dynamic x-ray imaging and its applications · 2018. 9. 15. · x-ray beam developed a powerful tool...
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![Page 1: Dynamic X-ray Imaging and its Applications · 2018. 9. 15. · X-ray beam developed A powerful tool for quantitative analysis to 3D structure evolution . Anisotropic shrinkage of](https://reader036.vdocuments.mx/reader036/viewer/2022071605/6141fa9a2035ff3bc762608e/html5/thumbnails/1.jpg)
Tiqiao XiaoEmail: [email protected]
Shanghai Synchrotron Radiation Facility
Dynamic X-ray Imaging and its Applications
ULITIMA 2018 Sept. 10-15,2018, ANL, Chicago, USA
ULITIMA 2018
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2
Contents
◼ Brief to X-ray Imaging Group@SSRF
◼ Two dimensional X-ray dynamic imaging
◼ Dynamic X-ray CT imaging
◼ New contrast mechanism for X-ray imaging
◼ Conclusions
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SSRF Complex
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<5nm-rad
5 nm-rad
yx
B
1
Brightness & Emittance
NSLS-II
TPS
MAX-IV
10-1
XFEL higher brightness, shorter pulse
Current SR sources—towards lower emittance and higher brightness
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X-ray Imaging Group @SSRF
Members
➢ 12 Staff
➢ Graduate students
➢ Postdoctors
➢ Guest scientists
Research Fields
➢ X-ray imaging
methodology
➢ Related applications
Based on SR & Lab source
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Optical Hutch
End-station
0 20m 29m 32m 33m 35m 40m
CCDUndulator slits DCM Sample chamber and in-situ devices
slits ms-shutter μs-shutter
Bending
Magnet
Collimator
MirrorDCM Focusing
Mirror
Secondary
Source
Condenser
Zone Plate
Detector
0 20.5m 24m 26m 39m 41m 42m
Three X-ray Imaging Beamlines
BL13W--X-ray Imaging with wiggler source
Fast X-ray imaging beamline-Undulator source
X-ray nano-CT beamline-Bending Magnet
In operation
Under construction
Time
resolution
up to 80ps
Spatial
resolution
up to 20nm
ms, sub micron
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Multi-Contrast Mechanism at SSRF
Contrast Method Information
Absorption m-CTComponents and structure for high Z materials (static-dynamic, quantitative)
Phase PC m-CTComponents and structure for low Z materials (static-dynamic, quantitative)
Fluorescence XFCT Elements distribution
Diffraction-XRD XRD-CTCrystal grain: location, orientation and morphology
Scattering-SAXS SAXS-CTNano particle: location and morphology
Moving Contrast MCXI complex system imaging
2nd order Photon Correlation
XGI-RS & FT Ghost Imaging
Nanostructure-lensless, turbulence free
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A robust method for high-precision quantitative
analysis to the complex micro-vasculatures
𝑯𝒊𝒈𝒉 − 𝒍𝒆𝒗𝒆𝒍 𝒗𝒂𝒔𝒄𝒖𝒍𝒂𝒓 𝒓𝒂𝒕𝒊𝒐 =𝒂𝒗𝒆𝒓𝒂𝒈𝒆 𝒍𝒆𝒗𝒆𝒍
𝒎𝒂𝒙 𝒍𝒆𝒗𝒆𝒍
Hai Tan et al,J. Synchrotron Rad. (2016). 23, 1216-1226
Hai Tan et al,Nuclear Science and Techniques,(2016), 27:125
,DOI 10.1007/s41365-016-0121-7
used to evaluate the level of liver fibrosis
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calcium oxalate cluster crystals
number volume
Linlin Ye et al, Journal of Ginseng Research (2016), doi: 10.1016/j.jgr.2016.05.004.
•Planted ginseng
•American ginseng
•Korean ginseng
•Wild ginseng
calcium oxalate cluster crystals
Identification of ginseng root using
quantitative X-ray microtomography
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Sample: heterogeneous Junger
Basin shale
Composition and Porosity for oil shale
Fig1: Optical microscope image: Locations
of S1 (D: 0.8mm) and S4’ (D: 3mm) .Fig 2: Reconstructed slices of S1 (a) and S4’ (b). (c) Histograms.
Table 1: Porosities and the volume fractions
of the minerals in S1, S4’.
