Presentation 2015-03-19
Automatic Detection and Position Estimation of Stent from OCT Image of Circulatory Organ
Mineyuki Tsuda, Haiyuan Wu,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In recent years, Optical Coherence Tomography (OCT) has been used extensively in the medical field. However, there is no automatic detection function of the organization is to OCT. The present study to target the automatic detection of stent used in Percutaneous Coronary Intervention (PCI). At the beginning, to detect the candidate points of stent by Separability Filter and Local Peak Search. Because of the possibility of erroneous detection, to perform the features described by Direction-Invariant Brightness Based (DIBB) local features, and for identifying the Nearest Mean. Also, is carried out by fitting an ellipse to the position estimation of the stent that are not displayed.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Optical Coherence Tomography / Stent Detection / Separability Filter / Local Peak Search / Direction-Invariant Brightness Based Local Features
Paper # BioX2014-45,PRMU2014-165
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Conference Information
Committee PRMU
Conference Date 2015/3/12(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Automatic Detection and Position Estimation of Stent from OCT Image of Circulatory Organ
Sub Title (in English)
Keyword(1) Optical Coherence Tomography
Keyword(2) Stent Detection
Keyword(3) Separability Filter
Keyword(4) Local Peak Search
Keyword(5) Direction-Invariant Brightness Based Local Features
1st Author's Name Mineyuki Tsuda
1st Author's Affiliation Wakayama University()
2nd Author's Name Haiyuan Wu
2nd Author's Affiliation Wakayama University
Date 2015-03-19
Paper # BioX2014-45,PRMU2014-165
Volume (vol) vol.114
Number (no) 521
Page pp.pp.-
#Pages 6
Date of Issue