Title :
Computational analysis of HRCT images for characterization and differentiation of ILD and COPD
Author :
Song, Gilyoung ; Barbosa, Ernesto ; Tustison, N. ; Gee, James ; Gefter, W.B. ; Kreider, M. ; Torigian, D.A.
Author_Institution :
Med. Center, Dept. of Radiol., Univ. of Pennsylvania, Philadelphia, PA, USA
fDate :
June 28 2009-July 1 2009
Abstract :
Several image metrics have been proposed for pulmonary assessment via thoracic high-resolution computed tomography (HRCT) for various pathologies. This paper describes a systematic analysis of several such metrics for differentiating between interstitial lung disease (ILD) and chronic obstructive pulmonary disease (COPD). HRCT inspiratory and expiratory images for 14 patients with ILD and 11 patients with COPD were acquired retrospectively. Data from pulmonary function testings (PFT) were also acquired retrospectively for each patient. Using a discriminative subset of image metrics, our study shows that computational analysis of thoracic HRCT images permits differentiation between ILD and COPD groups.
Keywords :
computerised tomography; diseases; lung; medical image processing; COPD; HRCT images; HRCT inspiratory image; ILD; chronic obstructive pulmonary disease; computational analysis; discriminative subset; expiratory image; image metrics; interstitial lung disease; pulmonary assessment; pulmonary function testings; thoracic high-resolution computed tomography; Attenuation; Biomedical imaging; Computed tomography; Diseases; Image analysis; Lungs; Medical diagnostic imaging; Pathology; Physiology; Testing; chronic obstructive pulmonary disease(COPD); computed tomography(CT); correlation; emphysema; feature selection; interstitial lung disease(ILD); pulmonary function testing(PFT); quantification;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2009.5193223
