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COMPUTATIONAL ANALYSIS OF HRCT IMAGES FOR CHARACTERIZATION AND DIFFERENTIATION OF ILD AND COPD

机译:HRCT图像的计算分析及分化ILD和COPD

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Several image metrics have been proposed for pulmonary assessment via thoracic high-resolution computed tomography (HRCT) for various pathologies. This paper describes a systematic analysis of several such metrics for differentiating between interstitial lung disease (ILD) and chronic obstructive pulmonary disease (COPD). HRCT inspiratory and expiratory images for 14 patients with ILD and 11 patients with COPD were acquired retrospectively. Data from pulmonary function testings (PFT) were also acquired retrospectively for each patient. Using a discriminative subset of image metrics, our study shows that computational analysis of thoracic HRCT images permits differentiation between ILD and COPD groups.
机译:已经提出了几种图像指标,以通过胸廓高分辨率计算断层扫描(HRCT)进行肺部评估,用于各种病理学。本文介绍了分化间质肺病(ILD)和慢性阻塞性肺病(COPD)的若干这样的度量的系统分析。回顾性地获得了14例ILD和11例COPD患者的HRCT吸气和呼气图像。每个患者还回顾性来自肺功能测试(PFT)的数据。我们的研究表明,使用鉴别的图像指标子集,表明胸部HRCT图像的计算分析允许ILD和COPD组之间的差异。

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