DocumentCode :
3562935
Title :
A new method for automatic lumen detection in intracoronary OCT images
Author :
Soltanizadeh, Hadi ; Oshterinan, Setareh Rezaee
Author_Institution :
Dept. of Electr. & Comput. Eng., Semnan Univ., Semnan, Iran
fYear :
2014
Firstpage :
186
Lastpage :
189
Abstract :
Intracoronary optical coherence tomography (OCT) is a catheter based medical imaging technique that provide high resolution imaging of coronary lumen structures. However these images affected by catheter and stents shadows during pullback procedure. In order to overcome this problem, we present a new approach to detect the lumen boundary automatically using fuzzy system. At the first, the OCT images are mapped into the normalized polar OCT (NPOCT) space, and then primal lumen boundary is estimated by image processing methods. Afterwards, lumen boundary is detected by a fuzzy system precisely. Finally the results are remapped into the OCT image space. The proposed approach is compared with manual lumen detection (MLD), and HD and AD distance results are obtained.
Keywords :
biomedical optical imaging; blood vessels; catheters; fuzzy set theory; medical image processing; optical tomography; automatic lumen boundary detection; catheter based medical imaging technique; coronary lumen structures; fuzzy system; image processing methods; intracoronary OCT images; intracoronary optical coherence tomography; polar OCT space; primal lumen boundary; pullback procedure; stents; Biomedical engineering; Charge coupled devices; Conferences; Educational institutions; Hafnium; NPOCT; fuzzy system; lumen detection; thresholding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering (ICBME), 2014 21th Iranian Conference on
Print_ISBN :
978-1-4799-7417-7
Type :
conf
DOI :
10.1109/ICBME.2014.7043918
Filename :
7043918
Link To Document :
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