scholarly journals Interface Measurement of Moving Objects by Using a Fast X-ray CT Scanner

2001 ◽  
Vol 21 (2) ◽  
pp. 38-44 ◽  
Author(s):  
Masaki Misawa ◽  
Naoki Takada ◽  
Naoki Ichikawa ◽  
Makoto Akai
Keyword(s):  
2018 ◽  
Author(s):  
Lallan Gupta ◽  
Wataru Tanikawa ◽  
Yohei Hamada ◽  
Takehiro Hirose ◽  
Naokazu Ahagon ◽  
...  

2018 ◽  
Vol 137 ◽  
pp. 335-344 ◽  
Author(s):  
Mohd Azhar Harimon ◽  
Yukio Miyashita ◽  
Yuichi Otsuka ◽  
Yoshiharu Mutoh ◽  
Shinichi Yamamoto

2006 ◽  
Vol 31 (2) ◽  
pp. 72 ◽  
Author(s):  
Brindha Subramanian ◽  
PaulB Ravindran ◽  
Clive Baldock

1988 ◽  
Vol 21 (6) ◽  
pp. 972-974 ◽  
Author(s):  
J. Ihringer ◽  
T. Wroblewski ◽  
A. Küster ◽  
J. K. Maichle

2009 ◽  
Author(s):  
Guohua Cao ◽  
Xiomara Calderon-Colon ◽  
Peng Wang ◽  
Laurel Burk ◽  
Yueh Z. Lee ◽  
...  

2021 ◽  
Vol 16 (12) ◽  
pp. C12014
Author(s):  
M. Zoladz ◽  
P. Grybos ◽  
R. Szczygiel

Abstract X-ray imaging of moving objects using line detectors remains the most popular method of object content and structure examination with a typical resolution limited to 0.4–1 mm. Higher resolutions are difficult to obtain as, for the detector in the form of a single pixel row, the narrower the detector is, the lower the image Signal to Noise Ratio (SNR). This is because, for smaller pixel sizes, fewer photons hit the pixel in each time unit for a given radiation intensity. To overcome the trade-off between the SNR and spatial resolution, a two-dimensional sensor, namely a pixel matrix can be used. Imaging of moving objects with a pixel matrix requires time-domain integration (TDI). Straightforward TDI implementation is based on the proper accumulation of images acquired during consecutive phases of an object’s movement. Unfortunately, this method is much more demanding regarding data transfer and processing. Data from the whole pixel matrix instead of a single pixel row must be transferred out of the chip and then processed. The alternative approach is on-chip TDI implementation. It takes advantage of photons acquired by multiple rows (a higher SNR), but generates similar data amount as a single pixel row and does not require data processing out of the chip. In this paper, on-chip TDI is described and verified by using a single photon counting two-dimensional (a matrix of 128 × 192 pixels) CdTe hybrid X-ray detector with the 100 µm × 100 µm pixel size with up to four energy thresholds per pixel. Spatial resolution verification is combined with the Material Discrimination X-ray (MDX) imaging method.


2013 ◽  
Vol 61 (4) ◽  
pp. 347-352 ◽  
Author(s):  
Yoshito Nakashima

Abstract Iodine is conventionally used as a contrast agent in hydrological laboratory experiments using polychromatic X-ray computed tomography (CT) to monitor two-phase Darcy flow in porous geological media. Undesirable beam hardening artifacts, however, render the quantitative analysis of the obtained CT images difficult. CT imaging of porous sand/bead packs saturated with iodine and tungsten-bearing aqueous solutions, respectively, was performed using a medical CT scanner. We found that sodium polytungstate (Na6H2W12O40) significantly reduced the beam hardening compared with potassium iodide (KI). This result is attributable to the location of the K absorption edge of tungsten, which is nearer to the peak of the polychromatic X-ray source spectrum than that of iodine. As sodium polytungstate is chemically stable and less toxic than other heavy element bearing compounds, we recommend it as a promising contrast agent for hydrological CT experiments.


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