Optoacoustic imaging quality enhancement based on geometrical super-resolution method
He H, Mandal S, Buehler A, Dean-Ben XL, Razansky D, Ntziachristos V (2016)
Publication Type: Conference contribution
Publication year: 2016
Journal
Publisher: SPIE
Book Volume: 9708
Conference Proceedings Title: Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Event location: San Francisco, CA, USA
ISBN: 9781628419429
DOI: 10.1117/12.2211626
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.
Involved external institutions
Germany (DE)How to cite
APA:
He, H., Mandal, S., Buehler, A., Dean-Ben, X.L., Razansky, D., & Ntziachristos, V. (2016). Optoacoustic imaging quality enhancement based on geometrical super-resolution method. In Alexander A. Oraevsky, Lihong V. Wang (Eds.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE. San Francisco, CA, USA: SPIE.
MLA:
He, Hailong, et al. "Optoacoustic imaging quality enhancement based on geometrical super-resolution method." Proceedings of the Photons Plus Ultrasound: Imaging and Sensing 2016, San Francisco, CA, USA Ed. Alexander A. Oraevsky, Lihong V. Wang, SPIE, 2016.
BibTeX: Download