Functional near infrared spectroscopy in novice and expert surgeons - A manifold embedding approach

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

Volumn 4792 LNCS, Issue PART 2, 2007, Pages 270-277

  Leff, Daniel Richard ^a   Orihuela Espina, Felipe ^a   Atallah, Louis ^a   Darzi, Ara ^a   Yang, Guang Zhong ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

NEAR INFRARED SPECTROSCOPY; NEUROSURGERY; VISUALIZATION;

CORTICAL BEHAVIOUR; FUNCTIONAL NEAR INFRARED SPECTROSCOPY; HAEMODYNAMIC SIGNALS; MANIFOLD EMBEDDING;

BRAIN;

ALGORITHM; ARTICLE; BRAIN CORTEX; BRAIN MAPPING; HUMAN; INFRARED SPECTROPHOTOMETRY; MALE; METHODOLOGY; MOTOR PERFORMANCE; PHYSIOLOGY; PROFESSIONAL COMPETENCE; SURGERY; TASK PERFORMANCE;

ALGORITHMS; BRAIN MAPPING; CEREBRAL CORTEX; HUMANS; MALE; MOTOR SKILLS; PROFESSIONAL COMPETENCE; SPECTROPHOTOMETRY, INFRARED; SURGERY; TASK PERFORMANCE AND ANALYSIS;

EID: 79551687299     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75759-7_33     Document Type: Conference Paper

References (14)

1. Leong, J.J.H., Nicolaou, M., Atallah, L., Mylonas, G., Darzi, A.W., Yang, G.Z.: HMM Assessment of Quality of Movement Trajectory in Laparoscopic Surgery. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol.4190, pp. 752-759. Springer, Heidelberg (2006)
2. Leff, D.R., Koh, P.H., Aggarwal, R., Deligiani, F., Elwell, C., Delpy, D.T., Darzi, A.W., Yang, G.Z.: Optical Mapping of the Frontal Cortex During a Surgical Knot-Tying Task, a Feasibility Study. In: Medical Imaging Augmented Reality (MIAR), vol. 4091, pp. 140-147 (2006)
3. Halsband, U., Lange, R.K.: Motor learning in man: a review of functional and clinical studies. J. Physiol. Paris 99, 414-424 (2006)
4. Villringer, A., Planck, J., Hock, C., Schleinkofer, L., Dirnagl, U.: Near infrared spectroscopy (NIRS): a new tool to study hemodynamic changes during activation of brain function in human adults. Neurosci. Lett. 154, 101-104 (1993)
5. Strangman, G., Boas, D.A., Sutton, J.P.: Non-invasive neuroimaging using near-infrared light. Biol. Psychiatry 52, 679-693 (2002)
6. Friston, K.J.: Human Brain Fuction, 2nd edn. (2003)
7. Tenenbaum, J.B., de Silva, V., Langford, J.C.: A global geometric framework for nonlinear dimensionality reduction. Science 290, 2319-2323 (2000)
8. Geng, X., Zhan, D.C., Zhou, Z.H.: Supervised Nonlinear Dimensionality Reduction for Visualization and Classification. IEEE Transactions on systems, man and cybernetics, Part B: cybernetics 35, 1098-1107 (2005)
9. Sato, H., Kiguchi, M., Kawaguchi, F., Maki, A.: Practicality of wavelength selection to improve signal-to-noise ratio in near-infrared spectroscopy. Neurolmage 21, 1554-1562 (2004)
10. Jasper, H.H.: The ten-twenty electrode system of the International Federation. Electroencephalogr. Clin.Neurophysiol. 10, 371-375 (1958)
11. Taffinder, N., Smith, S., Mair, J., Russell, R., Darzi, A.: Can a computer measure surgical precision? Reliability, validity and feasibility of the ICSAD. Surg. Endose. 13, 81 (1999)
12. Koh, P.H., Delpy, D.T., Elwell, C.E.: fOSA: A software tool for NIRS processing. In: Proceedings of Optical Society of America (2006)
13. Rubner, Y., Tomasi, C., Guibas, L.J.: A metric for distributions with applications to image databases. In: ICCV 1998. International Conference on Computer Vision, pp. 59-66 (1998)
14. Dempere-Marco, L., Hu, X.P., Ellis, S.M., Hansell, D.M., Yang, G.Z.: Analysis of visual search patterns with EMD metric in normalized anatomical space. IEEE Trans. Med. Imaging. 25, 1011-1021 (2006)