Literature DB >> 23732478

Scout-view assisted interior micro-CT.

Kriti Sen Sharma1, Christian Holzner, Dragoş M Vasilescu, Xin Jin, Shree Narayanan, Masoud Agah, Eric A Hoffman, Hengyong Yu, Ge Wang.   

Abstract

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 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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Year:  2013        PMID: 23732478      PMCID: PMC3732817          DOI: 10.1088/0031-9155/58/12/4297

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  24 in total

1.  Comparison of extended field-of-view reconstructions in C-arm flat-detector CT using patient size, shape or attenuation information.

Authors:  Daniel Kolditz; Michael Meyer; Yiannis Kyriakou; Willi A Kalender
Journal:  Phys Med Biol       Date:  2010-11-30       Impact factor: 3.609

2.  Truncation correction for oblique filtering lines.

Authors:  Stefan Hoppe; Joachim Hornegger; Günter Lauritsch; Frank Dennerlein; Frédéric Noo
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

3.  Submicrometer tomographic resolution examined using a micro-fabricated test object.

Authors:  Ryuta Mizutani; Akihisa Takeuchi; R Yoshiyuki Osamura; Susumu Takekoshi; Kentaro Uesugi; Yoshio Suzuki
Journal:  Micron       Date:  2009-09-11       Impact factor: 2.251

4.  Compressive sensing for biomedical imaging.

Authors:  Ge Wang; Yoram Bresler; Vasilis Ntziachristos
Journal:  IEEE Trans Med Imaging       Date:  2011-05       Impact factor: 10.048

5.  Interior region-of-interest reconstruction using a small, nearly piecewise constant subregion.

Authors:  Katsuyuki Taguchi; Jingyan Xu; Somesh Srivastava; Benjamin M W Tsui; Jochen Cammin; Qiulin Tang
Journal:  Med Phys       Date:  2011-03       Impact factor: 4.071

6.  New approaches to region of interest computed tomography.

Authors:  Clemens Maass; Michael Knaup; Marc Kachelriess
Journal:  Med Phys       Date:  2011-06       Impact factor: 4.071

7.  A 2D multiresolution image reconstruction method in X-ray computed tomography.

Authors:  Marius Costin; Delphine Lazaro-Ponthus; Samuel Legoupil; Philippe Duvauchelle; Valérie Kaftandjian
Journal:  J Xray Sci Technol       Date:  2011       Impact factor: 1.535

8.  Optimal short scan convolution reconstruction for fanbeam CT.

Authors:  D L Parker
Journal:  Med Phys       Date:  1982 Mar-Apr       Impact factor: 4.071

9.  Why do commercial CT scanners still employ traditional, filtered back-projection for image reconstruction?

Authors:  Xiaochuan Pan; Emil Y Sidky; Michael Vannier
Journal:  Inverse Probl       Date:  2009-01-01       Impact factor: 2.407

10.  Compressive sampling based interior reconstruction for dynamic carbon nanotube micro-CT.

Authors:  Hengyong Yu; Guohua Cao; Laurel Burk; Yueh Lee; Jianping Lu; Pete Santago; Otto Zhou; Ge Wang
Journal:  J Xray Sci Technol       Date:  2009       Impact factor: 1.535

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  2 in total

1.  Interior micro-CT with an offset detector.

Authors:  Kriti Sen Sharma; Hao Gong; Omid Ghasemalizadeh; Hengyong Yu; Ge Wang; Guohua Cao
Journal:  Med Phys       Date:  2014-06       Impact factor: 4.071

2.  Clinical Micro-CT Empowered by Interior Tomography, Robotic Scanning, and Deep Learning.

Authors:  Mengzhou Li; Zheng Fang; Wenxiang Cong; Chuang Niu; Weiwen Wu; Josef Uher; James Bennett; Jay T Rubinstein; G E Wang
Journal:  IEEE Access       Date:  2020-12-21       Impact factor: 3.367

  2 in total

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