Derivation of a test statistic for emphysema quantification

Vegas Sánchez-Ferrero, Gonzalo and Washko, George and Rahaghi, Farbod N. and Ledesma Carbayo, Maria Jesus 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.

Description

Title: Derivation of a test statistic for emphysema quantification
Author/s:
  • Vegas Sánchez-Ferrero, Gonzalo
  • Washko, George
  • Rahaghi, Farbod N.
  • Ledesma Carbayo, Maria Jesus
  • San José Estépar, Raúl
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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Abstract

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%.

More information

Item ID: 46503
DC Identifier: http://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 Jul 2017 16:49
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