The Impact of Sources of Variability on Parametric Response Mapping of Lung CT Scans
| Autor: | Jadranka Stojanovska, David A. Lynch, Ryan Chamberlain, Ella A. Kazerooni, MeiLan K. Han, Craig J. Galbán, Brian D. Ross, Maria Bule, Benjamin A. Hoff, Jennifer L. Boes, Fernando J. Martinez |
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| Rok vydání: | 2015 |
| Předmět: |
lung disease
Scanner viruses computer.software_genre Air trapping Article 030218 nuclear medicine & medical imaging 03 medical and health sciences quantitative CT 0302 clinical medicine Voxel Hounsfield scale medicine Radiology Nuclear Medicine and imaging Lung volumes Expiration sources of error Parametric statistics COPD business.industry parametric response map virus diseases medicine.disease humanities 3. Good health 030228 respiratory system medicine.symptom Nuclear medicine business computer Biomedical engineering |
| Zdroj: | Tomography Volume 1 Issue 1 Pages 69-77 Tomography : a journal for imaging research Tomography; Volume 1; Issue 1; Pages: 69-77 |
| ISSN: | 2379-139X |
| DOI: | 10.18383/j.tom.2015.00148 |
| Popis: | Parametric response mapping (PRM) of inspiration and expiration computed tomography (CT) images improves the radiological phenotyping of chronic obstructive pulmonary disease (COPD). PRM classifies individual voxels of lung parenchyma as normal, emphysematous, or nonemphysematous air trapping. In this study, bias and noise characteristics of the PRM methodology to CT and clinical procedures were evaluated to determine best practices for this quantitative technique. Twenty patients of varying COPD status with paired volumetric inspiration and expiration CT scans of the lungs were identified from the baseline COPDGene cohort. The impact of CT scanner manufacturer and reconstruction kernels were evaluated as potential sources of variability in PRM measurements along with simulations to quantify the impact of inspiration/expiration lung volume levels, misregistration, and image spacing on PRM measurements. Negligible variation in PRM metrics was observed when CT scanner type and reconstruction were consistent and inspiration/expiration lung volume levels were near target volumes. CT scanner Hounsfield unit drift occurred but remained difficult to ameliorate. Increasing levels of image misregistration and CT slice spacing were found to have a minor effect on PRM measurements. PRM-derived values were found to be most sensitive to lung volume levels and mismatched reconstruction kernels. As with other quantitative imaging techniques, reliable PRM measurements are attainable when consistent clinical and CT protocols are implemented. |
| Databáze: | OpenAIRE |
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