CT-Koronarangiographie mit „Step and Shoot“: Vergleich 256 Zeilen vs. 64 Zeilen

Author(s):  
OK Klass ◽  
A Siebach ◽  
S Feuerlein ◽  
M Juchems ◽  
T Stuber ◽  
...  
Keyword(s):  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Takayuki Shibutani ◽  
Masahisa Onoguchi ◽  
Yuka Naoi ◽  
Hiroto Yoneyama ◽  
Takahiro Konishi ◽  
...  

AbstractThe aim of this study was to demonstrate the usefulness of SwiftScan with a low-energy high-resolution and sensitivity (LEHRS) collimator for bone scintigraphy using a novel bone phantom simulating the human body. SwiftScan planar image of lateral view was acquired in clinical condition; thereafter, each planar image of different blend ratio (0–80%) of Crality 2D processing were created. SwiftScan planar images with reduced acquisition time by 25–75% were created by Poisson’s resampling processing. SwiftScan single photon emission computed tomography (SPECT) was acquired with step-and-shoot and continuous mode, and SPECT images were reconstructed using a three-dimensional ordered subset expectation maximization incorporating attenuation, scatter and spatial resolution corrections. SwiftScan planar image showed a high contrast to noise ratio (CNR) and low percent of the coefficient of variance (%CV) compared with conventional planar image. The CNR of the tumor parts in SwiftScan SPECT was higher than that of the conventional SPECT image of step and shoot acquisition, while the %CV showed the lowest value in all systems. In conclusion, SwiftScan planar and SPECT images were able to reduce the image noise compared with planar and SPECT image with a low-energy high-resolution collimator, so that SwiftScan planar and SPECT images could be obtained a high CNR. Furthermore, the SwiftScan planar image was able to reduce the acquisition time by 25% when the blend ratio of Clarity 2D processing set to more than 40%.


2006 ◽  
Vol 33 (5) ◽  
pp. 1199-1212 ◽  
Author(s):  
Shuang Luan ◽  
Chao Wang ◽  
Danny Z. Chen ◽  
Xiaobo S. Hu ◽  
Shahid A. Naqvi ◽  
...  

2017 ◽  
Vol 123 ◽  
pp. S1001-S1002
Author(s):  
T. Berlon ◽  
L. Specht ◽  
P.M. Petersen ◽  
L.S. Fog

Author(s):  
Pekka Kolmonen ◽  
Jouko Tervo ◽  
Kai Jaatinen ◽  
Tapani Lahtinen

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