Abstract
In this paper, finite element methodology was applied to predict the deformation of tissue during lung collapse using pre-operative information. Accurate prediction of lung collapse deformation prior to surgical intervention can provide valuable diagnostic information to clinical staff, allowing a better understanding of the movement of the target segment. This paper describe the methodology to derive the deformed shape of finite element model that satisfy the equilibrium condition using 3-D model developed from the image measured by a multi-slice CT imaging device. The movement of the target segment can be predicted by the finite element model. Previous research studies applied the distributed load on the surface of the lung structure as loading conditions. Here we have suggested a method that considers the deformation of alveoli contraction and elongation while breathing. Specifically, by introducing the governing equations of a reduction in volume strain into the governing equations of the finite element method, lung structure is analyzed. Lung deformation obtained from the analysis was compared with experimental results and compared with the proposed method. The proposed method showed an improvement of deformation-prediction accuracy as 0.58%. We confirmed the qualitative similarities between the deformation of the analysis and the experiment, thus demonstrating the effectiveness of the proposed method.
| Original language | English |
|---|---|
| Pages (from-to) | 2817-2822 |
| Number of pages | 6 |
| Journal | Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference |
| Volume | 2012 |
| Publication status | Published - 2012 |
Fingerprint
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Signal Processing
- Biomedical Engineering
- Health Informatics
Cite this
A study on estimation of the deformation behavior in the collapse process of lung. / Katsuyama, Yusuke; Yamazaki, Nozomu; Kobayashi, Y.; Hoshi, Takeharu; Miyashita, Tomoyuki.
In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, Vol. 2012, 2012, p. 2817-2822.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A study on estimation of the deformation behavior in the collapse process of lung.
AU - Katsuyama, Yusuke
AU - Yamazaki, Nozomu
AU - Kobayashi, Y.
AU - Hoshi, Takeharu
AU - Miyashita, Tomoyuki
PY - 2012
Y1 - 2012
N2 - In this paper, finite element methodology was applied to predict the deformation of tissue during lung collapse using pre-operative information. Accurate prediction of lung collapse deformation prior to surgical intervention can provide valuable diagnostic information to clinical staff, allowing a better understanding of the movement of the target segment. This paper describe the methodology to derive the deformed shape of finite element model that satisfy the equilibrium condition using 3-D model developed from the image measured by a multi-slice CT imaging device. The movement of the target segment can be predicted by the finite element model. Previous research studies applied the distributed load on the surface of the lung structure as loading conditions. Here we have suggested a method that considers the deformation of alveoli contraction and elongation while breathing. Specifically, by introducing the governing equations of a reduction in volume strain into the governing equations of the finite element method, lung structure is analyzed. Lung deformation obtained from the analysis was compared with experimental results and compared with the proposed method. The proposed method showed an improvement of deformation-prediction accuracy as 0.58%. We confirmed the qualitative similarities between the deformation of the analysis and the experiment, thus demonstrating the effectiveness of the proposed method.
AB - In this paper, finite element methodology was applied to predict the deformation of tissue during lung collapse using pre-operative information. Accurate prediction of lung collapse deformation prior to surgical intervention can provide valuable diagnostic information to clinical staff, allowing a better understanding of the movement of the target segment. This paper describe the methodology to derive the deformed shape of finite element model that satisfy the equilibrium condition using 3-D model developed from the image measured by a multi-slice CT imaging device. The movement of the target segment can be predicted by the finite element model. Previous research studies applied the distributed load on the surface of the lung structure as loading conditions. Here we have suggested a method that considers the deformation of alveoli contraction and elongation while breathing. Specifically, by introducing the governing equations of a reduction in volume strain into the governing equations of the finite element method, lung structure is analyzed. Lung deformation obtained from the analysis was compared with experimental results and compared with the proposed method. The proposed method showed an improvement of deformation-prediction accuracy as 0.58%. We confirmed the qualitative similarities between the deformation of the analysis and the experiment, thus demonstrating the effectiveness of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=84882950227&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84882950227&partnerID=8YFLogxK
M3 - Article
C2 - 23366511
AN - SCOPUS:84882950227
VL - 2012
SP - 2817
EP - 2822
JO - Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
JF - Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
SN - 1557-170X
ER -