scholarly journals Real-Time Ultrasonic Tracking of an Intraoperative Needle Tip with Integrated Fibre-Optic Hydrophone

2021 ◽  
Author(s):  
Christian Baker ◽  
Miguel Xochicale ◽  
Francois Joubert ◽  
Fang-yu Lin ◽  
Sunish Mathews ◽  
...  
Keyword(s):  
Real Time ◽  
Fibre Optic ◽  
Ultrasonic Tracking

Real-time passive monitoring with a fibre-optic ocean bottom array

First Break ◽  
2018 ◽  
Vol 36 (4) ◽  
pp. 55-61 ◽  
Author(s):  
Alex Goertz ◽  
Andreas Wuestefeld
Keyword(s):  
Real Time ◽  
Ocean Bottom ◽  
Fibre Optic ◽  
Passive Monitoring

Dual-Purpose Fibre Optic System Providing Simultaneous, Real-Time Communications and Distributed Vibration Sensing for Pipeline Applications

1998 ◽  
Author(s):  
E. Tapanes
Keyword(s):  
Real Time ◽  
Vibration Monitoring ◽  
Fibre Optic ◽  
Dual Purpose ◽  
Integrity Testing ◽  
Sensing Technology ◽  
Channel Bandwidth ◽  
Vibration Sensing ◽  
Fibre Optic System ◽  
Optic Communication

A proprietary fibre optic sensing technology has been developed and is capable of simultaneously utilising an existing fibre optic communication cable as an integrity-testing sensing cable, thus providing continuous, real-time monitoring of the fibre cable and any structure near the cable (ie., ground, tunnels, ducts, pipes, buildings, equipment, vessels, etc.). With this system, simultaneous fibre optic communications and real-time vibration monitoring was demonstrated using a wavelength multiplexed fibre system for a channel bandwidth of 500 MHz over 18 km of standard singlemode fibre. Real-time vibration monitoring was also demonstrated using standard singlemode and multimode fibre over lengths of 28 km and 53 km, respectively. Trials of the system are currently underway in Australia and the first commercial field installation with this capability is to be completed in mid-1998 in Indonesia. This paper highlights the benefits and potential of this dual-capacity system and details results obtained to-date.

scholarly journals Near real time in vivo fibre optic confocal microscopy: subcellular structure resolved

2002 ◽  
Vol 208 (1) ◽  
pp. 75-75 ◽  
Author(s):  
K. B. Sung ◽  
C. Liang ◽  
M. Descour ◽  
T. Collier ◽  
M. Follen ◽  
...  
Keyword(s):  
Confocal Microscopy ◽  
Real Time ◽  
Fibre Optic ◽  
Subcellular Structure

scholarly journals Machine Learning Aided Photonic Diagnostic System for Minimally Invasive Optically Guided Surgery in the Hepatoduodenal Area

Diagnostics ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 873
Author(s):  
Evgeny Zherebtsov ◽  
Marina Zajnulina ◽  
Ksenia Kandurova ◽  
Elena Potapova ◽  
Viktor Dremin ◽  
...  
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Diagnostic System ◽  
Blood Perfusion ◽  
Tissue Type ◽  
Fibre Optic ◽  
Doppler Flowmetry ◽  
The Real ◽  
Significant Difference ◽  
High Level

Abdominal cancer is a widely prevalent group of tumours with a high level of mortality if diagnosed at a late stage. Although the cancer death rates have in general declined over the past few decades, the mortality from tumours in the hepatoduodenal area has significantly increased in recent years. The broader use of minimal access surgery (MAS) for diagnostics and treatment can significantly improve the survival rate and quality of life of patients after surgery. This work aims to develop and characterise an appropriate technical implementation for tissue endogenous fluorescence (TEF) and assess the efficiency of machine learning methods for the real-time diagnosis of tumours in the hepatoduodenal area. In this paper, we present the results of the machine learning approach applied to the optically guided MAS. We have elaborated tissue fluorescence approach with a fibre-optic probe to record the TEF and blood perfusion parameters during MAS in patients with cancers in the hepatoduodenal area. The measurements from the laser Doppler flowmetry (LDF) channel were used as a sensor of the tissue vitality to reduce variability in TEF data. Also, we evaluated how the blood perfusion oscillations are changed in the tumour tissue. The evaluated amplitudes of the cardiac (0.6–1.6 Hz) and respiratory (0.2–0.6 Hz) oscillations was significantly higher in intact tissues (p < 0.001) compared to the cancerous ones, while the myogenic (0.2–0.06 Hz) oscillation did not demonstrate any statistically significant difference. Our results demonstrate that a fibre-optic TEF probe accompanied with ML algorithms such as k-Nearest Neighbours or AdaBoost is highly promising for the real-time in situ differentiation between cancerous and healthy tissues by detecting the information about the tissue type that is encoded in the fluorescence spectrum. Also, we show that the detection can be supplemented and enhanced by parallel collection and classification of blood perfusion oscillations.

Providing efficient support for real-time guarantees in a fibre-optic AWG-based network for embedded systems

2017 ◽  
Vol 24 ◽  
pp. 47-56 ◽  
Author(s):  
Kristina Kunert ◽  
Magnus Jonsson ◽  
Annette Böhm ◽  
Tomas Nordström
Keyword(s):  
Embedded Systems ◽  
Real Time ◽  
Fibre Optic
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