scholarly journals The Feasibility Study of Megavoltage Computed Tomographic (MVCT) Image for Texture Feature Analysis

2018 ◽  
Vol 8 ◽  
Author(s):  
Jiabing Gu ◽  
Jian Zhu ◽  
Qingtao Qiu ◽  
Yungang Wang ◽  
Tong Bai ◽  
...  
Keyword(s):  
Feasibility Study ◽  
Texture Feature ◽  
Feature Analysis ◽  
Computed Tomographic

scholarly journals Longitudinal T2 Mapping and Texture Feature Analysis in the Detection and Monitoring of Experimental Post-Traumatic Cartilage Degeneration

Life ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 201
Author(s):  
Marc Sebastian Huppertz ◽  
Justus Schock ◽  
Karl Ludger Radke ◽  
Daniel Benjamin Abrar ◽  
Manuel Post ◽  
...  
Keyword(s):  
T2 Mapping ◽  
Energy Levels ◽  
Texture Feature ◽  
Basic Research ◽  
Cartilage Degeneration ◽  
Quantitative Mri ◽  
Degenerative Changes ◽  
Feature Analysis ◽  
Cartilage Defects ◽  
Cartilage Injuries

Background: Traumatic cartilage injuries predispose articulating joints to focal cartilage defects and, eventually, posttraumatic osteoarthritis. Current clinical-standard imaging modalities such as morphologic MRI fail to reliably detect cartilage trauma and to monitor associated posttraumatic degenerative changes with oftentimes severe prognostic implications. Quantitative MRI techniques such as T2 mapping are promising in detecting and monitoring such changes yet lack sufficient validation in controlled basic research contexts. Material and Methods: 35 macroscopically intact cartilage samples obtained from total joint replacements were exposed to standardized injurious impaction with low (0.49 J, n = 14) or high (0.98 J, n = 14) energy levels and imaged before and immediately, 24 h, and 72 h after impaction by T2 mapping. Contrast, homogeneity, energy, and variance were quantified as features of texture on each T2 map. Unimpacted controls (n = 7) and histologic assessment served as reference. Results: As a function of impaction energy and time, absolute T2 values, contrast, and variance were significantly increased, while homogeneity and energy were significantly decreased. Conclusion: T2 mapping and texture feature analysis are sensitive diagnostic means to detect and monitor traumatic impaction injuries of cartilage and associated posttraumatic degenerative changes and may be used to assess cartilage after trauma to identify “cartilage at risk”.

Partial preparation computed tomographic colonography: a feasibility study

2011 ◽  
Vol 36 (6) ◽  
pp. 707-712 ◽  
Author(s):  
C. Daniel Johnson ◽  
J. Scott Kriegshauser ◽  
Jeffrey T. Lund ◽  
Arthur D. Shiff ◽  
Qing Wu
Keyword(s):  
Feasibility Study ◽  
Computed Tomographic Colonography ◽  
Computed Tomographic

A Robust and Real-Time Face Anti-spoofing Method Based on Texture Feature Analysis

2019 ◽  
pp. 484-496
Author(s):  
Aasim Khurshid ◽  
Sergio Cleger Tamayo ◽  
Everlandio Fernandes ◽  
Mikhail R. Gadelha ◽  
Mauro Teofilo
Keyword(s):  
Real Time ◽  
Texture Feature ◽  
Feature Analysis
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