Le Bars Anne-Lise, Moulin Kevin, Ennis Daniel B, Felblinger Jacques, Chen Bailiang, Odille Freddy
IADI, Inserm U1254, Université de Lorraine, 54000 Nancy, France.
Department of Radiology, Stanford University, Stanford, CA 94305, USA.
Diagnostics (Basel). 2022 Mar 31;12(4):877. doi: 10.3390/diagnostics12040877.
A super-resolution (SR) technique is proposed for imaging myocardial fiber architecture with cardiac magnetic resonance. Images were acquired with a motion-compensated cardiac diffusion tensor imaging (cDTI) sequence. The heart left ventricle was covered with three stacks of thick slices, in short axis, horizontal and vertical long axes orientations, respectively. The three low-resolution stacks (2 × 2 × 8 mm) were combined into an isotropic volume (2 × 2 × 2 mm) by a super-resolution reconstruction. For in vivo measurements, each slice was acquired during a breath-hold period. Bulk motion was corrected by optimizing a similarity metric between intensity profiles from all intersecting slices in the dataset. The benefit of the proposed approach was evaluated using a numerical heart phantom, a physical helicoidal phantom with artificial fibers, and six healthy subjects. The SR technique showed improved results compared to the native scans, in terms of image quality and cDTI metrics. In particular, the myocardial helix angle (HA) was more accurately estimated in the physical phantom (HA = 41.5° ± 1.1°, with the ground truth being 42.0°). In vivo, it resulted in a sharper rate of change of HA across the myocardial wall (-0.993°/% ± 0.007°/% against -0.873°/% ± 0.010°/%).
提出了一种超分辨率(SR)技术,用于通过心脏磁共振成像心肌纤维结构。使用运动补偿心脏扩散张量成像(cDTI)序列采集图像。心脏左心室分别用三堆叠厚切片覆盖,切片方向为短轴、水平长轴和垂直长轴。通过超分辨率重建将三个低分辨率堆叠(2×2×8毫米)合并为各向同性体积(2×2×2毫米)。对于体内测量,在屏气期间采集每个切片。通过优化数据集中所有相交切片的强度分布之间的相似性度量来校正整体运动。使用数值心脏模型、带有人工纤维的物理螺旋模型和六名健康受试者评估了所提出方法的益处。与原始扫描相比,SR技术在图像质量和cDTI指标方面显示出更好的结果。特别是,在物理模型中更准确地估计了心肌螺旋角(HA)(HA = 41.5°±1.1°,实际值为42.0°)。在体内,它导致心肌壁上HA的变化率更陡(-0.993°/%±0.007°/%,而原始值为-0.873°/%±0.010°/%)。