区：
文献类型：
--
作者：
Tan,Fei;Zhu,Xucheng;Chan,Marilynn;Zapala,MatthewA;Vasanawala,ShreyasS;Ong,Frank;Lustig,Michael;Larson,PederEZ
目的三维超声心动图（UTE）MRI能够同时提供肺的结构和功能成像，但受限于呼吸运动和相对较低的肺实质SNR。本文的目的是通过使用呼吸相位分辨重建方法（称为运动补偿低秩重建（MoCoLoR））来改善这种成像，理论和方法MoCoLoR重建被公式化为优化问题，其包括使用估计的运动场来减少的低秩约束，在运动场和重建图像两者上优化的秩。将拟定重建沿着XD和运动状态加权运动补偿（MostMoCo）方法应用于18例儿童和年轻成人患者的肺部MRI扫描。数据集是在自由呼吸和无镇静的情况下在大约5分钟内使用3D径向UTE序列采集的。重建后，他们进行了通风分析。结果体内实验结果表明，MoCoLoR有效地利用了数据，与最先进的XD重建和MostMoCo重建相比，提供了更高的表观SNR，并产生了高质量的呼吸相位分辨图像用于通气标测。该方法在扫描的患者范围内是有效的。ConclusionThe motion compensated low-rank regularized reconstruction approach有效地利用了采集的数据，可以改善3D-UTE MRI的同步结构和功能肺成像。它可以在自由呼吸且无需镇静的情况下对儿科患者进行扫描。
PurposeThree‐dimensional UTE MRI has shown the ability to provide simultaneous structural and functional lung imaging, but it is limited by respiratory motion and relatively low lung parenchyma SNR. The purpose of this paper is to improve this imaging by using a respiratory phase‐resolved reconstruction approach, named motion‐compensated low‐rank reconstruction (MoCoLoR), which directly incorporates motion compensation into a low‐rank constrained reconstruction model for highly efficient use of the acquired data.Theory and MethodsThe MoCoLoR reconstruction is formulated as an optimization problem that includes a low‐rank constraint using estimated motion fields to reduce the rank, optimizing over both the motion fields and reconstructed images. The proposed reconstruction along with XD and motion state–weighted motion‐compensation (MostMoCo) methods were applied to 18 lung MRI scans of pediatric and young adult patients. The data sets were acquired under free‐breathing and without sedation with 3D radial UTE sequences in approximately 5 min. After reconstruction, they went through ventilation analyses. Performance across reconstruction regularization and motion‐state parameters were also investigated.ResultsThe in vivo experiments results showed that MoCoLoR made efficient use of the data, provided higher apparent SNR compared with state‐of‐the‐art XD reconstruction and MostMoCo reconstructions, and yielded high‐quality respiratory phase‐resolved images for ventilation mapping. The method was effective across the range of patients scanned.ConclusionThe motion‐compensated low‐rank regularized reconstruction approach makes efficient use of acquired data and can improve simultaneous structural and functional lung imaging with 3D‐UTE MRI. It enables the scanning of pediatric patients under free‐breathing and without sedation.