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Vegas Sánchez-Ferrero, Gonzalo and Washko, George and Rahaghi, Farbod N. and Ledesma Carbayo, María Jesús and San José Estépar, Raúl (2016). Derivation of a test statistic for emphysema quantification. In: "13th International Symposium on Biomedical Imaging (ISBI), 2016 IEEE", 13/04/2016 - 16/04/2016, Praga (republica Checa). ISBN 978-1-4799-2349-6. pp. 1269-1273. https://doi.org/10.1109/ISBI.2016.7493498.
Title: | Derivation of a test statistic for emphysema quantification |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | 13th International Symposium on Biomedical Imaging (ISBI), 2016 IEEE |
Event Dates: | 13/04/2016 - 16/04/2016 |
Event Location: | Praga (republica Checa) |
Title of Book: | Proceedings of 13th International Symposium on Biomedical Imaging (ISBI), 2016 IEEE |
Date: | 2016 |
ISBN: | 978-1-4799-2349-6 |
Subjects: | |
Freetext Keywords: | Attenuation, Random variables, Standards, Computed tomography, Lungs, Testing, Gaussian distribution |
Faculty: | E.T.S.I. Telecomunicación (UPM) |
Department: | Ingeniería Electrónica |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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Density masking is the de-facto quantitative imaging phenotype for emphysema that is widely used by the clinical community. Density masking defines the burden of emphysema by a fixed threshold, usually between -910 HU and -950 HU, that has been experimentally validated with histology. In this work, we formalized emphysema quantification by means of statistical inference. We show that a non-central Gamma is a good approximation for the local distribution of image intensities for normal and emphysema tissue. We then propose a test statistic in terms of the sample mean of a truncated noncentral Gamma random variable. Our results show that this approach is well-suited for the detection of emphysema and superior to standard density masking. The statistical method was tested in a dataset of 1337 samples obtained from 9 different scanner models in subjects with COPD. Results showed an increase of 17% when compared to the density masking approach, and an overall accuracy of 94.09%.
Item ID: | 46503 |
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DC Identifier: | https://oa.upm.es/46503/ |
OAI Identifier: | oai:oa.upm.es:46503 |
DOI: | 10.1109/ISBI.2016.7493498 |
Official URL: | http://ieeexplore.ieee.org/document/7493498/ |
Deposited by: | Memoria Investigacion |
Deposited on: | 11 Jul 2017 16:49 |
Last Modified: | 11 Apr 2023 18:12 |