Hao You, Udupa Jayaram K, Tong Yubing, Wu Caiyun, McDonough Joseph M, Lott Carina, Clark Abigail, Anari Jason B, Cahill Patrick J, Torigian Drew A
Medical Image Processing Group, 602 Goddard building, 3710 Hamilton Walk, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, United States.
Center for Thoracic Insufficiency Syndrome, Children's Hospital of Philadelphia, Philadelphia, PA 19104, United States.
Proc SPIE Int Soc Opt Eng. 2022 Feb-Mar;12031. doi: 10.1117/12.2611951. Epub 2022 Apr 4.
Breathing-related movement analysis is important in the study of many disease processes. The analysis of diaphragmatic motion via thoracic imaging in particular is important in a variety of disorders. Compared to computed tomography (CT) and fluoroscopy, dynamic magnetic resonance imaging (dMRI) has several advantages, such as better soft tissue contrast, no ionizing radiation, and greater flexibility in selecting scanning planes. In this paper, we propose a novel method for full diaphragmatic motion analysis via free-breathing dMRI. Firstly, after 4D dMRI image construction in a cohort of 51 normal children, we manually delineated the diaphragm on sagittal plane dMRI images at end-inspiration and end-expiration. Then, 25 points were selected uniformly and homologously on each hemi-diaphragm surface. Based on the inferior-superior displacements of these 25 points between end-expiration (EE) and end-inspiration (EI) time points, we obtained their velocities. We then summarized 13 parameters from these velocities for each hemi-diaphragm to provide a quantitative regional analysis of diaphragmatic motion. We observed that the regional velocities of the right hemi-diaphragm were almost always statistically significantly greater than those of the left hemi-diaphragm in homologous locations. There was a significant difference for sagittal curvatures but not for coronal curvatures between the two hemi-diaphragms. Using this methodology, future larger scale prospective studies may be considered to confirm our findings in the normal state and to quantitatively assess regional diaphragmatic dysfunction when various disease conditions are present.
与呼吸相关的运动分析在许多疾病过程的研究中都很重要。特别是通过胸部成像对膈肌运动进行分析,在多种疾病中都具有重要意义。与计算机断层扫描(CT)和荧光透视法相比,动态磁共振成像(dMRI)具有若干优势,例如软组织对比度更好、无电离辐射以及在选择扫描平面方面具有更大的灵活性。在本文中,我们提出了一种通过自由呼吸dMRI进行全膈肌运动分析的新方法。首先,在51名正常儿童队列中构建4D dMRI图像后,我们在吸气末和呼气末的矢状面dMRI图像上手动勾勒出膈肌。然后,在每个半膈肌表面均匀且对应地选择25个点。基于这些25个点在呼气末(EE)和吸气末(EI)时间点之间的上下位移,我们获得了它们的速度。接着,我们从这些速度中为每个半膈肌总结了13个参数,以对膈肌运动进行定量区域分析。我们观察到,在对应位置,右半膈肌的区域速度几乎总是在统计学上显著大于左半膈肌。两个半膈肌之间在矢状曲率上存在显著差异,但在冠状曲率上不存在显著差异。使用这种方法,未来可能会考虑进行更大规模的前瞻性研究,以证实我们在正常状态下的发现,并在存在各种疾病情况时定量评估区域膈肌功能障碍。