Refraction contrast 11×-magnified X-ray imaging of large objects by MIRRORCLE-type table-top synchrotron

Hirai, T.; Yamada, Hironari; Sasaki, M.; Hasegawa, Daisuke; Morita, Masaki; Oda, Yasuhito; Takaku, J.; Hanashima, Τakayasu; Nitta, Norihisa; Takahashi, Masashi; Murata, Kiyoshi

doi:10.1107/s0909049506027026

Cited by 30 publications

(13 citation statements)

References 10 publications

(10 reference statements)

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“…Significant phase contrast appears as the target size is less than 25 µm and the magnification is larger than two . Edge is more enhanced as magnification is larger as seen in Fig.…”

Section: Variety Of Applications For Mirrorclementioning

confidence: 85%

MIRRORCLE type tabletop synchrotron light source realizing micron‐order focus point

Yamada¹,

Maeo²,

Hasegawa³

et al. 2012

X-Ray Spectrometry

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MIRRORCLE generates brilliant far‐infrared, extreme ultraviolet, and hard X‐ray beams in a body of tabletop electron storage ring (ESR). In this paper, we report the most recent development of the 4‐ and 1‐MeV, 8‐cm orbit radius ESR. X‐rays are generated in Bremsstrahlung mechanism by a micron‐order ball shape target placed in the ESR electron orbit. Nature of the source is different from either X‐ray tubes or synchrotron light sources (SLS). MIRRORCLE generates high‐density photons such as SLS, but the emitter size is much smaller than that. The X‐ray angular distribution is 1/γ determined by the normalized electron energy γ, thus is much wider than of SLS with the MeV electrons. The energy spectrum is polychromatic like SLS but continues up to MeV range. MIRRORCLE has advantages in magnified phase contrast X‐ray 2D and 3D imaging for light as well as heavy materials. It has an advantage in fluorescent analysis of micron‐sized objects because focus size is in microns. It is advanced in an ultrasmall‐angle scattering experiment by its micron‐order focus point. Extended X‐ray absorption fine structure is carried out in an energy dispersive mode because of the white spectrum and the wide angular spread of radiation. Copyright © 2012 John Wiley & Sons, Ltd.

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“…Significant phase contrast appears as the target size is less than 25 µm and the magnification is larger than two . Edge is more enhanced as magnification is larger as seen in Fig.…”

Section: Variety Of Applications For Mirrorclementioning

confidence: 85%

MIRRORCLE type tabletop synchrotron light source realizing micron‐order focus point

Yamada¹,

Maeo²,

Hasegawa³

et al. 2012

X-Ray Spectrometry

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“…Thus, the current application of our imaging setup is restricted to ex vivo studies rather than in vivo exams of cartilage tissue. Given that several high-brilliance and high-energy compact X-ray sources are currently in development [54–56], future research will be necessary to investigate the possibility of transferring PCI-CT imaging from synchrotron radiation facilities, which offer highly collimated, high fluence, and partially coherent X-rays, to a clinical environment.…”

Section: Discussionmentioning

confidence: 99%

Volumetric quantitative characterization of human patellar cartilage with topological and geometrical features on phase-contrast X-ray computed tomography

Nagarajan

Coan

Huber

et al. 2015

Med Biol Eng Comput

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Phase contrast X-ray computed tomography (PCI-CT) has attracted significant interest in recent years for its ability to provide significantly improved image contrast in low absorbing materials such as soft biological tissue. In the research context of cartilage imaging, previous studies have demonstrated the ability of PCI-CT to visualize structural details of human patellar cartilage matrix and capture changes to chondrocyte organization induced by osteoarthritis. This study evaluates the use of geometrical and topological features for volumetric characterization of such chondrocyte patterns in the presence (or absence) of osteoarthritic damage. Geometrical features derived from the scaling index method (SIM) and topological features derived from Minkowski Functionals were extracted from 1392 volumes of interest (VOI) annotated on PCI-CT images of ex vivo human patellar cartilage specimens. These features were subsequently used in a machine learning task with support vector regression to classify VOIs as healthy or osteoarthritic; classification performance was evaluated using the area under the receiver-operating characteristic (ROC) curve (AUC). Our results show that the classification performance of SIM-derived geometrical features (AUC: 0.90 ± 0.09) significantly outperform Minkowski Functionals volume (AUC: 0.54 ± 0.02), surface (AUC: 0.72 ± 0.06), mean breadth (AUC: 0.74 ± 0.06) and Euler characteristic (AUC: 0.78 ± 0.04) (p < 10−4). These results suggest that such geometrical features can provide a detailed characterization of the chondrocyte organization in the cartilage matrix in an automated manner, while also enabling classification of cartilage as healthy or osteoarthritic with high accuracy. Such features could potentially serve as diagnostic imaging markers for evaluating osteoarthritis progression and its response to different therapeutic intervention strategies.

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“…This restricts its use to imaging ex vivo specimens such as those used in the study, rather than in vivo exams of the entire cartilage tissue, since the radiation source is stationary. Future research will be necessary to investigate the possibility of implementating PCI methods with high-brilliance and high-energy compact X-ray sources that are currently under development [44]-[46]. These technologies currently show significant promise for transferring PCI-CT imaging from synchrotron radiation facilities, which offer highly collimated, high fluence, and partially coherent X-rays, to a clinical environment.…”

Section: Discussionmentioning

confidence: 99%

Computer-Aided Diagnosis in Phase Contrast Imaging X-Ray Computed Tomography for Quantitative Characterization of ex vivo Human Patellar Cartilage

Nagarajan

Coan

Huber

et al. 2013

IEEE Trans. Biomed. Eng.

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Visualization of ex vivo human patellar cartilage matrix through the phase contrast imaging X-ray computed tomography (PCI-CT) has been previously demonstrated. Such studies revealed osteoarthritis-induced changes to chondrocyte organization in the radial zone. This study investigates the application of texture analysis to characterizing such chondrocyte patterns in the presence and absence of osteoarthritic damage. Texture features derived from Minkowski functionals (MF) and gray-level co-occurrence matrices (GLCM) were extracted from 842 regions of interest (ROI) annotated on PCI-CT images of ex vivo human patellar cartilage specimens. These texture features were subsequently used in a machine learning task with support vector regression to classify ROIs as healthy or osteoarthritic; classification performance was evaluated using the area under the receiver operating characteristic curve (AUC). The best classification performance was observed with the MF features perimeter (AUC: 0.94 ± 0.08) and “Euler characteristic” (AUC: 0.94 ± 0.07), and GLCM-derived feature “Correlation” (AUC: 0.93 ± 0.07). These results suggest that such texture features can provide a detailed characterization of the chondrocyte organization in the cartilage matrix, enabling classification of cartilage as healthy or osteoarthritic with high accuracy.

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Refraction contrast 11×-magnified X-ray imaging of large objects by MIRRORCLE-type table-top synchrotron

Cited by 30 publications

References 10 publications

MIRRORCLE type tabletop synchrotron light source realizing micron‐order focus point

MIRRORCLE type tabletop synchrotron light source realizing micron‐order focus point

Volumetric quantitative characterization of human patellar cartilage with topological and geometrical features on phase-contrast X-ray computed tomography

Computer-Aided Diagnosis in Phase Contrast Imaging X-Ray Computed Tomography for Quantitative Characterization of ex vivo Human Patellar Cartilage

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