Automated measurement of epidermal thickness from optical coherence tomography images using line region growing

2010 ◽  
Author(s):  
Jomer Delacruz ◽  
Jesse Weissman ◽  
Kirk Gossage
2014 ◽  
Vol 170 (3) ◽  
pp. 737-739 ◽  
Author(s):  
T. Gambichler ◽  
K. Valavanis ◽  
I. Plura ◽  
D. Georgas ◽  
P. Kampilafkos ◽  
...  

2015 ◽  
Vol 66 (4) ◽  
pp. 558-570 ◽  
Author(s):  
Chi Young Ahn ◽  
Byeong-Keuk Kim ◽  
Myeong-Ki Hong ◽  
Yangsoo Jang ◽  
Jung Heo ◽  
...  

2014 ◽  
Vol 19 (2-3) ◽  
pp. 151-160 ◽  
Author(s):  
Joanna Sekulska-Nalewajko ◽  
Jarosław Gocławski ◽  
Marzena Wielanek ◽  
Ewa Gajewska ◽  
Szymon Tamborski

Abstract This paper presents a method of automatic recognition of thiarubrine canals in images obtained with Optical Coherence Tomography technique. The plant material was the Ri-transformed root culture of South American herb Schkuhria pinnata. The series of highresolution OCT B-scans for the study were collected using custom made experimental system operating light of 800 nm central wavelength. The method reduces significant artefacts and uses region growing approach adapted to specific features of OCT images. Results of the identification have been compared with data obtained by specialist for selected B-scans. The algorithm accuracy was also verified using a simple numeric phantom.


Dermatology ◽  
2008 ◽  
Vol 217 (1) ◽  
pp. 14-20 ◽  
Author(s):  
Mette Mogensen ◽  
Hanan A. Morsy ◽  
Lars Thrane ◽  
Gregor B.E. Jemec

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