NDLI: Ultrasound image reconstruction using the finite-rate-of-innovation principle

Content Provider	IEEE Xplore Digital Library
Author	Mulleti, Satish Nagesh, Sudarshan Langoju, Rajesh Patil, Abhijit Seelamantula, Chandra Sekhar
Copyright Year	2014
Description	Author affiliation: General Electrical Global Research Centre, Bangalore, Karnataka, India (Langoju, Rajesh; Patil, Abhijit) \|\| Department of Electrical Engineering, Indian Institute of Science, Bangalore - 560012, Karnataka, India (Mulleti, Satish; Nagesh, Sudarshan; Seelamantula, Chandra Sekhar)
Abstract	Recently, a method of finding the spectral samples of non-periodic-finite-rate-of-innovation (NP-FRI) signals using a sum-of-sincs (SoS) sampling kernel was proposed in the literature. In the SoS approach, the kernel is repeated at a rate dependent on the delays of the FRI signal. The number of repetitions depends on both the duration and the delays of pulses constituting the FRI signal. In this paper, we show that the kernel repetition can be avoided and perfect reconstruction can be obtained by working with the SoS kernel directly provided that certain sampling criteria are satisfied. We place a lower bound on the sampling rate to ensure that exact signal reconstruction is achieved using filtered samples. To suppress the effect of noise, we use Cadzow denoising technique. Reconstruction is achieved using the annihilating filter method. We report results on data simulated using Field II software as well as real cardiac ultrasound data. The experimental results show that, with nearly 10 times less data than that required by the standard technique, the proposed method gives a comparable quality of reconstruction. The reconstruction accuracy can be controlled by choosing the model order of the NP-FRI signal appropriately.
Starting Page	1728
Ending Page	1732
File Size	907964
Page Count	5
File Format	PDF
ISBN	9781479957514
DOI	10.1109/ICIP.2014.7025346
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-27
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image reconstruction Kernel Ultrasonic imaging Technological innovation Delays Noise Imaging sum-of-sincs kernel Finite rate of innovation ultrasound imaging annihilating filter Cadzow denoising
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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