Robust pigtail catheter tip detection in fluoroscopy

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 8316, Issue , 2012, Pages

  Tzoumas, Stratis ^a   Wang, Peng ^a   Zheng, Yefeng ^a   John, Matthias ^b   Comaniciu, Dorin ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b SIEMENS AG   (Germany)

Author keywords

catheter detection; Pigtail catheter; shape varying object detection; TAVI

Indexed keywords

AORTIC VALVES; CATHETER DETECTIONS; CONTRAST AGENT; DATA SETS; DETECTION FRAMEWORK; DETECTION PERFORMANCE; DETECTION SCHEME; DIFFERENT SHAPES; HAAR FEATURES; HUMAN BODIES; IMAGE-BASED; INTERVENTIONAL; OBJECT DETECTION; PROJECTION ANGLES; REAL-TIME DETECTION; TAVI;

FLUORESCENT SCREENS; MEDICAL IMAGING; ROBOTICS; SURGERY; VISUALIZATION;

CATHETERS;

EID: 84860237297     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.911084     Document Type: Conference Paper

References (6)

1. Wang, P., Pfister, M., Chen, T., and Comaniciu, D., "Using needle detection and tracking for motion compensation in abdominal interventions," in [Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro], ISBI'10, 612-615, IEEE Press, Piscataway, NJ, USA (2010).
2. Cootes, T. F., Edwards, G. J., and Taylor, C. J., "Active appearance models," IEEE Trans. Pattern Anal. Mach. Intell. 23, 681-685 (June 2001).
3. Zheng, Y., Barbu, A., Georgescu, B., Scheuering, M., and Comaniciu, D., "Fast automatic heart chamber segmentation from 3d ct data using marginal space learning and steerable features," in [ICCV], 1-8 (2007).
4. Wang, P., Chen, T., Zhou, S., Comaniciu, D., and Ostermeier, M., "The design of features and detector for the device detection and tracking in fluoroscopy," U.S. Intervention Disclosure 2010E19150US.
5. Tu, Z., "Probabilistic boosting-tree: Learning discriminative models for classification, recognition, and clustering,"in [ICCV], 1589-1596 (2005).
6. Wang, P. and Ji, Q., "Multi-view face detection under complex scene based on combined svms," in [Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04], ICPR '04, 179-182, IEEE Computer Society, Washington, DC, USA (2004).