Piezoelectric Self-Sensing System for Tactile Intraoperative Brain Tumor Delineation in Neurosurgery

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • David Oliva Uribe
  • Ralf Stroop
  • Jörg Wallaschek

External Research Organisations

  • University of Duisburg-Essen
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Details

Original languageEnglish
Title of host publication2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PublisherIEEE Computer Society
Pages737-740
Number of pages4
ISBN (print)9781424432967
Publication statusPublished - 13 Nov 2009
Event31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 - Minneapolis, MN, United States
Duration: 2 Sept 20096 Sept 2009
Conference number: 31

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society
ISSN (Print)1094-687X

Abstract

Mechanical characteristics of tumor and healthy tissue in the brain differ but slightly. The task of designing a system that is able to differentiate tissue dignity with high sensitivity is of great importance in neurosurgery. Even when localization of tumor by use of preoperative imaging techniques provides the surgeon with valuable information to decide where and what to resect, the brain shift due to change in pressure during skull opening demands the surgeon to define the limits of the tumor using tactile and visual differentiation. This paper contains a general description of the tactile sensor system based on a piezoelectric bimorph. The main parts of the measurement system are described and the selection of the electrical parameters for tactile differentiation is justified. Results are discussed for a series of measurements at different concentrations in gelatin phantoms.

ASJC Scopus subject areas

Cite this

Piezoelectric Self-Sensing System for Tactile Intraoperative Brain Tumor Delineation in Neurosurgery. / Uribe, David Oliva; Stroop, Ralf; Wallaschek, Jörg.
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Computer Society, 2009. p. 737-740 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Uribe, DO, Stroop, R & Wallaschek, J 2009, Piezoelectric Self-Sensing System for Tactile Intraoperative Brain Tumor Delineation in Neurosurgery. in 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE Computer Society, pp. 737-740, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, Minneapolis, MN, United States, 2 Sept 2009. https://doi.org/10.1109/IEMBS.2009.5332409
Uribe, D. O., Stroop, R., & Wallaschek, J. (2009). Piezoelectric Self-Sensing System for Tactile Intraoperative Brain Tumor Delineation in Neurosurgery. In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 737-740). (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society). IEEE Computer Society. https://doi.org/10.1109/IEMBS.2009.5332409
Uribe DO, Stroop R, Wallaschek J. Piezoelectric Self-Sensing System for Tactile Intraoperative Brain Tumor Delineation in Neurosurgery. In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Computer Society. 2009. p. 737-740. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society). doi: 10.1109/IEMBS.2009.5332409
Uribe, David Oliva ; Stroop, Ralf ; Wallaschek, Jörg. / Piezoelectric Self-Sensing System for Tactile Intraoperative Brain Tumor Delineation in Neurosurgery. 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Computer Society, 2009. pp. 737-740 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society).
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