Scaffolding-based segmentation of coronary vascular structures

D. Bartz, S. Lakare
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引用次数: 7

Abstract

The coronary arteries are essential for the proper function of the human heart. However, they are generally difficult to segment in volume datasets separately from the other blood-filled cavities of the heart. The major reason for these difficulties is the lack of sufficient spatial resolution and partial volume effects. In this paper, we present a method to mark the coronary arteries by a virtual endoscopic traversal. Virtual endoscopy enables a significantly easier visual identification of the blood vessels in comparison to outside views or slice-by-slice examination methods. Furthermore, we use this marking as a scaffold for the actual segmentation of the coronary arteries.
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基于支架的冠状血管结构分割
冠状动脉对人类心脏的正常功能至关重要。然而,它们通常很难从其他充满血液的心脏腔中分离出来。造成这些困难的主要原因是缺乏足够的空间分辨率和局部体积效应。在本文中,我们提出了一种方法来标记冠状动脉的虚拟内镜穿越。与外部视图或切片检查方法相比,虚拟内窥镜可以更容易地视觉识别血管。此外,我们使用这种标记作为支架的冠状动脉的实际分割。
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Volume rendering for high dynamic range displays A VR toolkit for the diagnosis and monitoring of myocardial infarctions End-to-end data reduction and hardware accelerated rendering techniques for visualizing time-varying non-uniform grid volume data Scaffolding-based segmentation of coronary vascular structures A multiresolution volume rendering framework for large-scale time-varying data visualization
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