北京生物医学工程
北京生物醫學工程
북경생물의학공정
BEIJING BIOMEDICAL ENGINEERING
2015年
4期
350-353
,共4页
王昌%秦鑫%岳小萍%于毅
王昌%秦鑫%嶽小萍%于毅
왕창%진흠%악소평%우의
拓扑结构不变性%3D 细化算法%并行%骨架中心线%肺部气道树
拓撲結構不變性%3D 細化算法%併行%骨架中心線%肺部氣道樹
탁복결구불변성%3D 세화산법%병행%골가중심선%폐부기도수
topological invariance%3-D thinning algorithm%parallel%skeleton%pulmonary trachea
目的:双距离场算法提取的骨架居中性不佳,并且算法复杂度高,实时性差。本文提出一种基于拓扑结构不变性的3D 细化算法以提取肺气管的骨架。方法首先介绍了基于双距离场和拓扑结构不变性两种算法的基本原理,然后通过对欧拉特性不变性的证明,利用欧拉特性表查询来计算欧拉值,并计算26临域的连通度。利用欧拉特性值和连通度来保证拓扑结构,定义了一种拓扑结构不变的简单点,用并行的细化策略,快速获取单像素宽、连通的骨架中心线。结果将此算法应用于肺气管快速提取骨架中心线,利用已经分割出的高精度肺部气道树来提取骨架中心线。结论基于拓扑结构不变性的3D 并行细化算法与基于距离场的骨架提取算法相比得到更光滑、居中性更好的骨架,并且鲁棒性好,对噪声不敏感。
目的:雙距離場算法提取的骨架居中性不佳,併且算法複雜度高,實時性差。本文提齣一種基于拓撲結構不變性的3D 細化算法以提取肺氣管的骨架。方法首先介紹瞭基于雙距離場和拓撲結構不變性兩種算法的基本原理,然後通過對歐拉特性不變性的證明,利用歐拉特性錶查詢來計算歐拉值,併計算26臨域的連通度。利用歐拉特性值和連通度來保證拓撲結構,定義瞭一種拓撲結構不變的簡單點,用併行的細化策略,快速穫取單像素寬、連通的骨架中心線。結果將此算法應用于肺氣管快速提取骨架中心線,利用已經分割齣的高精度肺部氣道樹來提取骨架中心線。結論基于拓撲結構不變性的3D 併行細化算法與基于距離場的骨架提取算法相比得到更光滑、居中性更好的骨架,併且魯棒性好,對譟聲不敏感。
목적:쌍거리장산법제취적골가거중성불가,병차산법복잡도고,실시성차。본문제출일충기우탁복결구불변성적3D 세화산법이제취폐기관적골가。방법수선개소료기우쌍거리장화탁복결구불변성량충산법적기본원리,연후통과대구랍특성불변성적증명,이용구랍특성표사순래계산구랍치,병계산26림역적련통도。이용구랍특성치화련통도래보증탁복결구,정의료일충탁복결구불변적간단점,용병행적세화책략,쾌속획취단상소관、련통적골가중심선。결과장차산법응용우폐기관쾌속제취골가중심선,이용이경분할출적고정도폐부기도수래제취골가중심선。결론기우탁복결구불변성적3D 병행세화산법여기우거리장적골가제취산법상비득도경광활、거중성경호적골가,병차로봉성호,대조성불민감。
Objective The skeleton is not good at the neutral and not the simplest by the algorithm using the double distance field. An efficient 3-D thinning algorithm was proposed based on topological invariance to extract the skeleton of the pulmonary trachea in this paper. Methods Firstly this paper introduces the two algorithms basic on double distance field and topological invariance. Then through the proof of Euler characteristic invariant,the algorithm calculates the Euler value by using the Euler look-up table( LUT)and computes the connectivity of 26-connected neighbors. The algorithm uses the Euler value and connectivity to ensure topological invariance. Through the definition of simple point with the constant geometric properties and parallel refinement strategy,the algorithm quickly accesses to a single pixel wide and connected skeleton center-line. Results This algorithm can be applied to the pulmonary trachea quickly to extract the skeleton. Conclusions This algorithm achieves better results compared to the skeleton extraction algorithm based on distance field:the skeleton is located near the airway center-line and is connected,smooth,and single pixel wide. The algorithm is robust and not sensitive to noise.