You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
21 November 2001Terahertz imaging of biological tissue using a chirped probe pulse
Bradley Ferguson,1 Shaohong Wang,2 Douglas A. Gray,1 Derek Abbott,3 Xi-Cheng Zhang2
1Adelaide Univ. and CRC for Sensor, Signal and Information Processing (Australia) 2Rensselaer Polytechnic Institute (United States) 3Adelaide Univ. (Australia)
There is increasing interest among research groups around the world in the terahertz portion of the electromagnetic spectrum. T-ray systems, driven by ultrafast THz pulses, offer a number of unique advantages over other techniques and are under investigation for a wide range of applications. Biomedical diagnostics is an area of particular emphasis. The sub-millimetre spectroscopic measurements obtained from T-ray systems contain a wealth of information about the sample under test. A number of hurdles, however, hinder the application of T-ray technology. One of the major hurdles to be overcome is the slow acquisition speed of modern THz systems. The chirped probe pulse technique offers a significant improvement in this context. We present results demonstrating the terahertz responses of biological samples measured using a chirped probe pulse, and discuss the problem of data processing and extracting sample characteristics. We show that different types of tissue can be classified based on their terahertz response measured with the chirped probe pulse technique. We consider chicken and beef samples and differentiate between bone and normal tissue. We demonstrate the performance of linear filter models for feature extraction and show that these models are significantly more accurate than a number of intuitive features.
The alert did not successfully save. Please try again later.
Bradley Ferguson, Shaohong Wang, Douglas A. Gray, Derek Abbott, Xi-Cheng Zhang, "Terahertz imaging of biological tissue using a chirped probe pulse," Proc. SPIE 4591, Electronics and Structures for MEMS II, (21 November 2001); https://doi.org/10.1117/12.449147