Book chapter
Registration-Invariant Biomechanical Features for Disease Staging of COPD in SPIROMICS
Thoracic Image Analysis, pp.143-154
Lecture Notes in Computer Science, Springer International Publishing
11/04/2020
DOI: 10.1007/978-3-030-62469-9_13
Abstract
Chronic Obstructive Pulmonary Disease (COPD) manifests itself as a heterogeneous mixture of airways disease and parenchymal tissue damage. Computed tomography (CT) imaging has been used to detect, assess, and characterize COPD. One approach for using CT imaging to assess COPD relies on image registration to match inspiratory and expiratory images to extract biomarkers reflective of local tissue biomechanics. Despite the initial success of such biomarkers, their diagnostic performance and stability across registration methods is yet to be studied. In this study, we evaluated the ability of pulmonary biomechanical features to explain several clinical parameters across four state-of-the-art image registration algorithms. We extracted features from three registration-based measures of lung mechanics: the Jacobian determinant, the anisotropic deformation index, and the slab-rod index. Four state-of-the-art registration methods were used to derive these measures and consequently four different biomechanical feature sets were constructed. We analyzed and compared the stability of these features for predicting airflow obstruction, COPD severity, and different spirometric measures. Biomechanical features were consistent across all four registration methods and were independently able to explain most of the variance in the spirometric measures. These variables predicted airflow obstruction and COPD stage with an average area under receiver operating characteristic curve of 0.86 and 0.80, respectively.
Details
- Title: Subtitle
- Registration-Invariant Biomechanical Features for Disease Staging of COPD in SPIROMICS
- Creators
- Muhammad F. A Chaudhary - University of IowaYue Pan - University of IowaDi Wang - University of IowaSandeep Bodduluri - University of Alabama at BirminghamSurya P Bhatt - University of Alabama at BirminghamAlejandro P Comellas - University of IowaEric A Hoffman - University of IowaGary E Christensen - University of IowaJoseph M Reinhardt - University of Iowa
- Resource Type
- Book chapter
- Publication Details
- Thoracic Image Analysis, pp.143-154
- Publisher
- Springer International Publishing; Cham
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/978-3-030-62469-9_13
- eISSN
- 1611-3349
- ISSN
- 0302-9743
- Language
- English
- Date published
- 11/04/2020
- Academic Unit
- Radiology; Pulmonary, Critical Care, and Occupational Medicine; Radiation Oncology; Roy J. Carver Department of Biomedical Engineering; ICTS; The Iowa Institute for Biomedical Imaging; Advanced Pulmonary Physiomic Imaging Laboratory; Holden Comprehensive Cancer Center; Radiation Research Laboratory; Electrical and Computer Engineering; Internal Medicine
- Record Identifier
- 9984197131802771
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