TY - GEN
T1 - Patient-specific finite-element simulation of respiratory mechanics for radiotherapy guidance, a first evaluation study
AU - Fuerst, B.
AU - Mansi, T.
AU - Khurd, P.
AU - Zhang, J.
AU - Declerck, J.
AU - Boettger, T.
AU - Navab, N.
AU - Bayouth, J.
AU - Kamen, A.
PY - 2012
Y1 - 2012
N2 - During radiotherapy of lung tumors, the respiratory motion must be tracked to reduce radiation of healthy tissue. This is usually done by using a respiratory surrogate, but with limited accuracy. We investigate how patient-specific finite element models (FEM) of respiratory mechanics can predict the motion of the lungs. First, the anatomical models of the lungs and thorax are extracted from CT images automatically. Then, a biomechanical model is used to simulate the respiratory motion based on a novel thorax/lung interaction force that simulates the pleural cavity. Our model is not driven by image forces but by thoracic pressures personalized using a multivariate optimizer. The proposed model is validated on three DIR-Lab datasets, yielding a promising internal landmark error of 3.33 ± 0.60 mm. Our model may represent a tool for lung deformation prediction and therapy guidance.
AB - During radiotherapy of lung tumors, the respiratory motion must be tracked to reduce radiation of healthy tissue. This is usually done by using a respiratory surrogate, but with limited accuracy. We investigate how patient-specific finite element models (FEM) of respiratory mechanics can predict the motion of the lungs. First, the anatomical models of the lungs and thorax are extracted from CT images automatically. Then, a biomechanical model is used to simulate the respiratory motion based on a novel thorax/lung interaction force that simulates the pleural cavity. Our model is not driven by image forces but by thoracic pressures personalized using a multivariate optimizer. The proposed model is validated on three DIR-Lab datasets, yielding a promising internal landmark error of 3.33 ± 0.60 mm. Our model may represent a tool for lung deformation prediction and therapy guidance.
KW - Lung/Thorax FEM
KW - Pressure Estimation
KW - Respiratory Mechanics
KW - Trust-Region Optimization
UR - http://www.scopus.com/inward/record.url?scp=84864863362&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84864863362&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2012.6235779
DO - 10.1109/ISBI.2012.6235779
M3 - Conference contribution
AN - SCOPUS:84864863362
SN - 9781457718588
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 1212
EP - 1215
BT - 2012 9th IEEE International Symposium on Biomedical Imaging
T2 - 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012
Y2 - 2 May 2012 through 5 May 2012
ER -