Automated detection of vessel lumen and stent struts in intravascular optical coherence tomography to evaluate stent apposition and neointimal coverage

Medical Physics

Volumn 43, Issue 4, 2016, Pages 1662-1675

  Nam, Hyeong Soo ^a   Kim, Chang Soo ^a   Lee, Jae Joong ^b   Song, Joon Woo ^b   Kim, Jin Won ^b   Yoo, Hongki ^a  

^a Hanyang University   (South Korea)

^b Korea University College of Medicine   (South Korea)

Author keywords

artificial neural network; image segmentation; neointimal covearge; optical coherence tomography; stent malapposition; stent thrombosis

Indexed keywords

BLOOD VESSELS; DISEASES; IMAGE SEGMENTATION; OPTICAL TOMOGRAPHY; STENTS; STRUTS;

AUTOMATED DETECTION; HIGH-RESOLUTION IMAGING; IMAGES SEGMENTATIONS; INTRAVASCULAR; NEOINTIMAL COVEARGE; SIDE EFFECT; STENT MALAPPOSITION; STENT THROMBOSE; VESSEL LUMEN; VESSEL STENTS;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CARDIOVASCULAR STENT; CLINICAL ARTICLE; COMPUTER INTERFACE; HUMAN; INTRAVASCULAR OPTICAL COHERENCE TOMOGRAPHY; MEASUREMENT ACCURACY; NEOINTIMA; OPTICAL COHERENCE TOMOGRAPHY; OPTICAL COHERENCE TOMOGRAPHY DEVICE; PREDICTIVE VALUE; STENT MALAPPOSITION; THICKNESS; VALIDATION PROCESS; AUTOMATION; CORONARY BLOOD VESSEL; DIAGNOSTIC IMAGING; IMAGE PROCESSING; PROCEDURES; STENT; TIME FACTOR;

AUTOMATION; CORONARY VESSELS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; NEOINTIMA; NEURAL NETWORKS (COMPUTER); STENTS; TIME FACTORS; TOMOGRAPHY, OPTICAL COHERENCE; USER-COMPUTER INTERFACE;

EID: 84962582664     PISSN: 00942405     EISSN: 24734209     Source Type: Journal    
DOI: 10.1118/1.4943374     Document Type: Article

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