- AutorIn
- Nico Hoffmann
- Georg Drache
- Prof. Dr. rer. nat. Edmund Koch
- Prof. Dr. rer. nat. Gerald Steiner
- Prof. Dr. med. Matthias Kirsch
- Sen.-Prof. Dr.-Ing. Uwe Petersohn
- Titel
- Quantification and Classification of Cortical Perfusion during Ischemic Strokes by Intraoperative Thermal Imaging
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa-230833
- Schriftenreihe
- Technische Berichte
- Bandnummer
- 2016,02 (TUD-FI16-02-September 2016)
- Erstveröffentlichung
- 2016
- ISSN
- 1430-211X
- Abstract (EN)
- Thermal imaging is a non-invasive and marker-free approach for intraoperative measurements of small temperature variations. In this work, we demonstrate the abilities of active dynamic thermal imaging for analysis of tissue perfusion state in case of cerebral ischemia. For this purpose, a NaCl irrigation is applied to the exposed cortex during hemicraniectomy. The cortical temperature changes are measured by a thermal imaging system and the thermal signal is recognized by a novel machine learning framework. Subsequent tissue heating is then approximated by a double exponential function to estimate tissue temperature decay constants. These constants allow us to characterize tissue with respect to its dynamic thermal properties. Using a Gaussian mixture model we show the correlation of these estimated parameters with infarct demarcations of post-operative CT. This novel scheme yields a standardized representation of cortical thermodynamic properties and might guide further research regarding specific intraoperative diagnostics.
- Freie Schlagwörter (DE)
- maschinelles Lernen, Thermografie, ischämische Schlaganfälle
- Freie Schlagwörter (EN)
- machine learning, thermal imaging, ischemic stroke
- Klassifikation (DDC)
- 004
- Klassifikation (RVK)
- SS 5514
- Publizierende Institution
- Technische Universität Dresden, Dresden
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa-230833
- Veröffentlichungsdatum Qucosa
- 06.06.2018
- Dokumenttyp
- Forschungsbericht
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis