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Multiple fan-beam optical tomography: modelling techniques.

Ruzairi Abdul Rahim¹, Leong Lai Chen, Chan Kok San

¹Process Tomography Research Group (PROTOM), Department of Control & Instrumentation Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia; E-Mail: kschan@istone.com.my (C.K.S.).

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Summary

This summary is machine-generated.

This research details solving forward and inverse problems in optical fibre sensing. Sensitivity maps from forward problem solutions are crucial for accurate tomographic image reconstruction.

Keywords:

optical tomography sensor modelling

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Area of Science:

Optical Physics
Sensor Technology
Tomography

Background:

Optical fibre sensors are increasingly used in various applications.
Understanding their behavior in complex systems is essential.
Tomographic imaging requires accurate sensor data and modeling.

Purpose of the Study:

To provide a detailed solution for the forward and inverse problems in optical fibre sensing research.
To explain the projection geometry and sensor modelling crucial for data interpretation.
To highlight the importance of sensitivity maps for tomographic image reconstruction.

Main Methods:

Detailed explanation of projection geometry, including sensor dimensions, distributions, and arrangements based on real hardware.
Sensor modelling approach to simulate an artificial environment with similar system properties.
Prediction of sensor values for various flow models within the hardware system.

Main Results:

The paper successfully outlines the methodology for solving forward and inverse problems.
Established the relationship between sensor configuration and projection geometry.
Demonstrated the process of sensor modelling for predicting system responses.
Generated sensitivity maps derived from forward problem solutions.

Conclusions:

The solutions presented for forward and inverse problems are vital for the research.
Sensor modelling and accurate projection geometry are key to predicting sensor values.
Sensitivity maps are indispensable for effective tomographic image reconstruction using optical fibre sensors.