Implicit reconstruction of vasculatures using bivariate piecewise algebraic splines

Hong, Qingqi; Li, Qingde; Tian, Jie

Abstract

Vasculature geometry reconstruction from volumetric medical data is a crucial task in the development of computer guided minimally invasive vascular surgery systems. In this paper, a technique for reconstructing the geometry of vasculatures using bivariate implicit splines is developed. With the proposed technique, an implicit geometry representation of the vascular tree can be accurately constructed based on the voxels extracted directly from the surface of a certain vascular structure in a given volumetric medical dataset. Experimental results show that the geometric representation built using our method can faithfully represent the morphology and topology of vascular structures. In addition, both the qualitative and the quantitative validations have been performed to show that the reconstructed vessel geometry is of high accuracy and smoothness. An virtual angioscopy system has been implemented to indicate one of the strengths of our proposed method. © 2011 IEEE.

Citation

Hong, Q., Li, Q., & Tian, J. (2012). Implicit reconstruction of vasculatures using bivariate piecewise algebraic splines. IEEE Transactions on Medical Imaging, 31(3), 543-553. https://doi.org/10.1109/TMI.2011.2172455

• Journal Article Type: Article
• Online Publication Date: Oct 18, 2011
• Publication Date: Mar 1, 2012
• Deposit Date: Nov 13, 2014
• Journal: Ieee Transactions On Medical Imaging
• Print ISSN: 0278-0062
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 31
• Issue: 3
• Pages: 543-553
• DOI: https://doi.org/10.1109/TMI.2011.2172455
• Keywords: Electrical and Electronic Engineering; Radiological and Ultrasound Technology; Software; Computer Science Applications
• Public URL: https://hull-repository.worktribe.com/output/464600
• Publisher URL: https://ieeexplore.ieee.org/document/6051492/
• Additional Information: Article states that this is a pre-print
• Contract Date: Nov 13, 2014