Proceedings Paper
Highly sensitive time-resolved thermography and multivariate image analysis of the cerebral cortex for intrasurgical diagnostics| Format | Member Price | Non-Member Price |
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Paper Abstract
Time-resolved thermography is a novel method to assess thermal variations and heterogeneities in tissue and blood. The recent generation of thermal cameras provides a sensitivity of less than mK. This high sensitivity in conjunction with non-invasive, label-free and radiation-free monitoring makes thermography a promising tool for intrasurgical diagnostics. In brain surgery, time-resolved thermography can be employed to distinguish between normal and anomalous tissue. In this study, we investigated and discussed the potential of time-resolved thermography in neurosurgery for the intraoperative detection and demarcation of tumor borders. Algorithms for segmentation, reduction of movement artifacts and image fusion were developed. The preprocessed image stacks were subjected to discrete wavelet transform to examine individual frequency components. K-means clustering was used for image evaluation to reveal similarities within the image sequence. The image evaluation shows significant differences for both types of tissue. Tumor and normal tissues have different time characteristics in heat production and transfer. Furthermore, tumor could be highlighted. These results demonstrate that time-resolved thermography is able to support the detection of tumors in a contactless manner without any side effects for the tissue. The intraoperative usage of time-resolved thermography improves the accuracy of tumor resections to prevent irreversible brain damage during surgery.
Paper Details
Date Published: 8 March 2013
PDF: 7 pages
Proc. SPIE 8565, Photonic Therapeutics and Diagnostics IX, 856550 (8 March 2013); doi: 10.1117/12.2002342
Published in SPIE Proceedings Vol. 8565:
Photonic Therapeutics and Diagnostics IX
Andreas Mandelis; Brian Jet-Fei Wong; Anita Mahadevan-Jansen; Henry Hirschberg M.D.; Hyun Wook Kang; Nikiforos Kollias; Melissa J. Suter; Kenton W. Gregory M.D.; Guillermo J. Tearney M.D.; Stephen Lam; Bernard Choi; Steen J. Madsen; Bodo E. Knudsen M.D.; E. Duco Jansen; Justus F. Ilgner M.D.; Haishan Zeng; Matthew Brenner; Laura Marcu, Editor(s)
PDF: 7 pages
Proc. SPIE 8565, Photonic Therapeutics and Diagnostics IX, 856550 (8 March 2013); doi: 10.1117/12.2002342
Show Author Affiliations
Julia Hollmach, Technische Univ. Dresden (Germany)
Nico Hoffmann, Dresden Univ. of Technology (Germany)
Christian Schnabel, Dresden Univ. of Technology (Germany)
Saskia Küchler, Dresden Univ. of Technology (Germany)
Stephan Sobottka, Dresden Univ. of Technology (Germany)
Nico Hoffmann, Dresden Univ. of Technology (Germany)
Christian Schnabel, Dresden Univ. of Technology (Germany)
Saskia Küchler, Dresden Univ. of Technology (Germany)
Stephan Sobottka, Dresden Univ. of Technology (Germany)
Matthias Kirsch, Dresden Univ. of Technology (Germany)
Gabriele Schackert, Dresden Univ. of Technology (Germany)
Edmund Koch, Dresden Univ. of Technology (Germany)
Gerald Steiner, Dresden Univ. of Technology (Germany)
Gabriele Schackert, Dresden Univ. of Technology (Germany)
Edmund Koch, Dresden Univ. of Technology (Germany)
Gerald Steiner, Dresden Univ. of Technology (Germany)
Published in SPIE Proceedings Vol. 8565:
Photonic Therapeutics and Diagnostics IX
Andreas Mandelis; Brian Jet-Fei Wong; Anita Mahadevan-Jansen; Henry Hirschberg M.D.; Hyun Wook Kang; Nikiforos Kollias; Melissa J. Suter; Kenton W. Gregory M.D.; Guillermo J. Tearney M.D.; Stephen Lam; Bernard Choi; Steen J. Madsen; Bodo E. Knudsen M.D.; E. Duco Jansen; Justus F. Ilgner M.D.; Haishan Zeng; Matthew Brenner; Laura Marcu, Editor(s)
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