SR-μCT and reconstructions➢The X-ray beam energy: 25keV & 35keV
➢The sample-detector distance: 12 cm
➢The pixel size: 0.65μm (S1); 3.25μm (S4’)
data-constrained modelling microstructure
characterisation
The fractal dimensions of
the largest pore cluster of
S1 and S4’ : 2.34 and 2.86 .
Fig 3: Compositional distributions (a, b, e, f) and pore structures (c, g) of S1 and S4’. (d, h)
The frequency and volume distribution for pore clusters.
S1
S4’
Y.D. Wang et al 2016 JINST 11 C04005
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XRD-CT developed for crystal characterization in alloys
近场探测器
Beamstop
样品台
狭缝
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A method is developed to reveal the unknown minor phase within bulk
polycrystalline metals. Y.M. Yang et al., Materials Characterization 124 (2017) 206–214
XRD-CT developed for 3-D imaging to
granular crystal distribution and orientation
635℃ 645℃ 655℃
Morphology and texture characterization of crystal grains in bulk alloys processed by two-stage reheating
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SAXS CT for polylactide(PLA)
• Poly(lactic acid) or polylactic acid or polylactide (PLA) is a biodegradable and bioactive thermoplastic aliphatic polyester derived from renewable resources, such as corn starch (in the United States and Canada), cassava roots, chips or starch (mostly in Asia), or sugarcane (in the rest of the world).
13
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Conventional methods for crystal characterization
SEM AFM
POM SAXS/WAXD for slice samples
Applicable for surface or sliced samples
How to deal with volume samples?
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SAXS-CT@SSRF
Vacuum pipeline
Sample
Pinhole
K-B mirror
Three dimensional Hierarchical Crystalline Structure Evolution in Injection-Molded Polylactide
Tao Hu et al, Applied Optics 56, 8326 (2017)
No obvious change of crystals observed along the fluids
3D distribution of PLA30 shish-kebab crystal(60 layers)
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Fig 1. Sketch of the FF-XFCT with pinhole collimator
Fig 2. Reconstructed FF-XFCT and
transmission CT slices of the phantom Fig 3. 3D Cd and I imaging obtained by FF-XFCT
◆ Combine a FF-XFCT system with subtracting imaging, 3D elemental
distributions can be retrieved.
◆ FF-XFCT is a sensitive, inexpensive and simple approach for effective
3D element imaging.
Biao Deng et al, Analyst, 2015, 140, 3521–3525
X-ray full-field fluorescence tomography
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17
Contents
◼ Brief to X-ray Imaging Group@SSRF
◼ Two dimensional X-ray dynamic imaging
◼ Dynamic X-ray CT imaging
◼ New contrast mechanism for X-ray imaging
◼ Conclusions
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Micro-CT with X-ray tube
18Static and low resolution
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2
21
3
2
)μ(μR
SNRΦ out
−=
Flux density needed for X-ray imaging,
where
SNR: signal to noise ratio,
R: spatial resolution,
m1-m2: contrast
To do something different—dynamic imaging preferred
high flux density of SR makes it possible for dynamic
X-ray imaging with high resolution and SNR
Why dynamic imaging preferred with SR
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The First Live
imaging-Grasshopper
@BL13W
Broadcasted at
CCTV1
Dentritical
crystal growing
process
Ion transportation
in Lithium Cell
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Dynamic X-ray imaging
Solidification behavior of alloystime scale: ms; spatial resolution: sub micron
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Dendritic crystal growing process
No Electic Current EC: 7A/cm2
EC induced nucleation
Growing speed variation with temperature and time
Dendritic crystal growing speed with time
Solidification behavior and electromagnetic
Regulation Mechanism of Alloys—WANG TM’s group
300 µm
Physical Review E, 2010, 81: 042601
Materials Letter, 2012, 89: 137
300 µm
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Dynamic X-ray imaging
Blood vessel related diseasesIn-vivo Imaging for vasculatures in rats—ms
Spatial resolution: microns
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Vasculopathy on hypertensive rats
Wang L, et al. Front Aging Neurosci. 2017
SD
SHR
SHR
SD
Vessels for hypertensive
rats become narrower with
the wall turning thicker
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Butylphthalide can stimulate the expanding of vascular
Qin C, et al, JCBFM, 2017
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Dynamic X-ray imaging
Mechanisms for fuel spraytime scale: ms-ns; spatial resolution: micron
