Pursley, Randall H. ; Salem, Ghadi ; Devasahayam, Nallathamby ; Subramanian, Sankaran ; Koscielniak, Janusz ; Krishna Thomas J., Murali C. (2006) Integration of digital signal processing technologies with pulsed electron paramagnetic resonance imaging Journal of Magnetic Resonance, 178 (2). pp. 220-227. ISSN 0022-2364
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Official URL: http://www.sciencedirect.com/science/article/pii/S...
Related URL: http://dx.doi.org/10.1016/j.jmr.2005.10.001
Abstract
The integration of modern data acquisition and digital signal processing (DSP) technologies with Fourier transform electron paramagnetic resonance (FT-EPR) imaging at radiofrequencies (RF) is described. The FT-EPR system operates at a Larmor frequency (Lf) of 300 MHz to facilitate in vivo studies. This relatively low frequency Lf, in conjunction with our ~10 MHz signal bandwidth, enables the use of direct free induction decay time-locked subsampling (TLSS). This particular technique provides advantages by eliminating the traditional analog intermediate frequency downconversion stage along with the corresponding noise sources. TLSS also results in manageable sample rates that facilitate the design of DSP-based data acquisition and image processing platforms. More specifically, we utilize a high-speed field programmable gate array (FPGA) and a DSP processor to perform advanced real-time signal and image processing. The migration to a DSP-based configuration offers the benefits of improved EPR system performance, as well as increased adaptability to various EPR system configurations (i.e., software configurable systems instead of hardware reconfigurations). The required modifications to the FT-EPR system design are described, with focus on the addition of DSP technologies including the application-specific hardware, software, and firmware developed for the FPGA and DSP processor. The first results of using real-time DSP technologies in conjunction with direct detection bandpass sampling to implement EPR imaging at RF frequencies are presented.
Item Type: | Article |
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Source: | Copyright of this article belongs to Elsevier Science. |
Keywords: | EPR; TLSS; Fourier Transform; DSP; FPGA; Digital Signal Processing |
ID Code: | 51935 |
Deposited On: | 01 Aug 2011 07:36 |
Last Modified: | 01 Aug 2011 07:36 |
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