3D Fusion Framework for Infarction and Angiogenesis Analysis in a Myocardial Infarct Minipig Model.

IF 2.2 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Molecular Imaging Pub Date : 2017-01-01 DOI:10.1177/1536012117708735
Xu Zhenzhen, Bo Tao, Yu Li, Jun Zhang, Xiaochao Qu, Feng Cao, Jimin Liang
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引用次数: 7

Abstract

The combination of different modality images can provide detailed and comprehensive information for the prognostic assessment and therapeutic strategy of patients with ischemic heart disease. In this study, a 3D fusion framework is designed to integrate coronary computed tomography (CT) angiography (CTA), 2-deoxy-2-[18F]fluoro-D-glucose ([18F]DG) positron emission tomography (PET)/CT, and [68Ga]-1,4,7-triazacyclononane-1,4,7-triacetic acid-(Arg-Gly-Asp)2 ([68Ga]-NOTA-PRGD2) PET/CT images of the myocardial infarction model in minipigs. First, the structural anatomy of the heart in coronary CTA and CT is segmented using a multi-atlas-based method. Then, the hearts are registered using the B-spline-based free form deformation. Finally, the [18F]DG and [68Ga]-NOTA-PRGD2 signals are mapped into the heart in coronary CTA, which produces a single fusion image to delineate both the cardiac structural anatomy and the functional information of myocardial viability and angiogenesis. Heart segmentation demonstrates high accuracy with good agreement between manual delineation and automatic segmentation. The fusion result intuitively reflects the extent of the [18F]DG uptake defect as well as the location where the [68Ga]-NOTA-PRGD2 signal appears. The fusion result verified the occurrence of angiogenesis based on the in vivo noninvasive molecular imaging approach. The presented framework is helpful in facilitating the study of the relationship between infarct territories and blocked coronary arteries as well as angiogenesis.

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迷你猪心肌梗死模型的三维融合框架和血管生成分析。
不同模态图像的结合可以为缺血性心脏病患者的预后评估和治疗策略提供详细、全面的信息。本研究设计了一个三维融合框架,将小型猪心肌梗死模型的冠状动脉计算机断层扫描(CT)血管造影(CTA)、2-脱氧-2-[18F]氟-d -葡萄糖([18F]DG)正电子发射断层扫描(PET)/CT和[68Ga]-1,4,7-三氮杂环壬烷-1,4,7-三乙酸-(arg - gys - asp)2 ([68Ga]- nota - prgd2) PET/CT图像整合在一起。首先,使用基于多图谱的方法对冠状动脉CTA和CT中的心脏结构解剖进行分割。然后,使用基于b样条的自由变形对心脏进行注册。最后,通过冠状动脉CTA将[18F]DG和[68Ga]-NOTA-PRGD2信号映射到心脏,生成单一融合图像,既描绘心脏结构解剖,又描绘心肌活力和血管生成的功能信息。心脏分割具有较高的准确率,人工分割与自动分割的一致性较好。融合结果直观地反映了[18F]DG摄取缺陷的程度以及[68Ga]-NOTA-PRGD2信号出现的位置。融合结果证实了基于体内无创分子成像方法的血管生成的发生。所提出的框架有助于促进梗死区域和冠状动脉阻塞以及血管生成之间关系的研究。
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来源期刊
Molecular Imaging
Molecular Imaging Biochemistry, Genetics and Molecular Biology-Biotechnology
自引率
3.60%
发文量
21
期刊介绍: Molecular Imaging is a peer-reviewed, open access journal highlighting the breadth of molecular imaging research from basic science to preclinical studies to human applications. This serves both the scientific and clinical communities by disseminating novel results and concepts relevant to the biological study of normal and disease processes in both basic and translational studies ranging from mice to humans.
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