Project Details
Description
In the presented work a method of optical tomography is introduced which is suitable for investigating diffuse objects, for example soft human tissues, to detect inhomogeneities having deviating absorption- and scattering properties, respectively, compared to the surrounding volume.
Intensity modulated near infrared light, is coupled into the surface of the object and is picked up amplitude damped and phase shifted at a different surface location. The set of amplitude ratios and phase differences obtained by various such geometrically distributed measurements create a record which becomes a part of a system of equations to be approximately solved by inversion. A scan-head, which guides the attached optical source- and detector fiber over the surface, was developed to easily collect the desired set of records. The number and the geometrical distribution of the pickup locations was optimized for the setup and various investigated objects. Eventually a mathematical method was developed to obtain slice images to localize potential inclusions by justifiable effort, this turned out to be possible for certain geometries and optical properties of tested probes.
The first part explains in detail the theory of light propagation in turbid media and methods are evolved to obtain utilizable information of the inner structure of a probe.
Finally finite elements simulations of probes containing various inclusions are performed as well as real measurements of similar probes to be compared with each other. The work concludes by discussing the applicability of this system in real-life measurements and arising problems.
| Status | Finished |
|---|---|
| Effective start/end date | 01.09.2001 → 24.11.2005 |
Fields of science
- 202039 Theoretical electrical engineering
- 202016 Electrical engineering
- 202027 Mechatronics
- 202037 Signal processing
- 202015 Electronics
- 202036 Sensor systems
- 202014 Electromagnetism
- 202024 Laser technology
- 202 Electrical Engineering, Electronics, Information Engineering
- 202012 Electrical measurement technology
- 202022 Information technology
- 202021 Industrial electronics
- 103021 Optics
- 203016 Measurement engineering
- 211908 Energy research
- 102003 Image processing
- 101014 Numerical mathematics
JKU Focus areas
- Digital Transformation