TY - GEN
T1 - Image-based bronchoscopy navigation system based on CT and C-arm fluoroscopy
AU - Steger, Teena
AU - Drechsler, Klaus
AU - Wesarg, Stefan
PY - 2014
Y1 - 2014
N2 - Lung cancer diagnosis requires biopsy of airway tissue, which is mostly done by bronchoscopy. Although preoperative CT is available, intraoperatively only 2D information provided by the bronchoscopic camera and fluoroscopy is used. But, guidance of the bronchoscope to the target site would highly benefit from knowing the exact 3D position of the instrument inside the airways. In this paper, we present a system for preoperative planning and intraoperative navigation during bronchoscopy. The preoperative components are automatic bronchial tree segmentation and skeletonization, semi-automatic tumor segmentation and a virtual fly-through simulation for planning purposes. During the intervention, we apply C-arm pose estimation using a marker plate on the patient table to align preoperative CT and intraoperative fluoroscopy. Thus, we can calculate the current 3D position of the bronchoscope inside the bronchial tree. Evaluation of the system components on patient CT and phantom fluoroscopy images showed promising results with high accuracy and robustness.
AB - Lung cancer diagnosis requires biopsy of airway tissue, which is mostly done by bronchoscopy. Although preoperative CT is available, intraoperatively only 2D information provided by the bronchoscopic camera and fluoroscopy is used. But, guidance of the bronchoscope to the target site would highly benefit from knowing the exact 3D position of the instrument inside the airways. In this paper, we present a system for preoperative planning and intraoperative navigation during bronchoscopy. The preoperative components are automatic bronchial tree segmentation and skeletonization, semi-automatic tumor segmentation and a virtual fly-through simulation for planning purposes. During the intervention, we apply C-arm pose estimation using a marker plate on the patient table to align preoperative CT and intraoperative fluoroscopy. Thus, we can calculate the current 3D position of the bronchoscope inside the bronchial tree. Evaluation of the system components on patient CT and phantom fluoroscopy images showed promising results with high accuracy and robustness.
KW - Bronchoscopy
KW - C-arm pose estimation
KW - CT
KW - Fluoroscopy
KW - Intra-operative navigation
KW - Segmentation
UR - http://www.scopus.com/inward/record.url?scp=84901670443&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-05666-1_3
DO - 10.1007/978-3-319-05666-1_3
M3 - Conference contribution
AN - SCOPUS:84901670443
SN - 9783319056654
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 15
EP - 22
BT - Clinical Image-Based Procedures
PB - Springer Verlag
T2 - 2nd International Workshop on Clinical Image-Based Procedures: Translational Research in Medical Imaging, CLIP 2013 - Held in Conjunction with MICCAI 2013
Y2 - 22 September 2013 through 22 September 2013
ER -
