Mukherjee Tanmay, Keshavarzian Maziyar, Fugate Elizabeth M, Naeini Vahid, Darwish Amr, Ohayon Jacques, Myers Kyle J, Shah Dipan J, Lindquist Diana, Sadayappan Sakthivel, Pettigrew Roderic I, Avazmohammadi Reza
Department of Biomedical Engineering, Texas A&M University, College Station, TX, 77843, USA.
Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA.
Sci Rep. 2025 Aug 13;15(1):29696. doi: 10.1038/s41598-025-11766-5.
Structural indices of cardiac diseases estimated via cardiac magnetic resonance imaging (CMR) have shown promise as early-stage markers. Despite the growing popularity of CMR-based myocardial strain calculations, measures of complete spatiotemporal strains (i.e., three-dimensional strains over the cardiac cycle) remain elusive, especially in mice. The high metabolic rates and rapid cardiac motion affect high-resolution imaging, thus compromising strain accuracy. We hypothesize that a super-resolution reconstruction (SRR) framework that combines low-resolution scans at multiple orientations will enhance the reliability of complete spatiotemporal strains in mice.
Multi-view cine CMR comprising short- and long-axis (SA and LA) fast low angle shot scans were obtained in a cohort of wild-type-mice (n = 5) and a diabetic mouse (n = 1). The "SRR in CMR" approach, consisting of tissue-class -specific scattered data interpolation, was used to generate full four-dimensional (4D) images of high spatial resolution. Image registration using the diffeomorphic demons algorithm was applied to quantify complete spatiotemporal motion in terms of 4D myocardial strains. The effects of SRR on CMR quality were verified in all mice through image metrics, namely, root mean squared error (MSE) and structural similarity index. Strain calculations were validated against an in silico heart model phantom through MSE analysis, followed by investigations of strain accuracy and reproducibility for all mice using MSE and coefficient of variation analyses. Results: SRR-derived strains were validated against a kinematic benchmark established through the in-silico heart model phantom. Improvements in global strain accuracy were confirmed in both in-plane (radial and circumferential) and through-plane (longitudinal) strains. Mouse-specific SRR provided near isotropic spatial resolution, high structural similarity, and minimal loss of contrast, which led to overall improvements in strain reproducibility and intra-cohort homogeneity in wild-type mice, with global longitudinal strain lying of ≈-14%.
A comprehensive methodology was presented to quantify complete and reproducible myocardial deformation, aiding in the much-needed standardization of complete spatiotemporal strain analysis in small animals.
通过心脏磁共振成像(CMR)评估的心脏疾病结构指标已显示出作为早期标志物的潜力。尽管基于CMR的心肌应变计算越来越受欢迎,但完整的时空应变测量(即心动周期内的三维应变)仍然难以实现,尤其是在小鼠中。高代谢率和快速的心脏运动影响高分辨率成像,从而损害应变准确性。我们假设,一个结合多个方向低分辨率扫描的超分辨率重建(SRR)框架将提高小鼠完整时空应变的可靠性。
在一组野生型小鼠(n = 5)和一只糖尿病小鼠(n = 1)中获得了包括短轴和长轴(SA和LA)快速低角度拍摄扫描的多视图电影CMR。采用“CMR中的SRR”方法,包括组织类别特定的散乱数据插值,以生成高空间分辨率的完整四维(4D)图像。使用微分同胚 demons 算法进行图像配准,以根据4D心肌应变量化完整的时空运动。通过图像指标,即均方根误差(MSE)和结构相似性指数,在所有小鼠中验证了SRR对CMR质量的影响。通过MSE分析对计算机心脏模型体模进行应变计算验证,随后使用MSE和变异系数分析对所有小鼠的应变准确性和可重复性进行研究。结果:SRR衍生的应变通过计算机心脏模型体模建立的运动学基准进行了验证。在平面内(径向和圆周)和平面外(纵向)应变中均证实了整体应变准确性的提高。小鼠特异性SRR提供了接近各向同性的空间分辨率、高结构相似性和最小的对比度损失,这导致野生型小鼠的应变可重复性和组内同质性总体提高,整体纵向应变约为-14%。
提出了一种综合方法来量化完整且可重复的心肌变形,有助于实现急需的小动物完整时空应变分析的标准化。