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Setup for
imaging
system
Experiments on fuel spray_by WU Zhijun’s group, TJU
+
-
+
-
X光
慢速斩光器
喷油器
定容弹
闪烁晶体
可见光
镜子
高速摄像机
显微镜头
Kapton
窗口
27
Objects:
• Needle valve
movement
• Near field
spray
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➢Driving electric current for needle valve
• Rising current(A): 6-7; 7-8; 8-9;9-10;10-11
• Keeping current(A): 3-4, 5-6, 6-7, 7-8
➢Frame rate of the CCD camera:40000 fps
➢Exposure time:23.4µs
➢Image size (pixel):1024*512
➢Pixel size:2.5𝜇𝑚/pixel
Parameters for the experiments
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Movement of needle valve—dynamic images
Exprimental Results
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Near field spray—Pressure on Spray Crushing
Exprimental Results
➢Driving electric current for needle valve
• Rising current(A): 6-7
• Keeping current(A): 3-4
• Spray pulse: 2ms
➢Pressure for spray(MPa): 1,5,10,15
➢Frame rate: 70000 fps(14.3ms per frame)
➢Exposure time:248ns, 159ns
➢Image size (pixel):1024*512
➢Pixel size:2.5𝜇𝑚/pixel
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Pressure:1MPa
Pressure:14MPa
Dynamic image with 159ns exposure time @spray pressures
Near field spray—Pressure on Spray Crushing
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32
Contents
◼ Brief to X-ray Imaging Group@SSRF
◼ Two dimensional X-ray dynamic imaging
◼ Dynamic X-ray CT imaging
◼ New contrast mechanism for X-ray imaging
◼ Conclusions
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Dynamic CT—monochromatic beam
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Xia et al., Nat. Commun. 2015
Glass transition
Physics on particle fluids— seconds to minutes
3d
2d
Flip process
T1 event 2-2 flip & 2-3/3-2 flip
Cao et al., Nat. Commun. 2018
Prof. Yujie Wang’ group
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Monochromatic CT vs white beam
• Disadvantages (VS white beam)
– Lower flux intensity
– longer exposure time
– lower CT time resolution
• Advantages (VS white beam)
– Quantitative (bandwidth ~0.02% with DCM)
– Lower doseSam
ple
High
Energy
Low
Energy
Incident X-ray
(white beam)
Exit X-ray
Absorbed by
sample: Dose
Dose
reduce
sharply
Limited to 2 frames/s
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PI air bearing rotation stage
Resolution 0.00004°
Repeatability 0.00005 °
Maximum speed
360 °/sec.
Wobble ± 1.25 μrad
Hamamatsu ORCA detector
Pixels 2048 (H)×2048 (V)
Pixel size 6.5 μm×6.5 μm
Frame rate Up to 1000 fps
Hamamatsu
ORCA detector
PI air bearing
rotation stage
Gas regulator
Gas pipeline
Quantitative micro-CT from 3D to 4D
Data collection(computer)
Memory 48G
Hard disk Solid state HD raid0
Collection & Saving
Collected directly in memory and then transferred to HD
GPU Parallel processing
Introduced to deal with the
massive data (48Gb/75s)
2Hz dynamic micro-CT
based on monochromatic
X-ray beam developed
A powerful tool for quantitative
analysis to 3D structure evolution
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Anisotropic shrinkage of the insect’s air sacs
revealed in vivo by X-ray dynamic microtomography
2ms/projection, 136
projections, 500ms for
one set, lasting for 75s
with 150 breathing
points recorded
Liang Xu et. al., Scientific Reports, (2016), 6:32380 | DOI: 10.1038/srep32380
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By Group of Prof. Xiaofang Hu from USTC
4D characterization of material microstructures
Microwave sintering of ceramics
Xu F et al. Applied Physics Letters, 2017, 110(10)
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Quantification for drug release in operando
view from one project
ZHANG Jiweng’s Group@ SIMM
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SSRF user’s results: Prof. Jiwen Zhang group @ SIMM
droplet releasing rate
Released droplet volume distribution
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Dynamic CT—white beam
…catch faster process
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Hardware of white beam dynamic CT
Shutter Filter Stages
Detector
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Detector with higher efficiency
In house developed optics couple
system with camera installed
White beam optics coupling system
Commercial productIn house
developed
Magnification 2 5 7.5 10 8
NA 0.05 0.05 0.21 0.28 0.59
Working
distance (mm) 34 34 35 33.5 37
Coupling
efficiency (%) 0.11 0.17 3.4 6.5 27.5
⚫ In house developed L-shaped lens-coupled optical
microscopy system, it has larger NA and its coupling
efficiency is 8 times of existing commercial product.
