A comprehensive study of stent visualization enhancement in X-ray images by image processing means

Medical Image Analysis

Volumn 15, Issue 4, 2011, Pages 565-576

  Bismuth, Vincent ^a,b   Vaillant, Régis ^a   Funck, François ^c   Guillard, Niels ^c   Najman, Laurent ^b  

^a General Electric   (France)

^b UNIVERSITÉ PARIS EST   (France)

^c CENTRE HOSPITALIER RENÉ DUBOS   (France)

Author keywords

Image enhancement; Registration; Segmentation; Stent; X ray imaging

Indexed keywords

AUTOMATIC DETECTION; CLINICAL APPLICATION; COMPREHENSIVE STUDIES; CONTRAST ENHANCEMENT; COVERING PROBLEMS; EXECUTION TIME; NON-LINEAR; REGISTRATION; STENT; STENT VISUALIZATION; VALIDATION STRATEGIES; X-RAY IMAGE; XRAY IMAGING;

ALGORITHMS; IMAGE QUALITY; VISUALIZATION; X RAY ANALYSIS;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATION; CONTRAST ENHANCEMENT; CONTROLLED STUDY; GUIDE WIRE; HUMAN; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE QUALITY; NOISE; PRIORITY JOURNAL; STENT; VALIDATION PROCESS; X RAY;

ALGORITHMS; BLOOD VESSEL PROSTHESIS; CORONARY ANGIOGRAPHY; CORONARY ARTERY DISEASE; HUMANS; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; STENTS;

EID: 79958770375     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2011.03.002     Document Type: Article

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