scholarly journals Determination of optimal image type and lowest detectable concentration for iodine detection on a photon counting detector-based multi-energy CT system

Author(s):  
Kenneth A. Fetterly ◽  
Gregory J. Michalak ◽  
Wei Zhou ◽  
Rachel Schornak ◽  
Dilbar Abdurakhimova ◽  
...  
2020 ◽  
Vol 55 (4) ◽  
pp. 226-232
Author(s):  
Wei Zhou ◽  
Gregory J. Michalak ◽  
Jayse M. Weaver ◽  
Hao Gong ◽  
Lifeng Yu ◽  
...  

2016 ◽  
Vol 61 (4) ◽  
pp. 1572-1595 ◽  
Author(s):  
Zhicong Yu ◽  
Shuai Leng ◽  
Steven M Jorgensen ◽  
Zhoubo Li ◽  
Ralf Gutjahr ◽  
...  

1973 ◽  
Vol 19 (11) ◽  
pp. 1259-1264 ◽  
Author(s):  
Robert E Curry ◽  
Harry L Pardue ◽  
Glen E Mieling ◽  
Robert E Santini

Abstract We describe the design and evaluation of a filter fluorometer in which a photomultiplier detector is used in the photon-counting mode. Output frequency is shown to be linear with light intensity from 5 Hz to 800 kHz. Comparisons with commercially available instruments show an inherent sensitivity superior to a commercially available filter instrument and comparable to that of a spectrofluorometer. Results are included showing the applicability of the instrument to the kinetic determination of lactate dehydrogenase in serum.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chang-Lae Lee ◽  
Key Jo Hong ◽  
Namwoo Kim ◽  
Kwanhee Han ◽  
Dongkyu Kim ◽  
...  

AbstractIn this study, preclinical experiments were performed with an in-house developed prototypal photon-counting detector computed tomography (PCD CT) system. The performance of the system was compared with the conventional energy-integrating detector (EID)-based CT, concerning the basic image quality biomarkers and the respective capacities for material separation. The pre- and the post-contrast axial images of a canine brain captured by the PCD CT and EID CT systems were found to be visually similar. Multi-energy images were acquired using the PCD CT system, and machine learning-based material decomposition was performed to segment the white and gray matters for the first time in soft tissue segmentation. Furthermore, to accommodate clinical applications that require high resolution acquisitions, a small, native, high-resolution (HR) detector was implemented on the PCD CT system, and its performance was evaluated based on animal experiments. The HR acquisition mode improved the spatial resolution and delineation of the fine structures in the canine’s nasal turbinates compared to the standard mode. Clinical applications that rely on high-spatial resolution expectedly will also benefit from this resolution-enhancing function. The results demonstrate the potential impact on the brain tissue segmentation, improved detection of the liver tumors, and capacity to reconstruct high-resolution images both preclinically and clinically.


Author(s):  
Okkyun Lee ◽  
Kishore Rajendran ◽  
Christoph Polster ◽  
Karl Stierstorfer ◽  
Steffen Kappler ◽  
...  

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