Guan, H;
Hagen, CK;
Olivo, A;
Anastasio, MA;
(2018)
A subspace-based resolution-enhancing image reconstruction method for few-view differential phase-contrast tomography.
Journal of Medical Imaging and Radiation Sciences
, 5
(2)
, Article 023501. 10.1117/1.JMI.5.2.023501.
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Abstract
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 due to the high-frequency information loss caused by data incompleteness. In this work, a subspace-based reconstruction strategy is proposed and investigated for use in few-view D-XPCT image reconstruction. By adopting a two-step approach, the proposed method can simultaneously recover high-frequency details within a certain region of interest while suppressing noise and/or artifacts globally. The proposed method is investigated by the use of few-view experimental data acquired by an edge-illumination D-XPCT scanner.
Type: | Article |
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Title: | A subspace-based resolution-enhancing image reconstruction method for few-view differential phase-contrast tomography |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1117/1.JMI.5.2.023501 |
Publisher version: | https://doi.org/10.1117/1.JMI.5.2.023501 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10049770 |
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