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用于动态肝脏磁共振成像的自由呼吸径向采集的呼吸运动分辨压缩感知重建

Respiratory Motion-Resolved Compressed Sensing Reconstruction of Free-Breathing Radial Acquisition for Dynamic Liver Magnetic Resonance Imaging.

作者信息

Chandarana Hersh, Feng Li, Ream Justin, Wang Annie, Babb James S, Block Kai Tobias, Sodickson Daniel K, Otazo Ricardo

机构信息

From the *Center for Advanced Imaging Innovation and Research (CAI2R); and †Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY.

出版信息

Invest Radiol. 2015 Nov;50(11):749-56. doi: 10.1097/RLI.0000000000000179.

Abstract

OBJECTIVE

This study aimed to demonstrate feasibility of free-breathing radial acquisition with respiratory motion-resolved compressed sensing reconstruction [extra-dimensional golden-angle radial sparse parallel imaging (XD-GRASP)] for multiphase dynamic gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced liver imaging, and to compare image quality to compressed sensing reconstruction with respiratory motion-averaging (GRASP) and prior conventional breath-held Cartesian-sampled data sets [BH volume interpolated breath-hold examination (VIBE)] in same patients.

SUBJECTS AND METHODS

In this Health Insurance Portability and Accountability Act-compliant prospective study, 16 subjects underwent free-breathing continuous radial acquisition during Gd-EOB-DTPA injection and had prior BH-VIBE available. Acquired data were reconstructed using motion-averaging GRASP approach in which consecutive 84 spokes were grouped in each contrast-enhanced phase for a temporal resolution of approximately 14 seconds. Additionally, respiratory motion-resolved reconstruction was performed from the same k-space data by sorting each contrast-enhanced phase into multiple respiratory motion states using compressed sensing algorithm named XD-GRASP, which exploits sparsity along both the contrast-enhancement and respiratory-state dimensions.Contrast-enhanced dynamic multiphase XD-GRASP, GRASP, and BH-VIBE images were anonymized, pooled together in a random order, and presented to 2 board-certified radiologists for independent evaluation of image quality, with higher score indicating more optimal examination.

RESULTS

The XD-GRASP reconstructions had significantly (all P < 0.05) higher overall image quality scores compared to GRASP for early arterial (reader 1: 4.3 ± 0.6 vs 3.31 ± 0.6; reader 2: 3.81 ± 0.8 vs 3.38 ± 0.9) and late arterial (reader 1: 4.5 ± 0.6 vs 3.63 ± 0.6; reader 2: 3.56 ± 0.5 vs 2.88 ± 0.7) phases of enhancement for both readers. The XD-GRASP also had higher overall image quality score in portal venous phase, which was significant for reader 1 (4.44 ± 0.5 vs 3.75 ± 0.8; P = 0.002). In addition, the XD-GRASP had higher overall image quality score compared to BH-VIBE for early (reader 1: 4.3 ± 0.6 vs 3.88 ± 0.6; reader 2: 3.81 ± 0.8 vs 3.50 ± 1.0) and late (reader 1: 4.5 ± 0.6 vs 3.44 ± 0.6; reader 2: 3.56 ± 0.5 vs 2.94 ± 0.9) arterial phases.

CONCLUSION

Free-breathing motion-resolved XD-GRASP reconstructions provide diagnostic high-quality multiphase images in patients undergoing Gd-EOB-DTPA-enhanced liver examination.

摘要

目的

本研究旨在证明自由呼吸下径向采集联合呼吸运动分辨压缩感知重建[超维金角径向稀疏并行成像(XD-GRASP)]用于多期动态钆塞酸二钠(Gd-EOB-DTPA)增强肝脏成像的可行性,并在同一患者中将图像质量与呼吸运动平均压缩感知重建(GRASP)以及先前的传统屏气笛卡尔采样数据集[屏气容积内插屏气检查(VIBE)]进行比较。

受试者与方法

在这项符合健康保险流通与责任法案的前瞻性研究中,16名受试者在注射Gd-EOB-DTPA期间进行了自由呼吸连续径向采集,且之前有屏气VIBE数据。采集的数据使用运动平均GRASP方法进行重建,在每个对比增强期将连续的84条辐条分组,时间分辨率约为14秒。此外,通过使用名为XD-GRASP的压缩感知算法将每个对比增强期分类为多个呼吸运动状态,从相同的k空间数据进行呼吸运动分辨重建,该算法利用了对比增强维和呼吸状态维的稀疏性。对比增强动态多期XD-GRASP、GRASP和BH-VIBE图像进行匿名处理,以随机顺序汇总在一起,并呈递给2名具有委员会认证的放射科医生进行图像质量的独立评估,分数越高表明检查越理想。

结果

与GRASP相比,XD-GRASP重建在早期动脉期(读者1:4.3±0.6对3.31±0.6;读者2:3.81±0.8对3.38±0.9)和晚期动脉期(读者1:4.5±0.6对3.63±0.6;读者2:3.56±0.5对2.88±0.7)的整体图像质量得分均显著更高(所有P<0.05)。对于两名读者,XD-GRASP在门静脉期的整体图像质量得分也更高,对读者1而言具有显著性差异(4.44±0.5对3.75±0.8;P=0.002)。此外,与BH-VIBE相比,XD-GRASP在早期(读者1:4.3±0.6对3.88±0.6;读者2:3.81±0.8对3.50±1.0)和晚期(读者1:4.5±0.6对3.44±0.6;读者2:3.56±0.5对2.94±0.9)动脉期的整体图像质量得分更高。

结论

自由呼吸运动分辨的XD-GRASP重建可为接受Gd-EOB-DTPA增强肝脏检查的患者提供诊断性高质量多期图像。

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