Abstract

A 2D tomographic terahertz imaging set-up using a single pixel imaging approach is realized, where a liquid helium cooled bolometer is utilized as a bucket detector and a mercury-arc lamp serves as a broadband terahertz source. The different patterns of the terahertz radiation, which are necessary for the single pixel imaging approach, are realized by spatially addressed photodoping of a high resistivity float zone silicon window, employing a near-infrared laser diode, which is spatially modulated by a digital micromirror device. The two investigated sample objects have cylindrical and cuboid shapes and consist of polypropylene. Both sample shapes cause strong influences of refraction, reflection and diffraction, which distort the measured projections and thus have to be considered in the tomographic reconstruction. In order to consider these effects, a model is developed which combines refraction and diffraction effects by a hybrid approach using ray tracing and scalar diffraction theory yielding finally projections of the sample objects. These simulated projections are compared to the measured projections and show a good agreement between the experimental results and the developed model. In accordance with this result, an optimization problem is formulated, which offers an approach for tomographic reconstruction using the developed model.

Highlights

  • Terahertz imaging techniques are evolving towards excellent tools for a plurality of industrial as well as societal applications

  • The concept discussed in the previous section is applied to two dimensional tomographic imaging, for the investigation of cylindrical and cuboid shapes of sample objects consisting of polypropylene (PP)

  • A 2D terahertz tomography concept based on single pixel Hadamard imaging has been successfully realized, demonstrating that raster scanning of the object and multi-pixel detector are not mandatory

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Summary

Introduction

Terahertz imaging techniques are evolving towards excellent tools for a plurality of industrial as well as societal applications. Each of these imaging techniques provides its individual advantages and disadvantages, as for example multi-pixel detector arrays commonly increase the cost of the imaging system, but offer high frame rates of up to 450 frames per second [8] Another promising imaging method is the so-called ’single pixel camera’, which uses a non-spatially resolving ’bucket’ detector and does not require any mechanically raster scanning of the object. In order to realize an insight into a hidden object, rather than imaging a projection, tomographic reconstruction techniques can be applied This is useful in security applications and a plurality of industrial processes [15]. In order to improve the image quality and to incorporate optical effects a model based on ray tracing and scalar diffraction theory is developed With this model an optimization problem is formulated and thereby an object recognition is realized

Experimental set-up
19 DMD Pixel
Experimental results
Towards tomographic reconstruction using the developed model
Conclusion
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