URO-GAN: An untrustworthy region optimization approach for adipose tissue segmentation based on adversarial learning

Author(s):  
Kaifei Shen ◽  
Hongyan Quan ◽  
Jun Han ◽  
Min Wu
2021 ◽  
pp. 1-9
Author(s):  
Amelie S. Troschel ◽  
Fabian M. Troschel ◽  
Georg Fuchs ◽  
J. Peter Marquardt ◽  
Jeanne B. Ackman ◽  
...  

2021 ◽  
Vol 8 ◽  
Author(s):  
Kacper Marunowski ◽  
Dominik Świętoń ◽  
Włodzimierz Bzyl ◽  
Małgorzata Grzywińska ◽  
Mariusz Kaszubowski ◽  
...  

The assessment of body composition in pediatric population is essential for proper nutritional support during hospitalization. However, currently available methods have limitations. This study aims to propose a novel approach for nutrition status assessment and introduce magnetic resonance imaging (MRI)-derived subcutaneous and visceral fat normative reference values. A total of 262 healthy subjects aged from 6 to 18 years underwent MRI examinations and anthropometric measurements. MRI images at the second lumbar vertebrae were used by two radiologists to perform the semi-automatic tissue segmentation. Based on obtained adipose tissue surface areas and body mass index (BMI) scores sex-specific standard percentile curves (3rd, 10th, 25th, 50th, 75th, 90th, 97th) and z-scores were constructed using LMS method. Additionally, 85th and 95th centiles of subcutaneous and visceral adipose tissue were proposed as equivalents of overweight and obesity. Bland-Altman plots revealed an excellent intra-observer reproducibility and inter-observer agreement. In conclusion, our findings demonstrate highly reproducible method and suggest that MRI-derived reference values can be implemented in clinical practice.


2018 ◽  
Vol 26 ◽  
pp. S457-S458 ◽  
Author(s):  
J. Kemnitz ◽  
F. Eckstein ◽  
A.G. Culvenor ◽  
A. Ruhdorfer ◽  
T. Dannhauer ◽  
...  

2019 ◽  
Vol 114 ◽  
pp. 103424 ◽  
Author(s):  
Carmelo Militello ◽  
Leonardo Rundo ◽  
Patrizia Toia ◽  
Vincenzo Conti ◽  
Giorgio Russo ◽  
...  

2021 ◽  
Author(s):  
Sevgi Gokce Kafali ◽  
Shu-Fu Shih ◽  
Xinzhou Li ◽  
Shilpy Chowdhury ◽  
Spencer Loong ◽  
...  

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