Quantitative airway analysis in longitudinal studies using groupwise registration and 4D optimal surfaces

TY - GEN

T1 - Quantitative airway analysis in longitudinal studies using groupwise registration and 4D optimal surfaces

AU - Petersen, Jens

AU - Modat, Marc

AU - Cardoso, Manuel Jorge

AU - Dirksen, Asger

AU - Ourselin, Sebastian

AU - de Bruijne, Marleen

N1 - Conference code: 16

PY - 2013

Y1 - 2013

N2 - Quantifying local changes to the airway wall surfaces from computed tomography images is important in the study of diseases such as chronic obstructive pulmonary disease. Current approaches segment the airways in the individual time point images and subsequently aggregate per airway generation or perform branch matching to assess regional changes. In contrast, we propose an integrated approach analysing the time points simultaneously using a subject-specific groupwise space and 4D optimal surface segmentation. The method combines information from all time points and measurements are matched locally at any position on the resulting surfaces. Visual inspection of the scans of 10 subjects showed increased tree length compared to the state of the art with little change in the amount of false positives. A large scale analysis of the airways of 374 subjects including a total of 1870 images showed significant correlation with lung function and high reproducibility of the measurements.

AB - Quantifying local changes to the airway wall surfaces from computed tomography images is important in the study of diseases such as chronic obstructive pulmonary disease. Current approaches segment the airways in the individual time point images and subsequently aggregate per airway generation or perform branch matching to assess regional changes. In contrast, we propose an integrated approach analysing the time points simultaneously using a subject-specific groupwise space and 4D optimal surface segmentation. The method combines information from all time points and measurements are matched locally at any position on the resulting surfaces. Visual inspection of the scans of 10 subjects showed increased tree length compared to the state of the art with little change in the amount of false positives. A large scale analysis of the airways of 374 subjects including a total of 1870 images showed significant correlation with lung function and high reproducibility of the measurements.

U2 - 10.1007/978-3-642-40763-5_36

DO - 10.1007/978-3-642-40763-5_36

M3 - Article in proceedings

SN - 978-3-642-40762-8

VL - 2

T3 - Lecture notes in computer science

SP - 287

EP - 294

BT - Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013

A2 - Mori, Kensaku

A2 - Sakuma, Ichiro

A2 - Sato, Yoshinobu

A2 - Barillot, Christian

A2 - Navab, Nassir

PB - Springer

T2 - 16th International Conference on Medical Image Computing and Computer-Assisted Intervention

Y2 - 22 September 2013 through 26 September 2013

ER -