Learning-based modeling of endovascular navigation for collaborative robotic catheterization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8150 LNCS, Issue PART 2, 2013, Pages 369-377

  Rafii Tari, Hedyeh ^a   Liu, Jindong ^a   Lee, Su Lin ^a   Bicknell, Colin ^a   Yang, Guang Zhong ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED APPROACH; COLLABORATIVE CONTROL; COLLABORATIVE ROBOTS; COLLABORATIVE SETTINGS; ENDOVASCULAR NAVIGATION; INFORMATION CONCERNING; LEARNING-BASED APPROACH; MOTION TRAJECTORIES;

CATHETERS; DIAGNOSIS; MACHINE DESIGN; ROBOTICS;

ROBOTS;

ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CATHETERIZATION; COMPUTER ASSISTED THERAPY; COMPUTER INTERFACE; COMPUTER SIMULATION; HUMAN; METHODOLOGY; ROBOTICS;

ARTIFICIAL INTELLIGENCE; CATHETERIZATION, PERIPHERAL; COMPUTER SIMULATION; HUMANS; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; ROBOTICS; THERAPY, COMPUTER-ASSISTED; USER-COMPUTER INTERFACE;

EID: 84885908797     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40763-5_46     Document Type: Conference Paper

References (12)

1. Riga, C., Bicknell, C., Hamady, M., Cheshire, N.: Evaluation of robotic endovascular catheters for arch vessel cannulation. J. Vasc. Surg. 54(3), 799-809 (2011)
2. Riga, C., Bicknell, C., Rolls, A., Cheshire, N., Hamady, M.: Robot-assisted fenestrated endovascular aneurysm repair (FEVAR) using the Magellan system. J. Vasc. Interv. Radiol. 24(2), 191-196 (2013)
3. Srimathveeravalli, G., Kesavadas, T., Li, X.: Design and fabrication of a robotic mechanism for remote steering and positioning of interventional devices. Int. J. Med. Robot. Comp. 6(2), 160-170 (2010)
4. Payne, C., Rafii-Tari, H., Yang, G.Z.: A force feedback system for endovascular catheterisation. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1298-1304 (2012)
5. Rafii-Tari, H., Payne, C.J., Riga, C., Bicknell, C., Lee, S.-L., Yang, G.-Z.: Assessment of navigation cues with proximal force sensing during endovascular catheterization. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds.) MICCAI 2012, Part II. LNCS, vol. 7511, pp. 560-567. Springer, Heidelberg (2012)
6. Lin, P., Bush, R., Peden, E., Zhou, W., Guerrero, M., Henao, E., Kougias, P., Mohiuddin, I., Lumsden, A.: Carotid artery stenting with neuroprotection: assessing the learning curve and treatment outcome. Am. J. Surg. 190(6), 855-863 (2005)
7. Hausegger, K.A., Schedlbauer, P., Deutschmann, H.A., Tiesenhausen, K.: Complications in endoluminal repair of abdominal aortic aneurysms. Eur. J. Radiol. 39(1), 22-33 (2001)
8. Thakur, Y., Holdsworth, D.W., Drangova, M.: Characterization of catheter dynamics during percutaneous transluminal catheter procedures. IEEE Trans. Biomed. Eng. 56(8), 2140-2143 (2009)
9. Argall, B.D., Chernova, S., Veloso, M., Browning, B.: A survey of robot learning from demonstration. Robot. Auton. Syst. 57(5), 469-483 (2009)
10. Reiley, C.E., Plaku, E., Hager, G.D.: Motion generation of robotic surgical tasks: Learning from expert demonstrations. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 967-970 (2010)
11. Padoy, N., Hager, G.: Human-machine collaborative surgery using learned models. In: IEEE International Conference on Robotics and Automation, pp. 5285-5292 (2011)
12. Calinon, S., Guenter, F., Billard, A.: On learning, representing, and generalizing a task in a humanoid robot. IEEE T. Syst. Man. Cy. B. 37(2), 286-298 (2007)