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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Bibliographic Details
Published in:Journal of innovative optical health science 2023-01, Vol.16 (1)
Main Authors: Simon, Michelle, Pandey, Prabodh Kumar, Sun, Leshan, Xiang, Liangzhong
Format: Article
Language:English
Subjects:
Acoustics
Algorithms
Computed tomography
Graphical user interface
graphical user interface (GUI)
Image reconstruction
Matlab
Medical imaging
photoacoustic tomography
Radiation
Radiation effects
Radiation-induced acoustic computed tomography (RACT)
Research Article
Tomography
User interface
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Summary: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.
ISSN:1793-5458
1793-7205
DOI:10.1142/S1793545822450043