3D Fusion Framework for Infarction and Angiogenesis Analysis in a Myocardial Infarct Minipig Model. (9th May 2017)

• Record Type: Journal Article
• Authors: Zhenzhen, Xu; Tao, Bo; Li, Yu; Zhang, Jun; Qu, Xiaochao; Cao, Feng; Liang, Jimin
• Is Part Of: Molecular imaging. Volume 16(2017)
• Publication Date: 2017-05-09
• Subjects: ischemic heart disease -- heart segmentation -- multimodality image fusion -- angiogenesis; Molecular diagnosis -- Periodicals; Diagnostic imaging -- Periodicals; Molecular biology -- Periodicals; Molecular diagnosis; Diagnostic imaging; Molecular biology; Periodicals; 616.075
• DOI: 10.1177/1536012117708735
• Languages: English
• ISSNs: 1535-3508

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-[ 18 F]fluoro-D-glucose ([ 18 F]DG) positron emission tomography (PET)/CT, and [ 68 Ga]-1, 4, 7-triazacyclononane-1, 4, 7-triacetic acid-(Arg-Gly-Asp)2 ([ 68 Ga]-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 [ 18 F]DG and [ 68 Ga]-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 [ 18 F]DG uptake defect as well as the location where the [ 68 Ga]-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.