Computational analysis of optical coherence tomography images for the detection of soft tissue sarcomas

Author(s):  
Shang Wang ◽  
Narendran Sudheendran ◽  
Chih-Hao Liu ◽  
Ravi K. Manapuram ◽  
Valery P. Zakharov ◽  
...  
2013 ◽  
Vol 19 (2) ◽  
pp. 021102 ◽  
Author(s):  
Shang Wang ◽  
Chih-Hao Liu ◽  
Valery P. Zakharov ◽  
Alexander J. Lazar ◽  
Raphael E. Pollock ◽  
...  

2020 ◽  
Vol 50 (1) ◽  
pp. 111-120
Author(s):  
Josephine A. Dornbusch ◽  
Laura E. Selmic ◽  
Pin‐Chieh Huang ◽  
Jonathan P. Samuelson ◽  
Eric M. McLaughlin ◽  
...  

Author(s):  
Julia Walther ◽  
Jonas Golde ◽  
Marius Albrecht ◽  
Bryden Quirk ◽  
Loretta Scolaro ◽  
...  

Diagnostics ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 827
Author(s):  
Marius Albrecht ◽  
Christian Schnabel ◽  
Juliane Mueller ◽  
Jonas Golde ◽  
Edmund Koch ◽  
...  

To date, there is still a lack of reliable imaging modalities to improve the quality of consultation, diagnostic and medical examinations of the oral mucosa in dentistry. Even though, optical technologies have become an important element for the detection and treatment of different diseases of soft tissue, for the case of oral screenings the evidence of the benefit in comparison to conventional histopathology is mostly still pending. One promising optical technology for oral diagnostics is optical coherence tomography (OCT). To prove the potential of OCT, even the amount of freely accessible OCT data is not sufficient to describe the variance of healthy human oral soft tissue in vivo. In order to remedy this deficiency, the present study provides in vivo OCT cross sections of the human oral mucosa of the anterior and posterior oral cavity as well as the oropharynx of 47 adult volunteers. A collection of representative OCT cross sections forms the basis for a randomized blinded image analysis by means of seven criteria to assess the main features of the superficial layers of the human oral mucosa and to determine its correlation to regional features known from hematoxylin and eosin (HE) stained histology.


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