A robust modified delay-and-sum algorithm for photoacoustic tomography imaging with apodized sensors

Role of sensor sensitivity in photoacoustic tomography (PAT) imaging is discussed. In this study, sensitivity profile (apodization) of nite size sensors was considered as axisymmetric and modelled by using a Gaussian function. The full width at half maximum (FWHM) of the Gaussian function was varie...

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Main Authors: Warbal, Pankaj, Pramanik, Manojit, Saha, Ratan K.
Other Authors: School of Chemical and Biomedical Engineering
Format: Conference Paper
Language:English
Published: 2019
Subjects:
Online Access:https://hdl.handle.net/10356/92442
http://hdl.handle.net/10220/49754
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author Warbal, Pankaj
Pramanik, Manojit
Saha, Ratan K.
author2 School of Chemical and Biomedical Engineering
author_facet School of Chemical and Biomedical Engineering
Warbal, Pankaj
Pramanik, Manojit
Saha, Ratan K.
author_sort Warbal, Pankaj
collection NTU
description Role of sensor sensitivity in photoacoustic tomography (PAT) imaging is discussed. In this study, sensitivity profile (apodization) of nite size sensors was considered as axisymmetric and modelled by using a Gaussian function. The full width at half maximum (FWHM) of the Gaussian function was varied in order to investigate its e ect on PAT image reconstruction. The images were reconstructed using conventional delay-and-sum (CDAS) and modi ed delay-and-sum (MDAS) algorithms. In case of the CDAS, a Gaussian function was used to weight the PA signals detected by di erent parts of the sensor and the resultant signal was computed by summing those signals. However, in case of the MDAS, the Gaussian weight was applied in both directions (signal acquisition and redistribution of the pressure values at di erent point locations on the aperture of the nite sensor). The performance of these algorithms was investigated with respect to ideal point detectors by conducting numerical experiments in the k-Wave toolbox. The results for the CDAS and the MDAS algorithms are found to be very close to that of ideal point detectors when FWHM is small. The MDAS technique appears to be much superior to the CDAS approach when FWHM is large. The MDAS method can be employed in practice for apodized transducers as well if the Gaussian weight is applied in both directions (signal acquisition and redistribution).
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spelling ntu-10356/924422023-12-29T06:44:01Z A robust modified delay-and-sum algorithm for photoacoustic tomography imaging with apodized sensors Warbal, Pankaj Pramanik, Manojit Saha, Ratan K. School of Chemical and Biomedical Engineering Opto-Acoustic Methods and Applications in Biophotonics IV Apodization Engineering::Chemical engineering Photoacoustic Tomography Role of sensor sensitivity in photoacoustic tomography (PAT) imaging is discussed. In this study, sensitivity profile (apodization) of nite size sensors was considered as axisymmetric and modelled by using a Gaussian function. The full width at half maximum (FWHM) of the Gaussian function was varied in order to investigate its e ect on PAT image reconstruction. The images were reconstructed using conventional delay-and-sum (CDAS) and modi ed delay-and-sum (MDAS) algorithms. In case of the CDAS, a Gaussian function was used to weight the PA signals detected by di erent parts of the sensor and the resultant signal was computed by summing those signals. However, in case of the MDAS, the Gaussian weight was applied in both directions (signal acquisition and redistribution of the pressure values at di erent point locations on the aperture of the nite sensor). The performance of these algorithms was investigated with respect to ideal point detectors by conducting numerical experiments in the k-Wave toolbox. The results for the CDAS and the MDAS algorithms are found to be very close to that of ideal point detectors when FWHM is small. The MDAS technique appears to be much superior to the CDAS approach when FWHM is large. The MDAS method can be employed in practice for apodized transducers as well if the Gaussian weight is applied in both directions (signal acquisition and redistribution). Published version 2019-08-23T01:39:10Z 2019-12-06T18:23:21Z 2019-08-23T01:39:10Z 2019-12-06T18:23:21Z 2019-07-01 2019 Conference Paper Warbal, P., Pramanik, M., & Saha, R. K. (2019). A robust modified delay-and-sum algorithm for photoacoustic tomography imaging with apodized sensors. Opto-Acoustic Methods and Applications in Biophotonics IV. doi:10.1117/12.2527025 214747 https://hdl.handle.net/10356/92442 http://hdl.handle.net/10220/49754 10.1117/12.2527025 214747 en © 2019 Society of Photo-optical Instrumentation Engineers (SPIE). All rights reserved. This paper was published in Opto-Acoustic Methods and Applications in Biophotonics IV and is made available with permission of Society of Photo-optical Instrumentation Engineers (SPIE). 9 p. application/pdf
spellingShingle Apodization
Engineering::Chemical engineering
Photoacoustic Tomography
Warbal, Pankaj
Pramanik, Manojit
Saha, Ratan K.
A robust modified delay-and-sum algorithm for photoacoustic tomography imaging with apodized sensors
title A robust modified delay-and-sum algorithm for photoacoustic tomography imaging with apodized sensors
title_full A robust modified delay-and-sum algorithm for photoacoustic tomography imaging with apodized sensors
title_fullStr A robust modified delay-and-sum algorithm for photoacoustic tomography imaging with apodized sensors
title_full_unstemmed A robust modified delay-and-sum algorithm for photoacoustic tomography imaging with apodized sensors
title_short A robust modified delay-and-sum algorithm for photoacoustic tomography imaging with apodized sensors
title_sort robust modified delay and sum algorithm for photoacoustic tomography imaging with apodized sensors
topic Apodization
Engineering::Chemical engineering
Photoacoustic Tomography
url https://hdl.handle.net/10356/92442
http://hdl.handle.net/10220/49754
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