Observatorio de I+D+i UPM

Descripción
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%.
Internacional	Si
Nombre congreso	IEEE International Symposium on Biomedical Imaging (ISBI 2016)
Tipo de participación	960
Lugar del congreso	Praga (republica Checa)
Revisores	Si
ISBN o ISSN	978-1-4799-2350-2
DOI	10.1109/ISBI.2016.7493498
Fecha inicio congreso	13/04/2016
Fecha fin congreso	16/04/2016
Desde la página	1269
Hasta la página	1273
Título de las actas	Proceedings

Esta actividad pertenece a memorias de investigación

• Autor: Gonzalo Vegas Sánchez-Ferrero (UPM)
• Autor: Maria Jesus Ledesma Carbayo (UPM)

• Creador: Grupo de Investigación: Tecnología de imágenes biomédicas
• Centro o Instituto I+D+i: Centro de I+d+i en Procesado de la Información y Telecomunicaciones
• Departamento: Ingeniería Electrónica