⚫ Photron FASTCAM-SA-Z camera is installed in this
system, its pixel size is 20 μm with 1024×1024 pixels,
and a memory of 64GB. A maximum acquisition rate of
100000 fps under 640 ×280 pixels.
⚫ The actual pixel size of the detector system is 2.5μm,
FOV is 2.56mm × 2.56mm
FASTCAM-
SA-Z camera
Adjusting
system
Optics len
Scintillator
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Experiment results
Live ant, 25Hz CTPlant root static sample, 26.6Hz CT
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45
Contents
◼ Brief to X-ray Imaging Group@SSRF
◼ Two dimensional X-ray dynamic imaging
◼ Dynamic X-ray CT imaging
◼ New contrast mechanism for X-ray imaging
◼ Conclusions
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New contrast mechanisms
• Moving Contrast X-ray imaging
• 2nd order X-ray photon correlation
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Moving contrast X-ray imaging
◆ Imaging to complex system like a live body: all things are
moving and overlaping together. Is it possible to remove
these interference?
◆Concept of moving contrast: differentiate them by their
moving characteristics
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Blood vessel imaging in vivo is critical to clinical diagnosis of many kinds of diseases
Tumor
Stroke
hypertension
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Traditional solution: digital subtraction (DSA)
A mask image without contrast agent subtracted
from the angiogram—DSA, currently the
dominant clinic angiographic method
However, the human or rats are alive, it is hard to
hold tissues motionless inside the body—mask
different from the sequenced images for the
angiography →fake image and noises →solution?
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Blood vessels Moving contrast image for other tissues
Static background − Mask imageHigh frequency noises
Results for moving contrast angiography
Interference of other tissues removed
and sensitivity of angiography greatly
improved by MCA
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Water refilling process in leaf
Y.L. Xue, et al, Nucl Sci Tech, 24 60101-060101
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Trace reconstructed by moving contrast X-ray imaging
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2nd order Photon Correlation Imagingreal space ghost X-ray ghost imaging
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Concept for 2nd order photon correlation X-ray imaging
Through the correlation between the reference and object
field, the information that is hidden inside the photon
fluctuations and abandoned by the traditional imaging
method, could be revealed, and the object image can be
achieved nonlocally
reference
Object beam
correlation:
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Imaging using the 2nd order photon correlation:Fourier-transform Ghost Imaging with Hard X-rays@BL13W/SSRF
Experimental setup for X-ray FGI using
a pseudo-thermal X-ray sourcethe sample and an example of
intensity distribution pattern pairs
Diffraction patterns of the sample
obtained with 12.4keV X-raysThe sample’s amplitude distribution (a) and
phase distribution (b) in spatial domain
Hong Yu, et.al. Physical Review Letters, , 2016, 117(11)
Prof. HAN Shensheng’s group
Hong Yu, Ronghua Lu, Shensheng Han, Honglan Xie, Guohao Du, Tiqiao Xiao and Daming Zhu, Fourier-
transform ghost imaging with hard x-rays,Physical Review Letters 117, 113901 (2016).
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TGISUM—real space ghost imaging
Reference arm
d
Detecting arm
d1 d2
Thermo source:
X-ray + sand paper
Pixel array
detector
Pixel array
detector
样品
Direct image Ghost image
Detector for the arm
with object taken as
bucket detector by
binning all the pixels
together
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2nd order photon correlation X-ray imaging—leaf
Direct image
TGI
TGISUM
实验条件:P20000碳化硅砂纸,
同步辐射光源, 能量E=10keV
探测器分辨率: 0.65μm/pixel
曝光时间1s, 砂纸到探测器距离10cm, 样品贴在砂纸镜头盖上
Pixel array detector used for the object
arm. Spatial resolution info used
Can be used for low dose and quick imaging
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Conclusion
• 2-D and 3-D X-ray imaging developed at SSRF with time resolution from ms-microsecond-nanosecond, and 2~25Hz for 3-D
• Movin contrast is useful for in operando imaging to complex system
• Real space ghost imaging may be employed for low dose and quick X-ray imaging
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Thanks for your attention