Investigating Cardiac Motion Patterns Using Synthetic High-Resolution 3D Cardiovascular Magnetic Resonance Images and Statistical Shape Analysis.
Investigating Cardiac Motion Patterns Using Synthetic High-Resolution 3D Cardiovascular Magnetic Resonance Images and Statistical Shape Analysis.
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DOI：
10.3389/fped.2017.00034
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发表时间：
2017
影响因子：
2.6
通讯作者：
Schievano S
中科院分区：
文献类型：
--
作者：
Biffi B;Bruse JL;Zuluaga MA;Ntsinjana HN;Taylor AM;Schievano S
先天性心脏病心室功能障碍的诊断越来越多地依赖于医学影像学，它允许研究异常的心脏形态和相关的功能异常。虽然2D图像的分析代表了临床标准，但执行3D图像自动处理的新工具正在变得可用，提供比简单的2D形态测量更详细和全面的信息。其中，统计形状分析（SSA）允许对复杂形状的群体进行一致和定量的描述，作为检测新生物标志物的一种方式，最终提高诊断和病理学理解。本研究的目的是描述SSA方法的实施，用于研究3D左心室形状和运动模式，并在4例先天性修复主动脉瓣狭窄患者和4例年龄匹配的健康志愿者的小样本上进行测试，以证明其潜力。该方法的优点是能够从视觉上和定量上分别从个体形态学分析受试者特定的运动模式，作为识别与动力学和形状相关的功能异常的一种方式。具体来说，我们结合了三维，高分辨率的整个心脏数据与2D，电影心血管磁共振图像提供的时间信息，我们使用SSA的方法来分析3D运动本身。该初步研究的初步结果表明，使用该方法，可以捕获舒张末期和收缩末期心室形状的一些差异，但仅基于形状信息无法明确区分两个队列。然而，对心室运动的进一步分析可以定性识别两个人群之间的差异。此外，通过用少量的主成分描述形状和运动，该方法提供了一个完全自动化的过程，以获得关于心脏形状和运动的视觉直观和数值信息，一旦在较大的样本量上验证，就可以很容易地集成到临床工作流程中。总而言之，在这项初步工作中，我们实施了最先进的自动分割和SSA方法，并且我们已经展示了它们如何通过视觉和潜在的定量突出显示通常不会被发现的方面来提高我们对心室动力学的理解。传统方法。
Diagnosis of ventricular dysfunction in congenital heart disease is more and more based on medical imaging, which allows investigation of abnormal cardiac morphology and correlated abnormal function. Although analysis of 2D images represents the clinical standard, novel tools performing automatic processing of 3D images are becoming available, providing more detailed and comprehensive information than simple 2D morphometry. Among these, statistical shape analysis (SSA) allows a consistent and quantitative description of a population of complex shapes, as a way to detect novel biomarkers, ultimately improving diagnosis and pathology understanding. The aim of this study is to describe the implementation of a SSA method for the investigation of 3D left ventricular shape and motion patterns and to test it on a small sample of 4 congenital repaired aortic stenosis patients and 4 age-matched healthy volunteers to demonstrate its potential. The advantage of this method is the capability of analyzing subject-specific motion patterns separately from the individual morphology, visually and quantitatively, as a way to identify functional abnormalities related to both dynamics and shape. Specifically, we combined 3D, high-resolution whole heart data with 2D, temporal information provided by cine cardiovascular magnetic resonance images, and we used an SSA approach to analyze 3D motion per se. Preliminary results of this pilot study showed that using this method, some differences in end-diastolic and end-systolic ventricular shapes could be captured, but it was not possible to clearly separate the two cohorts based on shape information alone. However, further analyses on ventricular motion allowed to qualitatively identify differences between the two populations. Moreover, by describing shape and motion with a small number of principal components, this method offers a fully automated process to obtain visually intuitive and numerical information on cardiac shape and motion, which could be, once validated on a larger sample size, easily integrated into the clinical workflow. To conclude, in this preliminary work, we have implemented state-of-the-art automatic segmentation and SSA methods, and we have shown how they could improve our understanding of ventricular kinetics by visually and potentially quantitatively highlighting aspects that are usually not picked up by traditional approaches.