scholarly journals Channelized Hotelling observer correlation with human observers for low-contrast detection in liver CT images

2019 ◽  
Vol 6 (02) ◽  
pp. 1 ◽  
Keyword(s):  
Ct Images ◽  
Low Contrast ◽  
Liver Ct ◽  
Contrast Detection ◽  
Hotelling Observer ◽  
Channelized Hotelling Observer

scholarly journals Correlation between a 2D channelized Hotelling observer and human observers in a low‐contrast detection task with multislice reading in CT

2017 ◽  
Vol 44 (8) ◽  
pp. 3990-3999 ◽  
Author(s):  
Lifeng Yu ◽  
Baiyu Chen ◽  
James M. Kofler ◽  
Christopher P. Favazza ◽  
Shuai Leng ◽  
...  
Keyword(s):  
Detection Task ◽  
Low Contrast ◽  
Contrast Detection ◽  
Hotelling Observer ◽  
Channelized Hotelling Observer

CHARACTERIZATION OF TWO CT SYSTEMS USING A CHANNELIZED HOTELLING OBSERVER AND NPS METRIC

2020 ◽  
Vol 189 (2) ◽  
pp. 224-233
Author(s):  
O Ortenzia ◽  
A D’Alessio ◽  
L Noferini ◽  
C Ghetti
Keyword(s):  
Computed Tomography ◽  
Peak Shift ◽  
Image Texture ◽  
Noise Power ◽  
Ct Image ◽  
Back Projection ◽  
Low Contrast ◽  
Hotelling Observer ◽  
Channelized Hotelling Observer

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.

scholarly journals Objective assessment of low contrast detectability in computed tomography with Channelized Hotelling Observer

2016 ◽  
Vol 32 (1) ◽  
pp. 76-83 ◽  
Author(s):  
Damien Racine ◽  
Alexandre H. Ba ◽  
Julien G. Ott ◽  
François O. Bochud ◽  
Francis R. Verdun
Keyword(s):  
Computed Tomography ◽  
Objective Assessment ◽  
Low Contrast ◽  
Hotelling Observer ◽  
Channelized Hotelling Observer

Region-growing fully convolutional neural network interactive segmentation of liver CT images

2021 ◽  
Vol 36 (9) ◽  
pp. 1294-1304
Author(s):  
Li-juan ZHANG ◽  
◽  
Run ZHANG ◽  
Dong-ming LI ◽  
Yang LI ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Region Growing ◽  
Ct Images ◽  
Interactive Segmentation ◽  
Liver Ct

scholarly journals Dual-rotation C-arm cone-beam computed tomography to increase low-contrast detection

2017 ◽  
Vol 44 (9) ◽  
pp. e164-e173
Author(s):  
Aymeric Reshef ◽  
Cyril Riddell ◽  
Yves Trousset ◽  
Saïd Ladjal ◽  
Isabelle Bloch
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Low Contrast ◽  
Contrast Detection ◽  
Dual Rotation
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