LOCALLY ADAPTIVE HALF-MAX METHODS FOR AIRWAY LUMEN-AREA AND WALL-THICKNESS AND THEIR REPEAT CT SCAN REPRODUCIBILITY.
LOCALLY ADAPTIVE HALF-MAX METHODS FOR AIRWAY LUMEN-AREA AND WALL-THICKNESS AND THEIR REPEAT CT SCAN REPRODUCIBILITY.
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DOI：
10.1109/isbi45749.2020.9098558
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发表时间：
2020-04
期刊：
影响因子：
--
通讯作者：
Saha PK
中科院分区：
文献类型：
--
作者：
Nadeem SA;Hoffman EA;Comellas AP;Saha PK
基于定量计算机断层扫描（CT）的支气管指标表征越来越多地用于研究慢性阻塞性肺疾病（COPD）相关表型。自动化气道测量方法通过减少成本和主观性误差，有利于大型多地点研究。基于ct的气道形态学分析面临的关键挑战是，在近端到远端存在不同尺度和强度对比的情况下，管腔和管壁过渡的位置。本文引入了局部自适应半最大值方法来定位气道管腔和管壁过渡，并计算管腔截面面积和管壁厚度。此外，该方法利用了壁厚的一致性分析，避免了相邻结构的伪影。实验结果表明，在单个解剖气道树位置计算的支气管测量值是重复的CT扫描，管腔面积和壁厚的类内相关系数（ICC）分别超过0.9和0.8。观察到的衍生形态测量的ICC值，例如，管腔面积紧密度（ICC>0.67）和锥形度（ICC>0.47）相对较低。
Quantitative computed tomography (CT)-based characterization of bronchial metrics is increasingly being used to investigate chronic obstructive pulmonary disease (COPD)-related phenotypes. Automated methods for airway measurements benefit large multi-site studies by reducing cost and subjectivity errors. Critical challenges for CT-based analysis of airway morphology are related to location of lumen and wall transitions in the presence of varying scales and intensity-contrasts from proximal to distal sites. This paper introduces locally adaptive half-max methods to locate airway lumen and wall transitions and compute cross-sectional lumen area and wall-thickness. Also, the method uses a consistency analysis of wall-thickness to avoid adjoining-structure-artifacts. Experimental results show that computed bronchial measures at individual anatomic airway tree locations are repeat CT scan reproducible with intra-class correlation coefficient (ICC) values exceeding 0.9 and 0.8 for lumen-area and wall-thickness, respectively. Observed ICC values for derived morphologic measures, e.g., lumen-area compactness (ICC>0.67) and tapering (ICC>0.47) are relatively lower.
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