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Effects of CT Section Thickness and Reconstruction Kernel on Emphysema Quantification
- Source :
- Academic Radiology. 17:146-156
- Publication Year :
- 2010
- Publisher :
- Elsevier BV, 2010.
-
Abstract
- Rationale and Objectives Computed tomography (CT) section thickness and reconstruction kernel each influence CT measurements of emphysema. This study was performed to assess whether their effects are related to the magnitude of the measurement. Materials and Methods Low-radiation-dose multidetector CT was performed in 21 subjects representing a wide range of emphysema severity. Images were reconstructed using 20 different combinations of section thickness and reconstruction kernel. Emphysema index values were determined as the percentage of lung pixels having attenuation lower than multiple thresholds ranging from −960 HU to −890 HU. The index values obtained from the different thickness-kernel combinations were compared by repeated measures analysis of variance and Bland-Altman plots of mean versus difference in all subjects, and correlated with quantitative histology (mean linear intercept, Lm) in a subset of resected lung specimens. Results The effects of section thickness and reconstruction kernel on the emphysema index were significant ( P r = 0.55–0.68 ( P = .007–.03). Conclusion The effects of CT section thickness and kernel on emphysema index values varied systematically with the magnitude of the emphysema index. All reconstruction techniques provided significant correlations with quantitative histology.
- Subjects :
- medicine.medical_specialty
Quantitative histology
genetic structures
medicine.diagnostic_test
Repeated measures design
Magnitude (mathematics)
Computed tomography
respiratory system
respiratory tract diseases
Section (category theory)
Kernel (statistics)
medicine
Radiology, Nuclear Medicine and imaging
Radiology
Reconstruction kernel
Mathematics
Ct measurements
Subjects
Details
- ISSN :
- 10766332
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- Academic Radiology
- Accession number :
- edsair.doi...........e7f7820278a2422b80aeceaaa9b72304