Abstract The incessant innovations, of hyperspectral imaging (HSI), and data mining algorithms, express the necessity for developing reliable assessment and comparison means. In medical applications of HSI, for instance, one of the means of assessment is tissueequivalent phantoms. These phantoms are designed to mimic the spectral behavior of the real living tissues. In this work, gel-based-phantoms are prepared with altered ingredients. The gel phantom’s ingredients include India ink, and Intralipid to provide absorption and scattering respectively. Unlike visual assessment, and photography, HSI for succeeded to identify the various phantoms based on its spectral signature. In conclusion, we introduce a simple method to evaluate the performance of newly developed optical imaging techniques including HSI via an affordable, inexpensive, and easy to make phantoms.
Abdlaty, R., & Deng, S. (2018). Tissue-Equivalent Phantoms Recognition Employing Hyperspectral Imaging. The International Conference on Electrical Engineering, 11(11th International Conference on Electrical Engineering ICEENG 2018), 1-11. doi: 10.21608/iceeng.2018.30242
MLA
Ramy Abdlaty; Shirley Deng. "Tissue-Equivalent Phantoms Recognition Employing Hyperspectral Imaging", The International Conference on Electrical Engineering, 11, 11th International Conference on Electrical Engineering ICEENG 2018, 2018, 1-11. doi: 10.21608/iceeng.2018.30242
HARVARD
Abdlaty, R., Deng, S. (2018). 'Tissue-Equivalent Phantoms Recognition Employing Hyperspectral Imaging', The International Conference on Electrical Engineering, 11(11th International Conference on Electrical Engineering ICEENG 2018), pp. 1-11. doi: 10.21608/iceeng.2018.30242
VANCOUVER
Abdlaty, R., Deng, S. Tissue-Equivalent Phantoms Recognition Employing Hyperspectral Imaging. The International Conference on Electrical Engineering, 2018; 11(11th International Conference on Electrical Engineering ICEENG 2018): 1-11. doi: 10.21608/iceeng.2018.30242
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