Multi-energy method of digital radiography for imaging of biological objects

V. D. Ryzhikov; S. V. Naydenov; O. D. Opolonin; V. G. Volkov; C. F. Smith

doi:10.1117/12.2214626

30 March 2016 Multi-energy method of digital radiography for imaging of biological objects

V. D. Ryzhikov, S. V. Naydenov, O. D. Opolonin, V. G. Volkov, C. F. Smith

Proceedings Volume 9783, Medical Imaging 2016: Physics of Medical Imaging; 978348 (2016) https://doi.org/10.1117/12.2214626
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

This work has been dedicated to the search for a new possibility to use multi-energy digital radiography (MER) for medical applications. Our work has included both theoretical and experimental investigations of 2-energy (2E) and 3- energy (3Е) radiography for imaging the structure of biological objects. Using special simulation methods and digital analysis based on the X-ray interaction energy dependence for each element of importance to medical applications in the X-ray range of energy up to 150 keV, we have implemented a quasi-linear approximation for the energy dependence of the X-ray linear mass absorption coefficient μ_m (E) that permits us to determine the intrinsic structure of the biological objects. Our measurements utilize multiple X-ray tube voltages (50, 100, and 150 kV) with Al and Cu filters of different thicknesses to achieve 3-energy X-ray examination of objects. By doing so, we are able to achieve significantly improved imaging quality of the structure of the subject biological objects. To reconstruct and visualize the final images, we use both two-dimensional (2D) and three-dimensional (3D) palettes of identification. The result is a 2E and/or 3E representation of the object with color coding of each pixel according to the data outputs. Following the experimental measurements and post-processing, we produce a 3Е image of the biological object – in the case of our trials, fragments or parts of chicken and turkey.

Citation Download Citation

V. D. Ryzhikov, S. V. Naydenov, O. D. Opolonin, V. G. Volkov, and C. F. Smith "Multi-energy method of digital radiography for imaging of biological objects", Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 978348 (30 March 2016); https://doi.org/10.1117/12.2214626

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