Underestimation of lung regions on chest X-ray segmentation masks assessed by comparison with total lung volume evaluated on computed tomography

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Auteurs principaux: Bombiński, Przemysław, Szatkowski, Patryk, Sobieski, Bartłomiej, Kwieciński, Tymoteusz, Płotka, Szymon, Adamek, Mariusz, Banasiuk, Marcin, Furmanek, Mariusz I., Biecek, Przemysław
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Publié: 2024
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author Bombiński, Przemysław
Szatkowski, Patryk
Sobieski, Bartłomiej
Kwieciński, Tymoteusz
Płotka, Szymon
Adamek, Mariusz
Banasiuk, Marcin
Furmanek, Mariusz I.
Biecek, Przemysław
author_facet Bombiński, Przemysław
Szatkowski, Patryk
Sobieski, Bartłomiej
Kwieciński, Tymoteusz
Płotka, Szymon
Adamek, Mariusz
Banasiuk, Marcin
Furmanek, Mariusz I.
Biecek, Przemysław
contents Lung mask creation lacks well-defined criteria and standardized guidelines, leading to a high degree of subjectivity between annotators. In this study, we assess the underestimation of lung regions on chest X-ray segmentation masks created according to the current state-of-the-art method, by comparison with total lung volume evaluated on computed tomography (CT). We show, that lung X-ray masks created by following the contours of the heart, mediastinum, and diaphragm significantly underestimate lung regions and exclude substantial portions of the lungs from further assessment, which may result in numerous clinical errors.
format Preprint
id arxiv_https___arxiv_org_abs_2402_11510
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Underestimation of lung regions on chest X-ray segmentation masks assessed by comparison with total lung volume evaluated on computed tomography
Bombiński, Przemysław
Szatkowski, Patryk
Sobieski, Bartłomiej
Kwieciński, Tymoteusz
Płotka, Szymon
Adamek, Mariusz
Banasiuk, Marcin
Furmanek, Mariusz I.
Biecek, Przemysław
Image and Video Processing
Computer Vision and Pattern Recognition
Lung mask creation lacks well-defined criteria and standardized guidelines, leading to a high degree of subjectivity between annotators. In this study, we assess the underestimation of lung regions on chest X-ray segmentation masks created according to the current state-of-the-art method, by comparison with total lung volume evaluated on computed tomography (CT). We show, that lung X-ray masks created by following the contours of the heart, mediastinum, and diaphragm significantly underestimate lung regions and exclude substantial portions of the lungs from further assessment, which may result in numerous clinical errors.
title Underestimation of lung regions on chest X-ray segmentation masks assessed by comparison with total lung volume evaluated on computed tomography
topic Image and Video Processing
Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2402.11510