PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
It is well-known that properly designed image reconstruction methods can facilitate reductions in imaging doses and data-acquisition times in tomographic imaging. The ability to do so is particularly important for emerging modalities such as differential X-ray phase-contrast tomography (D-XPCT), which are currently limited by these factors. An important application of D-XPCT is high-resolution imaging of biomedical samples. However, reconstructing high-resolution images from few-view tomographic measurements remains a challenging task. In this work, a two-step sub-space reconstruction strategy is proposed and investigated for use in few-view D-XPCT image reconstruction. It is demonstrated that the resulting iterative algorithm can mitigate the high-frequency information loss caused by data incompleteness and produce images that have better preserved high spatial frequency content than those produced by use of a conventional penalized least squares (PLS) estimator.
Huifeng Guan andMark A. Anastasio
"A resolution-enhancing image reconstruction method for few-view differential phase-contrast tomography", Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 1013216 (9 March 2017); https://doi.org/10.1117/12.2255543
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Huifeng Guan, Mark A. Anastasio, "A resolution-enhancing image reconstruction method for few-view differential phase-contrast tomography," Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 1013216 (9 March 2017); https://doi.org/10.1117/12.2255543