Kolb Christoph, Wetscherek Andreas, Buzan Maria Teodora, Werner René, Rank Christopher M, Kachelrie Marc, Kreuter Michael, Dinkel Julien, Heuel Claus Peter, Maier-Hein Klaus
From the *Junior Group Medical Image Computing and †Division of Medical Physics in Radiology, DKFZ, Heidelberg, Germany; ‡Joint Department of Physics at the Institute of Cancer Research and the Royal Marsden NHS Foundation Trust, London, United Kingdom; §Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at Heidelberg University, Heidelberg, Germany; ∥Department of Pneumology, luliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania; ¶Department of Diagnostic and of Interventional Radiology Heidelberg University, Heidelberg; #Department of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg; **Department of Pneumology and Respiratory Critical Care Medicine, Thoraxklinik at Heidelberg University Hospital; ††Translational Lung Research Center Heidelberg (TLRC-H), member of the German Center for Lung Research (DZL), Heidelberg; ‡‡Institute of Clinical Radiology, Munich; §§Comprehensive Pneumology Center Munich (CPC-M), member of the German Center for Lung Research (DZL); and ∥∥Division of Radiology, DKFZ, Heidelberg, Germany.
J Comput Assist Tomogr. 2016 Nov/Dec;40(6):899-906. doi: 10.1097/RCT.0000000000000450.
We propose a computer-aided method for regional ventilation analysis and observation of lung diseases in temporally resolved magnetic resonance imaging (4D MRI).
A shape model-based segmentation and registration workflow was used to create an atlas-derived reference system in which regional tissue motion can be quantified and multimodal image data can be compared regionally. Model-based temporal registration of the lung surfaces in 4D MRI data was compared with the registration of 4D computed tomography (CT) images. A ventilation analysis was performed on 4D MR images of patients with lung fibrosis; 4D MR ventilation maps were compared with corresponding diagnostic 3D CT images of the patients and 4D CT maps of subjects without impaired lung function (serving as reference).
Comparison between the computed patient-specific 4D MR regional ventilation maps and diagnostic CT images shows good correlation in conspicuous regions. Comparison to 4D CT-derived ventilation maps supports the plausibility of the 4D MR maps. Dynamic MRI-based flow-volume loops and spirograms further visualize the free-breathing behavior.
The proposed methods allow for 4D MR-based regional analysis of tissue dynamics and ventilation in spontaneous breathing and comparison of patient data. The proposed atlas-based reference coordinate system provides an automated manner of annotating and comparing multimodal lung image data.
我们提出一种计算机辅助方法，用于在时间分辨磁共振成像（4D MRI）中进行区域通气分析和肺部疾病观察。
使用基于形状模型的分割和配准工作流程来创建一个源自图谱的参考系统，在该系统中可以量化区域组织运动，并对多模态图像数据进行区域比较。将基于模型的4D MRI数据中肺表面的时间配准与4D计算机断层扫描（CT）图像的配准进行比较。对肺纤维化患者的4D MR图像进行通气分析；将4D MR通气图与患者相应的诊断性3D CT图像以及肺功能未受损受试者的4D CT图（作为参考）进行比较。
计算得到的患者特异性4D MR区域通气图与诊断性CT图像之间的比较显示，在明显区域具有良好的相关性。与源自4D CT的通气图进行比较支持了4D MR图的合理性。基于动态MRI的流量-容积环和肺量图进一步直观显示了自由呼吸行为。
所提出的方法允许对自主呼吸中的组织动力学和通气进行基于4D MR的区域分析，并对患者数据进行比较。所提出的基于图谱的参考坐标系提供了一种自动标注和比较多模态肺部图像数据的方式。
