Improvement of reconstructed images in ordered subset-Bayesian reconstruction method

Urabe, Hitoshi; Ogawa, Kōichi

doi:10.1109/nssmic.1998.774402

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…Each iteration of SART-TV consists of one step of SART (simultaneous algebraic reconstruction technique), and one step of total variation (TV) minimization. In this study, while the TV minimization step was kept the same, the SART step was replaced by sequence subsets SART (SS-SART) Urabe 1999, Urabe andOgawa 1998). SS-SART allowed the image update to progress in a very stable fashion, and also achieved better image quality at a lower number of iterations (Kong and Pan 2011).…”

Section: Sequence Subsets Sart-tvmentioning

confidence: 99%

Scout-view assisted interior micro-CT

Sharma

Holzner²,

Vasilescu

et al. 2013

Phys. Med. Biol.

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Micro computed tomography (micro-CT) is a widely-used imaging technique. A challenge of micro-CT is to quantitatively reconstruct a sample larger than the field-of-view (FOV) of the detector. This scenario is characterized by truncated projections and associated image artifacts. However, for such truncated scans, a low resolution scout scan with an increased FOV is frequently acquired so as to position the sample properly. This study shows that the otherwise discarded scout scans can provide sufficient additional information to uniquely and stably reconstruct the interior region of interest. Two interior reconstruction methods are designed to utilize the multi-resolution data without a significant computational overhead. While most previous studies used numerically truncated global projections as interior data, this study uses truly hybrid scans where global and interior scans were carried out at different resolutions. Additionally, owing to the lack of standard interior micro-CT phantoms, we designed and fabricated novel interior micro-CT phantoms for this study to provide means of validation for our algorithms. Finally, two characteristic samples from separate studies were scanned to show the effect of our reconstructions. The presented methods show significant improvements over existing reconstruction algorithms.

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Section: Sequence Subsets Sart-tvmentioning

confidence: 99%