3 March 2014 Investigation of the adjoint-state method for ultrasound computed tomography: a numerical and experimental study
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Abstract
In this work, we investigate a novel reconstruction method for laser-induced ultrasound computed tomography (USCT) breast imaging that circumvents limitations of existing methods that rely on ray-tracing. There is currently great interest in developing hybrid imaging systems that combine optoacoustic tomography (OAT) and USCT. There are two primary motivations for this: (1) the speed-of-sound (SOS) distribution reconstructed by USCT can provide complementary diagnostic information; and (2) the reconstructed SOS distribution can be incorporated in the OAT reconstruction algorithm to improve OAT image quality. However, image reconstruction in USCT remains challenging. The majority of existing approaches for USCT breast imaging involve ray-tracing to establish the imaging operator. This process is cumbersome and can lead to inaccuracies in the reconstructed SOS images in the presence of multiple ray-paths and/or shadow zones. To circumvent these problems, we implemented a partial differential equation-based Eulerian approach to USCT that was proposed in the mathematics literature but never investigated for medical imaging applications. This method operates by directly inverting the Eikonal equation without ray-tracing. A numerical implementation of this method was developed and compared to existing reconstruction methods for USCT breast imaging. We demonstrated the ability of the new method to reconstruct SOS maps from TOF data obtained by a hybrid OAT/USCT imager built by our team.
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Fatima Anis, Fatima Anis, Yang Lou, Yang Lou, André Conjusteau, André Conjusteau, Richard Su, Richard Su, Tanmayi Oruganti, Tanmayi Oruganti, Sergey A. Ermilov, Sergey A. Ermilov, Alexander A. Oraevsky, Alexander A. Oraevsky, Mark A. Anastasio, Mark A. Anastasio, } "Investigation of the adjoint-state method for ultrasound computed tomography: a numerical and experimental study", Proc. SPIE 8943, Photons Plus Ultrasound: Imaging and Sensing 2014, 894337 (3 March 2014); doi: 10.1117/12.2042636; https://doi.org/10.1117/12.2042636
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