suRi 2.0: super resolution CBCT imaging in dual-layer flat-panel detector without half-pixel shifted binning

Jiongtao Zhu; Ting Su; Xin Zhang; Yongshuai Ge

doi:10.1117/12.3005380

3 April 2024 suRi 2.0: super resolution CBCT imaging in dual-layer flat-panel detector without half-pixel shifted binning

Jiongtao Zhu, Ting Su, Xin Zhang, Yongshuai Ge

Author Affiliations +

Proceedings Volume 12925, Medical Imaging 2024: Physics of Medical Imaging; 129253E (2024) https://doi.org/10.1117/12.3005380
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Conference Poster

Abstract

This abstract presents a new super resolution CBCT imaging method, named as suRi 2.0, that utilizes the natural detector element offsets between the top and bottom detector layers. A simple mathematical model is assumed to explain the feasibility of recovering the high resolution spatial information. In addition, a deep RNN network is developed to extract the high resolution details from the projections having lower spatial resolution. Experimental results show that CBCT images reconstructed from suRi 2.0 exhibit comparable spatial resolution to those obtained with smaller detector element binning.

Citation Download Citation

Jiongtao Zhu, Ting Su, Xin Zhang, and Yongshuai Ge "suRi 2.0: super resolution CBCT imaging in dual-layer flat-panel detector without half-pixel shifted binning", Proc. SPIE 12925, Medical Imaging 2024: Physics of Medical Imaging, 129253E (3 April 2024); https://doi.org/10.1117/12.3005380

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