Detection of teeth surface defects using fiber optic displacement sensor / Adi Izhar Che Ani
Fiber optic displacement sensor has been used recently for general medical diagnostics and in industry for the characterization and detection of defects in engineering components. However the lack of understanding of parameter performance of such a sensor in teeth has largely precluded its applic...
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| Format: | Thesis |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://studentsrepo.um.edu.my/7812/4/DETECTION_OF_TEETH_SURFACE_DEFECTS_USING_FIBER_OPTIC_DISPLACEMENT_SENSOR.pdf http://studentsrepo.um.edu.my/7812/ |
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| Institution: | Universiti Malaya |
| Summary: | Fiber optic displacement sensor has been used recently for general medical
diagnostics and in industry for the characterization and detection of defects in
engineering components. However the lack of understanding of parameter performance
of such a sensor in teeth has largely precluded its application to dentistry. This research
describes sensor system adopting an intensity modulation technique that used a
concentric type bundled optical fiber as a probe in conjunction with the real teeth,
artificial teeth, hybrid composite resin teeth and mirror as the reflecting targets. The
performance of the sensor is investigated on the linear range, sensitivity and the peak
position. In this experiment, the sensor system is used for detecting defect on real teeth.
A 2 mm hole is drilled to create defect on the teeth surface to stimulate dental cavity.
The sensor probe is consequently fixed within the linear range of the displacement and
the intensity of the collected light as a function of lateral movement (x and y axis) of the
teeth surface is recorded while being maintained in perpendicular and constant in axial
position (z axis). The image surface of the defect teeth is reconstructed from the
recorded output voltage using the MATLAB software. This method is practically
suitable when used in conjunction with a micro-computed tomography system in
determining the defect of surface profile of a 3D tomography object being inspected
prior to the image reconstruction. |
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