Histogram Analysis Using a Scale-Space Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
On active contour models and balloons
CVGIP: Image Understanding
Dynamic Programming for Detecting, Tracking, and Matching Deformable Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
An improved seeded region growing algorithm
Pattern Recognition Letters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Level-Set Based Carotid Artery Segmentation for Stenosis Grading
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
An approach for detecting blood vessel diseases from cone-beam CT image
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
A review of vessel extraction techniques and algorithms
ACM Computing Surveys (CSUR)
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Region growing: a new approach
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A new strategy for urinary sediment segmentation based on wavelet, morphology and combination method
Computer Methods and Programs in Biomedicine
Masseter segmentation using an improved watershed algorithm with unsupervised classification
Computers in Biology and Medicine
Vessels-Cut: a graph based approach to patient-specific carotid arteries modeling
3DPH'09 Proceedings of the 2009 international conference on Modelling the Physiological Human
Gradient based adaptive thresholding
Journal of Visual Communication and Image Representation
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The computer algorithms for the delineation of anatomical structures and other regions of interest on the medical imagery are important component in assisting and automating specific radiological tasks. In addition, the segmentation of region is an important first step for variety image related application and visualization tasks. In this paper, we propose a fast and automated connectivity-based local adaptive thresholding (CLAT) algorithm to segment the carotid artery in sequence medical imagery. This algorithm provides the new feature that is the circumscribed quadrangle on the segmented carotid artery for region-of-interest (ROI) determination. By using the preserved connectivity between consecutive slice images, the size of the ROI is adjusted like a moving window according to the segmentation result of previous slice image. The histogram is prepared for each ROI and then smoothed by local averaging for the threshold selection. The threshold value for carotid artery segmentation is locally selected on each slice image and is adaptively determined through the sequence image. In terms of automated features and computing time, this algorithm is more effective than region growing and deformable model approaches. This algorithm is also applicable to segment the cylinder shape structures and tree-like blood vessels such as renal artery and coronary artery in the medical imagery. Experiments have been conducted on synthesized images, phantom and clinical data sets with various Gaussian noise.