ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Convergent Born series improves the accuracy of numerical solution of time-independent photoacoustic wave equation

Kaushik, A and Yalavarthy, PK and Saha, RK (2020) Convergent Born series improves the accuracy of numerical solution of time-independent photoacoustic wave equation. In: Journal of Modern Optics, 67 (9). pp. 849-855.

[img] PDF
JOU_MOD_OPT_67_9_849-855_2020.pdf - Published Version
Restricted to Registered users only

Download (1MB) | Request a copy
Official URL: https://dx.doi.org/10.1080/09500340.2020.1777334

Abstract

This work presents two variants of Born-series methods, for the first time, providing a numerical solution to the time-independent photoacoustic wave equation. These methods are effective in providing accurate solution even when there is a mismatch in speed-of-sound between the source and the ambient region. The traditional Born-series (TBS) and convergent Born-series (CBS) methods have been systematically compared for a test imaging case. The solution was computed keeping speed-of-sound outside the source as constant (1500 m/s) and varying the same quantity from 1950 to 1200 m/s inside the source (a disc with 5 μm radius) over a large frequency band (7�2000 MHz). The TBS method fails to converge when the variation in the speed-of-sound is approximately (Formula presented.) or (Formula presented.) . The CBS method provides the required robust numerical solution even in case of mismatch in speed-of-sound in various regions of imaging domain. © 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group.

Item Type: Editorials/Short Communications
Publication: Journal of Modern Optics
Publisher: Taylor and Francis Ltd.
Additional Information: Copy right for this article belongs to Taylor and Francis Ltd.
Keywords: Acoustic wave velocity; Electric circuit breakers; Wave equations, Born series; CBS method; Numerical solution; Photoacoustic wave; Time independents, Numerical methods
Department/Centre: Division of Interdisciplinary Sciences > Computational and Data Sciences
Date Deposited: 27 Nov 2020 11:44
Last Modified: 27 Nov 2020 11:44
URI: http://eprints.iisc.ac.in/id/eprint/66050

Actions (login required)

View Item View Item