Title :
Doppler Spectrogram Calculation Using CFFT Algorithm in a Digital Signal Processor Based System
Author :
Balasubramaniam, D. ; Nedumaran, D.
Author_Institution :
Central Instrum. & Service Lab., Univ. of Madras, Chennai
Abstract :
Most of the clinical indices of blood flow are estimated from the spectrograms of Doppler ultrasound (DUS) signals. Any noise may degrade the readability of the spectrogram and the precision of the clinical indices, so the spectral augmentation plays an important role in the calculation of DUS spectrum. The proposed design employed complex fast Fourier transform (CFFT), in a digital signal processor (DSP) (TMS320C6711 DSK) based biomedical signal processing system, which results in reduction of computational time as well as processing time, since conventional methods involve FFT and Hilbert transform techniques. Also, this system has been designed as open research platform, which can be programmable with a variety of novel algorithms like Gabor and wavelet techniques for studying improved and resolved spectrograms to obtain accurate diagnostic details in the future.
Keywords :
Doppler measurement; Hilbert transforms; digital signal processing chips; fast Fourier transforms; medical signal processing; patient diagnosis; spectroscopy; DSP; Doppler spectrogram calculation; Doppler ultrasound signals; Gabor techniques; Hilbert transform techniques; biomedical signal processing system; complex fast Fourier transform; digital signal processor based system; spectral augmentation; wavelet techniques; Biomedical signal processing; Blood flow; Degradation; Digital signal processing; Digital signal processors; Fast Fourier transforms; Signal design; Signal processing algorithms; Spectrogram; Ultrasonic imaging; CFFT; DUS; FFT; Spectrogram; TMS320C6711 DSK;
Conference_Titel :
Modelling & Simulation, 2009. AMS '09. Third Asia International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4244-4154-9
Electronic_ISBN :
978-0-7695-3648-4
DOI :
10.1109/AMS.2009.60
