TY - JOUR
T1 - Digital-signal-processor-based dynamic imaging system for optical tomography
AU - Lasker, Joseph M.
AU - Masciotti, James M.
AU - Schoenecker, Matthew
AU - Schmitz, Christoph H.
AU - Hielscher, Andreas H.
N1 - Funding Information:
This work was supported in part by funds from the National Institutes of Arthritis and Musculoskeletal and Skin Diseases (NIAMS Grant 2RO1 AR46255), which is part of the National Institutes of Health (NIH). Furthermore, we would like to thank Yang Li for his contributions to the LABVIEW and microcontroller programing, Chris Fong for debugging the illumination layout and running the image reconstruction algorithms for the phantom-measurement data, and Randall Barbour for making his resources available as needed.
PY - 2007
Y1 - 2007
N2 - In this article, we introduce a dynamic optical tomography system that is, unlike currently available analog instrumentation, based on digital data acquisition and filtering techniques. At the core of this continuous wave instrument is a digital signal processor (DSP) that collects, collates, processes, and filters the digitized data set. The processor is also responsible for managing system timing and the imaging routines which can acquire real-time data at rates as high as 150 Hz. Many of the synchronously timed processes are controlled by a complex programable logic device that is also used in conjunction with the DSP to orchestrate data flow. The operation of the system is implemented through a comprehensive graphical user interface designed with LABVIEW software which integrates automated calibration, data acquisition, data organization, and signal postprocessing. Performance analysis demonstrates very low system noise (∼1 pW rms noise equivalent power), excellent signal precision (<0.04%-0.2%) and long term system stability (<1% over 40 min). A large dynamic range (∼190 dB) accommodates a wide scope of measurement geometries and tissue types. First experiments on tissue phantoms show that dynamic behavior is accurately captured and spatial location can be correctly tracked using this system.
AB - In this article, we introduce a dynamic optical tomography system that is, unlike currently available analog instrumentation, based on digital data acquisition and filtering techniques. At the core of this continuous wave instrument is a digital signal processor (DSP) that collects, collates, processes, and filters the digitized data set. The processor is also responsible for managing system timing and the imaging routines which can acquire real-time data at rates as high as 150 Hz. Many of the synchronously timed processes are controlled by a complex programable logic device that is also used in conjunction with the DSP to orchestrate data flow. The operation of the system is implemented through a comprehensive graphical user interface designed with LABVIEW software which integrates automated calibration, data acquisition, data organization, and signal postprocessing. Performance analysis demonstrates very low system noise (∼1 pW rms noise equivalent power), excellent signal precision (<0.04%-0.2%) and long term system stability (<1% over 40 min). A large dynamic range (∼190 dB) accommodates a wide scope of measurement geometries and tissue types. First experiments on tissue phantoms show that dynamic behavior is accurately captured and spatial location can be correctly tracked using this system.
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U2 - 10.1063/1.2769577
DO - 10.1063/1.2769577
M3 - Article
C2 - 17764328
AN - SCOPUS:34548409616
SN - 0034-6748
VL - 78
JO - Review of Scientific Instruments
JF - Review of Scientific Instruments
IS - 8
M1 - 083706
ER -