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首页> 外文期刊>Journal of Digital Imaging >Image Analysis for Cystic Fibrosis: Computer-Assisted Airway Wall and Vessel Measurements from Low-Dose, Limited Scan Lung CT Images
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Image Analysis for Cystic Fibrosis: Computer-Assisted Airway Wall and Vessel Measurements from Low-Dose, Limited Scan Lung CT Images

机译:囊性纤维化的图像分析:计算机辅助气道壁和血管测量(来自低剂量,受限的扫描肺部CT图像)

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摘要

Cystic fibrosis (CF) is a life-limiting genetic disease that affects approximately 30,000 Americans. When compared to those of normal children, airways of infants and young children with CF have thicker walls and are more dilated in high-resolution computed tomographic (CT) imaging. In this study, we develop computer-assisted methods for assessment of airway and vessel dimensions from axial, limited scan CT lung images acquired at low pediatric radiation doses. Two methods (threshold- and model-based) were developed to automatically measure airway and vessel sizes for pairs identified by a user. These methods were evaluated on chest CT images from 16 pediatric patients (eight infants and eight children) with different stages of mild CF related lung disease. Results of threshold-based, corrected with regression analysis, and model-based approaches correlated well with both electronic caliper measurements made by experienced observers and spirometric measurements of lung function. While the model-based approach results correlated slightly better with the human measurements than those of the threshold method, a hybrid method, combining these two methods, resulted in the best results.
机译:囊性纤维化(CF)是一种限制生命的遗传病,大约影响30,000名美国人。与正常儿童相比,CF婴幼儿的气道壁更厚,在高分辨率计算机断层扫描(CT)成像中更易扩张。在这项研究中,我们开发了计算机辅助方法,用于从低剂量儿科放射剂量获得的轴向,有限的CT扫描肺图像中评估气道和血管的大小。开发了两种方法(基于阈值和基于模型的方法)来自动测量用户识别出的气道和血管尺寸。在16例患有轻度CF相关性肺疾病不同阶段的儿科患者(8例婴儿和8例儿童)的胸部CT图像上评估了这些方法。基于阈值的结果(通过回归分析进行校正)和基于模型的方法与经验丰富的观察员进行的电子卡尺测量和肺功能的肺活量测定均具有良好的相关性。尽管基于模型的方法结果与人为测量的相关性比阈值方法稍好一些,但结合了这两种方法的混合方法却获得了最佳结果。

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