Optoacoustic imaging quality enhancement based on geometrical super-resolution method

Hailong He; Subhamoy Mandal; Andreas Buehler; X. Luís Deán-Ben; Daniel Razansky; Vasilis Ntziachristos

doi:10.1117/12.2211626

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15 March 2016 Optoacoustic imaging quality enhancement based on geometrical super-resolution method

Hailong He; Subhamoy Mandal; Andreas Buehler; X. Luís Deán-Ben; Daniel Razansky; Vasilis Ntziachristos

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Proceedings Volume 9708, Photons Plus Ultrasound: Imaging and Sensing 2016; 97082A (2016) https://doi.org/10.1117/12.2211626
Event: SPIE BiOS, 2016, San Francisco, California, United States

Abstract

In optoacoustic imaging, the resolution and image quality in a certain imaging position usually cannot be enhanced without changing the imaging configuration. Post-reconstruction image processing methods offer a new possibility to improve image quality and resolution. We have developed a geometrical super-resolution (GSR) method which uses information from spatially separated frames to enhance resolution and contrast in optoacoustic images. The proposed method acquires several low resolution images from the same object located at different positions inside the imaging plane. Thereafter, it applies an iterative registration algorithm to integrate the information in the acquired set of images to generate a single high resolution image. Herein, we present the method and evaluate its performance in simulation and phantom experiments, and results show that geometrical super-resolution techniques can be a promising alternative to enhance resolution in optoacoustic imaging.

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Hailong He, Subhamoy Mandal, Andreas Buehler, X. Luís Deán-Ben, Daniel Razansky, and Vasilis Ntziachristos "Optoacoustic imaging quality enhancement based on geometrical super-resolution method", Proc. SPIE 9708, Photons Plus Ultrasound: Imaging and Sensing 2016, 97082A (15 March 2016); https://doi.org/10.1117/12.2211626

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