TU-EF-204-11: Impact of Using Multi-Slice Training Sets On the Performance of a Channelized Hotelling Observer in a Low-Contrast Detection Task in CT

2015 ◽  
Vol 42 (6Part34) ◽  
pp. 3622-3622 ◽  
Author(s):  
C Favazza ◽  
L Yu ◽  
S Leng ◽  
C McCollough
2017 ◽  
Vol 44 (8) ◽  
pp. 3990-3999 ◽  
Author(s):  
Lifeng Yu ◽  
Baiyu Chen ◽  
James M. Kofler ◽  
Christopher P. Favazza ◽  
Shuai Leng ◽  
...  

2015 ◽  
Author(s):  
Chi Ma ◽  
Lifeng Yu ◽  
Baiyu Chen ◽  
Thomas Vrieze ◽  
Christopher Favazza ◽  
...  

2016 ◽  
Vol 3 (2) ◽  
pp. 023504 ◽  
Author(s):  
Chi Ma ◽  
Lifeng Yu ◽  
Baiyu Chen ◽  
Christopher Favazza ◽  
Shuai Leng ◽  
...  

2020 ◽  
Vol 189 (2) ◽  
pp. 224-233
Author(s):  
O Ortenzia ◽  
A D’Alessio ◽  
L Noferini ◽  
C Ghetti

Abstract We investigated the performances of two computed tomography (CT) systems produced by the same manufacturers (Somatom Flash and Edge Siemens) with different detector technologies (Ultrafast Ceramic and Stellar) and different generation of iterative reconstruction (IR) algorithms (SAFIRE and ADMIRE). A homemade phantom was scanned and the images were reconstructed with filtered back-projection (FBP) and IR algorithms. In terms of image quality, the performances of the systems were checked using the low-contrast detectability, evaluated by a Channelized Hotelling Observer (CHO), and the noise power spectrum (NPS). The analysis with CHO showed the best performance of Edge respect to Flash system for both FBP and IR algorithms. This better behavior, which reaches 20%, has been ascribed to the Stellar detector. From the NPS analysis, the noise reduction due to Stellar detector was 57%, moreover ADMIRE algorithm preserves a more traditional CT image texture appearance versus SAFIRE due to a lower NPS peak shift.


2016 ◽  
Vol 32 (1) ◽  
pp. 76-83 ◽  
Author(s):  
Damien Racine ◽  
Alexandre H. Ba ◽  
Julien G. Ott ◽  
François O. Bochud ◽  
Francis R. Verdun

Sign in / Sign up

Export Citation Format

Share Document