Skeleton Marching-based Parallel Vascular Geometry Reconstruction Using Implicit Functions

doi:10.1007/s11633-019-1189-4

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	Skeleton Marching-based Parallel Vascular Geometry Reconstruction Using Implicit Functions
	Quan Qi 1; Qing-De Li 2; Yongqiang Cheng 2; Qing-Qi Hong 3
刊名	International Journal of Automation and Computing
	2020
卷号	17 期号:1 页码:30-43
关键词	Vascular geometric reconstruction implicit modelling parallel computing high-performance high-accuracy.
ISSN号	1476-8186
DOI	10.1007/s11633-019-1189-4
英文摘要	Fast high-precision patient-specific vascular tissue and geometric structure reconstruction is an essential task for vascular tissue engineering and computer-aided minimally invasive vascular disease diagnosis and surgery. In this paper, we present an effective vascular geometry reconstruction technique by representing a highly complicated geometric structure of a vascular system as an implicit function. By implicit geometric modelling, we are able to reduce the complexity and level of difficulty of this geometric reconstruction task and turn it into a parallel process of reconstructing a set of simple short tubular-like vascular sections, thanks to the easy-blending nature of implicit geometries on combining implicitly modelled geometric forms. The basic idea behind our technique is to consider this extremely difficult task as a process of team exploration of an unknown environment like a cave. Based on this idea, we developed a parallel vascular modelling technique, called Skeleton Marching, for fast vascular geometric reconstruction. With the proposed technique, we first extract the vascular skeleton system from a given volumetric medical image. A set of sub-regions of a volumetric image containing a vascular segment is then identified by marching along the extracted skeleton tree. A localised segmentation method is then applied to each of these sub-image blocks to extract a point cloud from the surface of the short simple blood vessel segment contained in the image block. These small point clouds are then fitted with a set of implicit surfaces in a parallel manner. A high-precision geometric vascular tree is then reconstructed by blending together these simple tubular-shaped implicit surfaces using the shape-preserving blending operations. Experimental results show the time required for reconstructing a vascular system can be greatly reduced by the proposed parallel technique.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/42308]
专题	自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位	1.College of Information Science and Technology, Shihezi University, Shihezi 832003, China 2.Department of Computer Science and Technology, University of Hull, Hull HU6 7RX, UK 3.Software School, Xiamen University, Xiamen 361005, China
推荐引用方式 GB/T 7714	Quan Qi,Qing-De Li,Yongqiang Cheng,et al. Skeleton Marching-based Parallel Vascular Geometry Reconstruction Using Implicit Functions[J]. International Journal of Automation and Computing,2020,17(1):30-43.
APA	Quan Qi,Qing-De Li,Yongqiang Cheng,&Qing-Qi Hong.(2020).Skeleton Marching-based Parallel Vascular Geometry Reconstruction Using Implicit Functions.International Journal of Automation and Computing,17(1),30-43.
MLA	Quan Qi,et al."Skeleton Marching-based Parallel Vascular Geometry Reconstruction Using Implicit Functions".International Journal of Automation and Computing 17.1(2020):30-43.