Architectures for Intraoperative Image Fusion in Brain Surgery
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
Abstract
To reduce the risk for patients during neurosurgical procedures, an intraoperative imaging system is required for the identification and localisation of functional areas and brain tumours. Thermography is based on the measurement of long-wave infrared radiation and constitutes a promising non-invasive and marker-free technique for intraoperative functional imaging. In this paper, different methods for the fusion of thermographic and white-light images are discussed and appropriate architectures for digital hardware implementations are proposed. We demonstrate the real-time capability of the derived architectures implemented on a Xilinx Zynq FPGA.
Details
Original language | English |
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Title of host publication | 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (electronic) | 9781538648810 |
Publication status | Published - 26 Apr 2018 |
Peer-reviewed | Yes |
Publication series
Series | Proceedings - IEEE International Symposium on Circuits and Systems |
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Volume | 2018-May |
ISSN | 0271-4310 |
Conference
Title | IEEE International Symposium on Circuits and Systems 2018 |
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Abbreviated title | ISCAS 2018 |
Duration | 27 - 30 May 2018 |
City | Florence |
Country | Italy |
External IDs
ORCID | /0000-0001-9875-3534/work/155291194 |
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ORCID | /0000-0001-7436-0103/work/155291629 |