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Deconvolution-based deblurring of reconstructed images in photoacoustic/thermoacoustic tomography

Rejesh, Nadaparambil Aravindakshan and Pullagurla, Harish and Pramanik, Manojit (2013) Deconvolution-based deblurring of reconstructed images in photoacoustic/thermoacoustic tomography. In: JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 30 (10). pp. 1994-2001.

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Official URL: http://dx.doi.org/10.1364/JOSAA.30.001994

Abstract

Photoacoustic/thermoacoustic tomography is an emerging hybrid imaging modality combining optical/microwave imaging with ultrasound imaging. Here, a k-wave MATLAB toolbox was used to simulate various configurations of excitation pulse shape, width, transducer types, and target object sizes to see their effect on the photoacoustic/thermoacoustic signals. A numerical blood vessel phantom was also used to demonstrate the effect of various excitation pulse waveforms and pulse widths on the reconstructed images. Reconstructed images were blurred due to the broadening of the pressure waves by the excitation pulse width as well as by the limited transducer bandwidth. The blurring increases with increase in pulse width. A deconvolution approach is presented here with Tikhonov regularization to correct the photoacoustic/thermoacoustic signals, which resulted in improved reconstructed images by reducing the blurring effect. It is observed that the reconstructed images remain unaffected by change in pulse widths or pulse shapes, as well as by the limited bandwidth of the ultrasound detectors after the use of the deconvolution technique. (C) 2013 Optical Society of America

Item Type: Journal Article
Publication: JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION
Publisher: OPTICAL SOC AMER
Additional Information: copyright for this article belongs to OPTICAL SOC AMER
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 13 Nov 2013 10:53
Last Modified: 03 Nov 2018 10:47
URI: http://eprints.iisc.ac.in/id/eprint/47750

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