Journal
JOURNAL OF BIOMEDICAL OPTICS
Volume 16, Issue 10, Pages -Publisher
SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
DOI: 10.1117/1.3642002
Keywords
terahertz imaging; in vivo; reflection spectroscopy; wavelet denoising; sparse deconvolution
Funding
- Research Grants Council of the Hong Kong Government [419609]
- Shun Hing Institute of Advanced Engineering, Hong Kong
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This paper presents a number of data processing algorithms developed to improve the accuracy of results derived from datasets acquired by a recently designed terahertz handheld probe. These techniques include a baseline subtraction algorithm and a number of algorithms to extract the sample impulse response: double Gaussian inverse filtering, frequency-wavelet domain deconvolution, and sparse deconvolution. In vivo measurements of human skin are used as examples, and a comparison is made of the terahertz impulse response from a number of different skin positions. The algorithms presented enables both the spectroscopic and time domain properties of samples measured in reflection geometry to be better determined compared to previous calculation methods. (C) 2011 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.3642002]
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