Quantitative analysis of airway abnormalities in CT
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Quantitative analysis of airway abnormalities in CT. / Petersen, Jens; Lo, Pechin Chien Pau; Nielsen, Mads; Edula, Goutham; Ashraf, Haseem; Dirksen, Asger; de Bruijne, Marleen.
Medical Imaging 2010: computer-aided Diagnosis. ed. / Nico Karssemeijer; Ronald M. Summers. SPIE - International Society for Optical Engineering, 2010. 76241S (Progress in Biomedical Optics and Imaging; No. 34, Vol. 11).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Quantitative analysis of airway abnormalities in CT
AU - Petersen, Jens
AU - Lo, Pechin Chien Pau
AU - Nielsen, Mads
AU - Edula, Goutham
AU - Ashraf, Haseem
AU - Dirksen, Asger
AU - de Bruijne, Marleen
PY - 2010
Y1 - 2010
N2 - A coupled surface graph cut algorithm for airway wall segmentation from Computed Tomography (CT) images is presented. Using cost functions that highlight both inner and outer wall borders, the method combines the search for both borders into one graph cut. The proposed method is evaluated on 173 manually segmented images extracted from 15 different subjects and shown to give accurate results, with 37% less errors than the Full Width at Half Maximum (FWHM) algorithm and 62% less than a similar graph cut method without coupled surfaces. Common measures of airway wall thickness such as the Interior Area (IA) and Wall Area percentage (WA%) was measured by the proposed method on a total of 723 CT scans from a lung cancer screening study. These measures were significantly different for participants with Chronic Obstructive Pulmonary Disease (COPD) compared to asymptomatic participants. Furthermore, reproducibility was good as confirmed by repeat scans and the measures correlated well with the outcomes of pulmonary function tests, demonstrating the use of the algorithm as a COPD diagnostic tool. Additionally, a new measure of airway wall thickness is proposed, Normalized Wall Intensity Sum (NWIS). NWIS is shown to correlate better with lung function test values and to be more reproducible than previous measures IA, WA% and airway wall thickness at a lumen perimeter of 10 mm (PI10).
AB - A coupled surface graph cut algorithm for airway wall segmentation from Computed Tomography (CT) images is presented. Using cost functions that highlight both inner and outer wall borders, the method combines the search for both borders into one graph cut. The proposed method is evaluated on 173 manually segmented images extracted from 15 different subjects and shown to give accurate results, with 37% less errors than the Full Width at Half Maximum (FWHM) algorithm and 62% less than a similar graph cut method without coupled surfaces. Common measures of airway wall thickness such as the Interior Area (IA) and Wall Area percentage (WA%) was measured by the proposed method on a total of 723 CT scans from a lung cancer screening study. These measures were significantly different for participants with Chronic Obstructive Pulmonary Disease (COPD) compared to asymptomatic participants. Furthermore, reproducibility was good as confirmed by repeat scans and the measures correlated well with the outcomes of pulmonary function tests, demonstrating the use of the algorithm as a COPD diagnostic tool. Additionally, a new measure of airway wall thickness is proposed, Normalized Wall Intensity Sum (NWIS). NWIS is shown to correlate better with lung function test values and to be more reproducible than previous measures IA, WA% and airway wall thickness at a lumen perimeter of 10 mm (PI10).
U2 - 10.1117/12.843937
DO - 10.1117/12.843937
M3 - Article in proceedings
T3 - Progress in Biomedical Optics and Imaging
BT - Medical Imaging 2010
A2 - Karssemeijer, Nico
A2 - Summers, Ronald M.
PB - SPIE - International Society for Optical Engineering
T2 - Medical Imaging 2010
Y2 - 16 February 2010 through 18 February 2010
ER -
ID: 15685924