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An improved matrix‐based endovascular guidewire position simulation using fusiform ternary tree
Author(s) -
Qiu Jianpeng,
Lyu Tianling,
Chen Yang,
Zhou Shoujun,
Xing Liudong
Publication year - 2020
Publication title -
the international journal of medical robotics and computer assisted surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 53
eISSN - 1478-596X
pISSN - 1478-5951
DOI - 10.1002/rcs.2137
Subject(s) - computer science , position (finance) , path (computing) , tree (set theory) , sampling (signal processing) , matrix (chemical analysis) , algorithm , node (physics) , computer vision , mathematics , materials science , acoustics , filter (signal processing) , economics , composite material , mathematical analysis , physics , finance , programming language
In this paper, a new matrix‐based method is proposed to real‐time determine, the guidewire position inside an arterial system. The guidewire path is obtained by the optimal path method, particularly, the fusiform ternary tree method according to the principle of minimum output value of root node. An adaptive sampling strategy, and an optimization strategy based on the proximal end and distal end of the guidewire are proposed to change the guidewire position for obtaining an ideal guidewire path. Compared to the existing methods, the proposed method can achieve 74%, 64%, and 70% improvements in accuracy for phantoms 1, 2, and 3, respectively, investigated in this work.