Blind deconvolution of ultrasound images

Udantha Abeyratne; Athina P. Petropulu; John M. Reid

doi:10.1117/12.190832

28 October 1994 Blind deconvolution of ultrasound images

Udantha Abeyratne, Athina P. Petropulu, John M. Reid

Proceedings Volume 2296, Advanced Signal Processing: Algorithms, Architectures, and Implementations V; (1994) https://doi.org/10.1117/12.190832
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

We address the problem of improving the resolution of ultrasound images using blind deconvolution. The transducer measurement, that forms the ultrasound image, can be expressed as the convolution of two terms, the tissue response and the ultrasonic system response, plus additive noise. The quantity of interest is the tissue response, however, due to the convolution operation, we measure a blurred version of it, which obscures the fine details in the image. Our goal is to remove the blurring caused by the ultrasonic system, in order to enhance the diagnostic quality of the ultrasound image. Under the assumption that speckle behaves as an i.i.d. zero-mean non-Gaussian process, we were able to reconstruct the blurring kernel using bicepstrum operations on corresponding A-scan lines. Based on the estimated blurring kernel we performed deconvolution on the measured image. Preliminary results obtained from ultrasound images of a tissue mimicking phantom indicate significant resolution improvement.

Citation Download Citation

Udantha Abeyratne, Athina P. Petropulu, and John M. Reid "Blind deconvolution of ultrasound images", Proc. SPIE 2296, Advanced Signal Processing: Algorithms, Architectures, and Implementations V, (28 October 1994); https://doi.org/10.1117/12.190832

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