Development of a dynamic optical tomographic breast imaging system with digital detection techniques

Molly L. Flexman; James M. Masciotti; Michael Khalil; Alisha Ling; Rabah Al Abdi; Randall L. Barbour; Andreas H. Hielscher

doi:10.1117/12.809153

23 February 2009 Development of a dynamic optical tomographic breast imaging system with digital detection techniques

Molly L. Flexman, James M. Masciotti, Michael Khalil, Alisha Ling, Rabah Al Abdi, Randall L. Barbour, Andreas H. Hielscher

Author Affiliations +

Proceedings Volume 7174, Optical Tomography and Spectroscopy of Tissue VIII; 71740N (2009) https://doi.org/10.1117/12.809153
Event: SPIE BiOS, 2009, San Jose, California, United States

Abstract

Breast cancer characteristics such as angiogenesis and hypoxia can be quantified by using optical tomography imaging to observe the hemodynamic response to an external stimulus. A digital near-infrared tomography system has been developed specifically for the purpose of dynamic breast imaging. It simultaneously acquires four frequency encoded wavelengths of light at 765, 808, 827, and 905nm in order to facilitate the functional imaging of oxy- and deoxy-hemoglobin, lipid concentration and water content. The system uses 32 source fibers to simultaneously illuminate both breasts. There are 128 detector fibers, 64 fibers for each breast, which deliver the detected light to silicon photo-detectors. The signal is conditioned by variable gain amplifiers and filters and is quantized by an analog to digital converter (ADC). The sampled signal is then passed on for processing using a Digital Signal Processor (DSP) prior to display on a host computer. The system can acquire 2.23 frames per second with a dynamic range of 236 dB.

Citation Download Citation

Molly L. Flexman, James M. Masciotti, Michael Khalil, Alisha Ling, Rabah Al Abdi, Randall L. Barbour, and Andreas H. Hielscher "Development of a dynamic optical tomographic breast imaging system with digital detection techniques", Proc. SPIE 7174, Optical Tomography and Spectroscopy of Tissue VIII, 71740N (23 February 2009); https://doi.org/10.1117/12.809153

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KEYWORDS

Digital signal processing

Imaging systems

Breast

Signal processing

Optical fibers

Signal detection

Breast cancer

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