Segmentation of left ventricle in late gadolinium enhanced MRI through 2D-4D registration for infarct localization in 3D patient-specific left ventricular model

Segmentation of left ventricle in late gadolinium enhanced MRI through 2D-4D registration for infarct localization in 3D patient-specific left ventricular model
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DOI:
10.1002/mrm.27486
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发表时间:
2019-02-01
影响因子:
3.3
通讯作者:
Liew, Yih Miin
Liew, Yih Miin
中科院分区:
医学3区
文献类型:
--
作者:
Leong, Chen Onn;Lim, Einly;Liew, Yih Miin

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目的:评价2D-4D配准-分割框架在晚期钆增强(LGE)MRI左心室(LV)勾画和患者特异性3D LV模型梗死定位中的应用。方法:提出一个3步框架,包括:(1)运动校正4Dcine-MRI重建3D LV模型;(2)2DLGE-MRI与4Dcine-MRI配准;(3)从LGE切片与LV模型的相交处提取LV轮廓。根据27例急性心肌梗死后6个月内扫描的心脏MRI数据对该框架进行了评估。我们比较了使用本地皮尔逊相关性(LPC)和归一化互信息(NMI)的相似性措施的注册。还比较了2次和6次长轴(LA)电影MRI扫描的使用。使用手动分割评估框架的准确性,使用Bland-Altman分析确定从分割的LV导出的瘢痕体积的观察者间变异性。结果:LPC优于NMI作为使用6个LA扫描的所提出的框架的相似性度量,Hausdorrf距离(HD)分别为1.19 +/- 0.53 mm与1.51 +/- 2.01 mm(心内膜)和1.21 +/- 0.48 mm与1.46 +/- 1.78 mm(心外膜)。使用2次LA扫描的分割与6次LA扫描相当,HD为1.23 +/- 0.70 mm(心内膜)和1.25 +/- 0.74 mm(心外膜)。该框架产生了较低的观察者之间的变异性瘢痕体积相比,手动segmentation.Conclusion:该框架显示了高精度和鲁棒性描绘LV在LGE-MRI,并允许双向映射LGE和电影MRI扫描之间的信息,治疗计划的个性化模型研究中至关重要。
Purpose: To evaluate a 2D-4D registration-cum-segmentation framework for the delineation of left ventricle (LV) in late gadolinium enhanced (LGE) MRI and for the localization of infarcts in patient-specific 3D LV models.Methods: A 3-step framework was proposed, consisting of: (1) 3D LV model reconstruction from motion-corrected 4D cine-MRI; (2) Registration of 2D LGE-MRI with 4D cine-MRI; (3) LV contour extraction from the intersection of LGE slices with the LV model. The framework was evaluated against cardiac MRI data from 27 patients scanned within 6 months after acute myocardial infarction. We compared the use of local Pearson's correlation (LPC) and normalized mutual information (NMI) as similarity measures for the registration. The use of 2 and 6 long-axis (LA) cine-MRI scans was also compared. The accuracy of the framework was evaluated using manual segmentation, and the interobserver variability of the scar volume derived from the segmented LV was determined using Bland-Altman analysis.Results: LPC outperformed NMI as a similarity measure for the proposed framework using 6 LA scans, with Hausdorrf distance (HD) of 1.19 +/- 0.53 mm versus 1.51 +/- 2.01 mm (endocardial) and 1.21 +/- 0.48 mm versus 1.46 +/- 1.78 mm (epicardial), respectively. Segmentation using 2 LA scans was comparable to 6 LA scans with a HD of 1.23 +/- 0.70 mm (endocardial) and 1.25 +/- 0.74 mm (epicardial). The framework yielded a lower interobserver variability in scar volumes compared with manual segmentation.Conclusion: The framework showed high accuracy and robustness in delineating LV in LGE-MRI and allowed for bvidirectional mapping of information between LGE-and cine-MRI scans, crucial in personalized model studies for treatment planning.