scholarly journals Soft-Tissue Imaging in a Human Mummy: Propagation-based Phase-Contrast CT

Radiology ◽  
2018 ◽  
Vol 289 (3) ◽  
pp. 670-676 ◽  
Author(s):  
Jenny Romell ◽  
William Vågberg ◽  
Mikael Romell ◽  
Sofia Häggman ◽  
Salima Ikram ◽  
...  
2015 ◽  
Vol 22 (4) ◽  
pp. 1106-1111 ◽  
Author(s):  
Christian Dullin ◽  
Emanuel Larsson ◽  
Giuliana Tromba ◽  
Andrea M. Markus ◽  
Frauke Alves

Lung imaging in mouse disease models is crucial for the assessment of the severity of airway disease but remains challenging due to the small size and the high porosity of the organ. Synchrotron inline free-propagation phase-contrast computed tomography (CT) with its intrinsic high soft-tissue contrast provides the necessary sensitivity and spatial resolution to analyse the mouse lung structure in great detail. Here, this technique has been applied in combination with single-distance phase retrieval to quantify alterations of the lung structure in experimental asthma mouse models of different severity. In order to mimic anin vivosituation as close as possible, the lungs were inflated with air at a constant physiological pressure. Entire mice were embedded in agarose gel and imaged using inline free-propagation phase-contrast CT at the SYRMEP beamline (Synchrotron Light Source, `Elettra', Trieste, Italy). The quantification of the obtained phase-contrast CT data sets revealed an increasing lung soft-tissue content in mice correlating with the degree of the severity of experimental allergic airways disease. In this way, it was possible to successfully discriminate between healthy controls and mice with either mild or severe allergic airway disease. It is believed that this approach may have the potential to evaluate the efficacy of novel therapeutic strategies that target airway remodelling processes in asthma.


2021 ◽  
Vol 20 ◽  
pp. 153303382110101
Author(s):  
Thet-Thet Lwin ◽  
Akio Yoneyama ◽  
Hiroko Maruyama ◽  
Tohoru Takeda

Phase-contrast synchrotron-based X-ray imaging using an X-ray interferometer provides high sensitivity and high spatial resolution, and it has the ability to depict the fine morphological structures of biological soft tissues, including tumors. In this study, we quantitatively compared phase-contrast synchrotron-based X-ray computed tomography images and images of histopathological hematoxylin-eosin-stained sections of spontaneously occurring rat testicular tumors that contained different types of cells. The absolute densities measured on the phase-contrast synchrotron-based X-ray computed tomography images correlated well with the densities of the nuclear chromatin in the histological images, thereby demonstrating the ability of phase-contrast synchrotron-based X-ray imaging using an X-ray interferometer to reliably identify the characteristics of cancer cells within solid soft tissue tumors. In addition, 3-dimensional synchrotron-based phase-contrast X-ray computed tomography enables screening for different structures within tumors, such as solid, cystic, and fibrous tissues, and blood clots, from any direction and with a spatial resolution down to 26 μm. Thus, phase-contrast synchrotron-based X-ray imaging using an X-ray interferometer shows potential for being useful in preclinical cancer research by providing the ability to depict the characteristics of tumor cells and by offering 3-dimensional information capabilities.


2017 ◽  
Vol 354 ◽  
pp. 1-8 ◽  
Author(s):  
Mai Elfarnawany ◽  
Seyed Alireza Rohani ◽  
Soroush Ghomashchi ◽  
Daniel G. Allen ◽  
Ning Zhu ◽  
...  

Hand Clinics ◽  
2004 ◽  
Vol 20 (2) ◽  
pp. 147-166 ◽  
Author(s):  
Jeffrey J Peterson ◽  
Laura W Bancroft ◽  
Mark J Kransdorf
Keyword(s):  

Radiology ◽  
2021 ◽  
pp. 203967
Author(s):  
Wen-Juan Lv ◽  
Xin-Yan Zhao ◽  
Dou-Dou Hu ◽  
Xiao-Hong Xin ◽  
Li-Li Qin ◽  
...  

Author(s):  
William Twengström ◽  
Carlos Fernandez Moro ◽  
Jenny Romell ◽  
Jakob C. Larsson ◽  
Ernesto Sparrelid ◽  
...  

Radiography ◽  
2014 ◽  
Vol 20 (2) ◽  
pp. 158-161 ◽  
Author(s):  
Helen A. McNair ◽  
Mark Elsworthy ◽  
June Dean ◽  
Charlotte Beardmore

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