Tissue-Equivalent Phantoms Recognition Employing Hyperspectral Imaging
Abdlaty, R., Deng, S. (2018). Tissue-Equivalent Phantoms Recognition Employing Hyperspectral Imaging. EKB Journal Management System, 11(11th International Conference on Electrical Engineering ICEENG 2018), 1-11. doi: 10.21608/iceeng.2018.30242
Ramy Abdlaty; Shirley Deng. "Tissue-Equivalent Phantoms Recognition Employing Hyperspectral Imaging". EKB Journal Management System, 11, 11th International Conference on Electrical Engineering ICEENG 2018, 2018, 1-11. doi: 10.21608/iceeng.2018.30242
Abdlaty, R., Deng, S. (2018). 'Tissue-Equivalent Phantoms Recognition Employing Hyperspectral Imaging', EKB Journal Management System, 11(11th International Conference on Electrical Engineering ICEENG 2018), pp. 1-11. doi: 10.21608/iceeng.2018.30242
Abdlaty, R., Deng, S. Tissue-Equivalent Phantoms Recognition Employing Hyperspectral Imaging. EKB Journal Management System, 2018; 11(11th International Conference on Electrical Engineering ICEENG 2018): 1-11. doi: 10.21608/iceeng.2018.30242

Tissue-Equivalent Phantoms Recognition Employing Hyperspectral Imaging

The International Conference on Electrical Engineering
Article 53, Volume 11, 11th International Conference on Electrical Engineering ICEENG 2018, April 2018, Page 1-11  XML PDF (461.16 K)
Document Type: Original Article
DOI: 10.21608/iceeng.2018.30242
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Authors
Ramy Abdlaty1; Shirley Deng2
1Egyptian Armed Forces.
2Faculty of Health sciences, McMaster University, Ontario, Canada.
Abstract
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.
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