Title :
Vessel Extraction Under Non-Uniform Illumination: A Level Set Approach
Author :
Sum, K.W. ; Cheung, Paul Y S
Author_Institution :
Univ. of Hong Kong, Pokfulam
Abstract :
Vessel extraction is one of the critical tasks in clinical practice. This communication presents a new approach for vessel extraction using a level-set-based active contour by defining a novel local term that takes local image contrast into account. The proposed model not only preserves the performance of the existing models on blurry images, but also overcomes their inability to handle nonuniform illumination. The efficacy of the approach is demonstrated with experiments involving both synthetic images and clinical angiograms.
Keywords :
blood vessels; diagnostic radiography; feature extraction; image enhancement; image segmentation; medical image processing; angiogram segmentation; clinical angiograms; image contrast; level-set-based active contour; local contrast enhancement; medical image analysis; nonuniform illumination; synthetic images; vessel extraction; Active contours; Biomedical imaging; Image edge detection; Image motion analysis; Image segmentation; Level set; Lighting; Shape; Solid modeling; Statistics; Active contours; Vessel extraction; active contours; level set method; local contrast enhancement; medical image analysis; non-uniform illumination; nonuniform illumination; vessel extraction; Algorithms; Angiography; Artificial Intelligence; Blood Vessels; Humans; Imaging, Three-Dimensional; Information Storage and Retrieval; Lighting; Pattern Recognition, Automated; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2007.896587