A framework of whole heart extracellular volume fraction estimation for low-dose cardiac CT images.

Xinjian Chen, Marcelo S Nacif, Songtao Liu, Christopher Sibley, Ronald M Summers, David A Bluemke, Jianhua Yao
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引用次数: 0

Abstract

Cardiac CT (CCT) is widely available and has been validated for the detection of focal myocardial scar using a delayed enhancement technique in this paper. CCT, however, has not been previously evaluated for quantification of diffuse myocardial fibrosis. In our investigation, we sought to evaluate the potential of low-dose CCT for the measurement of myocardial whole heart extracellular volume (ECV) fraction. ECV is altered under conditions of increased myocardial fibrosis. A framework consisting of three main steps was proposed for CCT whole heart ECV estimation. First, a shape-constrained graph cut (GC) method was proposed for myocardium and blood pool segmentation on postcontrast image. Second, the symmetric demons deformable registration method was applied to register precontrast to postcontrast images. So the correspondences between the voxels from precontrast to postcontrast images were established. Finally, the whole heart ECV value was computed. The proposed method was tested on 20 clinical low-dose CCT datasets with precontrast and postcontrast images. The preliminary results demonstrated the feasibility and efficiency of the proposed method.

低剂量心脏 CT 图像的全心细胞外体积分数估算框架。
心脏计算机断层扫描(CCT)可广泛使用,本文已对使用延迟增强技术检测局灶性心肌瘢痕进行了验证。然而,CCT 此前尚未用于评估弥漫性心肌纤维化的量化。在我们的研究中,我们试图评估低剂量 CCT 测量心肌全心细胞外容积(ECV)分数的潜力。在心肌纤维化加重的情况下,ECV 会发生改变。我们提出了一个由三个主要步骤组成的 CCT 全心ECV估算框架。首先,提出了一种形状受限图切割(GC)方法,用于在对比后图像上分割心肌和血池。其次,应用对称恶魔可变形配准方法将对比前图像配准到对比后图像。因此,对比前图像和对比后图像的体素之间建立了对应关系。最后,计算出整个心脏的 ECV 值。该方法在 20 个临床低剂量 CCT 数据集(包括对比前和对比后图像)上进行了测试。初步结果表明了所提方法的可行性和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Information Technology in Biomedicine
IEEE Transactions on Information Technology in Biomedicine 工程技术-计算机:跨学科应用
自引率
0.00%
发文量
1
审稿时长
4.8 months
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