A graphical user interface (GUI) for model-based radiation-induced acoustic computed tomography

Radiation-induced acoustic computed tomography (RACT) is an evolving biomedical imaging modality that aims to reconstruct the radiation energy deposition in tissues. Traditional back-projection (BP) reconstructions carry noisy and limited-view artifacts. Model-based algorithms have been demonstrated...

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Main Authors: Michelle Simon, Prabodh Kumar Pandey, Leshan Sun, Liangzhong Xiang
Format: Article
Language:English
Published: World Scientific Publishing 2023-01-01
Series:Journal of Innovative Optical Health Sciences
Subjects:
Online Access:https://www.worldscientific.com/doi/10.1142/S1793545822450043
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author Michelle Simon
Prabodh Kumar Pandey
Leshan Sun
Liangzhong Xiang
author_facet Michelle Simon
Prabodh Kumar Pandey
Leshan Sun
Liangzhong Xiang
author_sort Michelle Simon
collection DOAJ
description Radiation-induced acoustic computed tomography (RACT) is an evolving biomedical imaging modality that aims to reconstruct the radiation energy deposition in tissues. Traditional back-projection (BP) reconstructions carry noisy and limited-view artifacts. Model-based algorithms have been demonstrated to overcome the drawbacks of BPs. However, model-based algorithms are relatively more complex to develop and computationally demanding. Furthermore, while a plethora of novel algorithms has been developed over the past decade, most of these algorithms are either not accessible, readily available, or hard to implement for researchers who are not well versed in programming. We developed a user-friendly MATLAB-based graphical user interface (GUI; RACT2D) that facilitates back-projection and model-based image reconstructions for two-dimensional RACT problems. We included numerical and experimental X-ray-induced acoustic datasets to demonstrate the capabilities of the GUI. The developed algorithms support parallel computing for evaluating reconstructions using the cores of the computer, thus further accelerating the reconstruction speed. We also share the MATLAB-based codes for evaluating RACT reconstructions, which users with MATLAB programming expertise can further modify to suit their needs. The shared GUI and codes can be of interest to researchers across the globe and assist them in efficient evaluation of improved RACT reconstructions.
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spelling doaj.art-d86c95c6cbad46ae9fb7e2d4a488a8f52023-03-24T02:42:27ZengWorld Scientific PublishingJournal of Innovative Optical Health Sciences1793-54581793-72052023-01-01160110.1142/S1793545822450043A graphical user interface (GUI) for model-based radiation-induced acoustic computed tomographyMichelle Simon0Prabodh Kumar Pandey1Leshan Sun2Liangzhong Xiang3Department of Biomedical Engineering, Samueli School of Engineering, University of California, Irvine, CA 92617, USADepartment of Radiological Sciences, School of Medicine, University of California, Irvine, CA 92697, USADepartment of Biomedical Engineering, Samueli School of Engineering, University of California, Irvine, CA 92617, USADepartment of Biomedical Engineering, Samueli School of Engineering, University of California, Irvine, CA 92617, USARadiation-induced acoustic computed tomography (RACT) is an evolving biomedical imaging modality that aims to reconstruct the radiation energy deposition in tissues. Traditional back-projection (BP) reconstructions carry noisy and limited-view artifacts. Model-based algorithms have been demonstrated to overcome the drawbacks of BPs. However, model-based algorithms are relatively more complex to develop and computationally demanding. Furthermore, while a plethora of novel algorithms has been developed over the past decade, most of these algorithms are either not accessible, readily available, or hard to implement for researchers who are not well versed in programming. We developed a user-friendly MATLAB-based graphical user interface (GUI; RACT2D) that facilitates back-projection and model-based image reconstructions for two-dimensional RACT problems. We included numerical and experimental X-ray-induced acoustic datasets to demonstrate the capabilities of the GUI. The developed algorithms support parallel computing for evaluating reconstructions using the cores of the computer, thus further accelerating the reconstruction speed. We also share the MATLAB-based codes for evaluating RACT reconstructions, which users with MATLAB programming expertise can further modify to suit their needs. The shared GUI and codes can be of interest to researchers across the globe and assist them in efficient evaluation of improved RACT reconstructions.https://www.worldscientific.com/doi/10.1142/S1793545822450043Radiation-induced acoustic computed tomography (RACT)image reconstructiongraphical user interface (GUI)photoacoustic tomography
spellingShingle Michelle Simon
Prabodh Kumar Pandey
Leshan Sun
Liangzhong Xiang
A graphical user interface (GUI) for model-based radiation-induced acoustic computed tomography
Journal of Innovative Optical Health Sciences
Radiation-induced acoustic computed tomography (RACT)
image reconstruction
graphical user interface (GUI)
photoacoustic tomography
title A graphical user interface (GUI) for model-based radiation-induced acoustic computed tomography
title_full A graphical user interface (GUI) for model-based radiation-induced acoustic computed tomography
title_fullStr A graphical user interface (GUI) for model-based radiation-induced acoustic computed tomography
title_full_unstemmed A graphical user interface (GUI) for model-based radiation-induced acoustic computed tomography
title_short A graphical user interface (GUI) for model-based radiation-induced acoustic computed tomography
title_sort graphical user interface gui for model based radiation induced acoustic computed tomography
topic Radiation-induced acoustic computed tomography (RACT)
image reconstruction
graphical user interface (GUI)
photoacoustic tomography
url https://www.worldscientific.com/doi/10.1142/S1793545822450043
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