Literature DB >> 18975702

Quantitative comparison of direct phase retrieval algorithms in in-line phase tomography.

Max Langer1, Peter Cloetens, Jean-Pierre Guigay, Françoise Peyrin.   

Abstract

A well-known problem in x-ray microcomputed tomography is low sensitivity. Phase contrast imaging offers an increase of sensitivity of up to a factor of 10(3) in the hard x-ray region, which makes it possible to image soft tissue and small density variations. If a sufficiently coherent x-ray beam, such as that obtained from a third generation synchrotron, is used, phase contrast can be obtained by simply moving the detector downstream of the imaged object. This setup is known as in-line or propagation based phase contrast imaging. A quantitative relationship exists between the phase shift induced by the object and the recorded intensity and inversion of this relationship is called phase retrieval. Since the phase shift is proportional to projections through the three-dimensional refractive index distribution in the object, once the phase is retrieved, the refractive index can be reconstructed by using the phase as input to a tomographic reconstruction algorithm. A comparison between four phase retrieval algorithms is presented. The algorithms are based on the transport of intensity equation (TIE), transport of intensity equation for weak absorption, the contrast transfer function (CTF), and a mixed approach between the CTF and TIE, respectively. The compared methods all rely on linearization of the relationship between phase shift and recorded intensity to yield fast phase retrieval algorithms. The phase retrieval algorithms are compared using both simulated and experimental data, acquired at the European Synchrotron Radiation Facility third generation synchrotron light source. The algorithms are evaluated in terms of two different reconstruction error metrics. While being slightly less computationally effective, the mixed approach shows the best performance in terms of the chosen criteria.

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Year:  2008        PMID: 18975702     DOI: 10.1118/1.2975224

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  15 in total

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Review 2.  Evaluation of bone scaffolds by micro-CT.

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Journal:  Osteoporos Int       Date:  2011-06       Impact factor: 4.507

3.  In vivo monitoring of bone microstructure by propagation-based phase-contrast computed tomography using monochromatic synchrotron light.

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Review 5.  Micro- and nano-CT for the study of bone ultrastructure.

Authors:  Françoise Peyrin; Pei Dong; Alexandra Pacureanu; Max Langer
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6.  Phase retrieval for hard X-ray computed tomography of samples with hybrid compositions.

Authors:  Huiqiang Liu; Yuqi Ren; Han Guo; Yanling Xue; Honglan Xie; Tiqiao Xiao; Xizeng Wu
Journal:  Chin Opt Lett       Date:  2012-12-10       Impact factor: 2.448

Review 7.  Micro-CT of rodents: state-of-the-art and future perspectives.

Authors:  D P Clark; C T Badea
Journal:  Phys Med       Date:  2014-06-26       Impact factor: 2.685

8.  X-ray phase contrast tomography; proof of principle for post-mortem imaging.

Authors:  Anna Zamir; Owen J Arthurs; Charlotte K Hagen; Paul C Diemoz; Thierry Brochard; Alberto Bravin; Neil J Sebire; Alessandro Olivo
Journal:  Br J Radiol       Date:  2015-11-27       Impact factor: 3.039

9.  Factors influencing real time internal structural visualization and dynamic process monitoring in plants using synchrotron-based phase contrast X-ray imaging.

Authors:  Chithra Karunakaran; Rachid Lahlali; Ning Zhu; Adam M Webb; Marina Schmidt; Kyle Fransishyn; George Belev; Tomasz Wysokinski; Jeremy Olson; David M L Cooper; Emil Hallin
Journal:  Sci Rep       Date:  2015-07-17       Impact factor: 4.379

10.  3D microstructural architecture of muscle attachments in extant and fossil vertebrates revealed by synchrotron microtomography.

Authors:  Sophie Sanchez; Vincent Dupret; Paul Tafforeau; Katherine M Trinajstic; Bettina Ryll; Pierre-Jean Gouttenoire; Lovisa Wretman; Louise Zylberberg; Françoise Peyrin; Per E Ahlberg
Journal:  PLoS One       Date:  2013-02-26       Impact factor: 3.240

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