IVUS for Abdominal Aorta Aneurysm Analysis
Intravascular ultrasound images are proving their importance for coronary vessels. However, one should not think that cardiology is the only useful application of these images. Given their excellent properties intraoperative images as well as providing morphological information about tissue structure and composition , IVUS images are generating increasing clinical interest in diagnosis and therapy of abdominal aortic aneurysms. It has been reported that determination of fixation sites and...
Key Words in Chapter 5 Segmentation of Retinal Fundus Vasculature in
wavelet transform mathematical morphology proliferative retinopathy complexity preprocessing postprocessing Resolution gray-level singularity Mexican hat derivative of Gaussian edge Key Words in Chapter 6 Automated Model-Based Segmentation, Tracing, and Analysis of Retinal Vasculature from Digital Fundus Images
Figure 1025
10.9 Extraction of Three-Dimensional Measurements from Angiograms Presently, medical imaging techniques in particular, angiograms are not only supposed to give qualitative information, but also quantitative measurements about the objects to be analyzed. Whereas the technique of angiogram was developed to obtain images from the coronary vessels from different views, measurements of the vessels became necessary very soon thereafter. This is the case with the determination of stent size. When the...
Info Vcm
The major disadvantages of the system included 1. The model was not capable of understanding the forking or bifurcation behavior of the vessels. Thus, it was very difficult to design all the possible three-dimensional configurations, at least the detection of these deviations from the model and the re-initialization of the tracking procedure along these branches. 2. The window must be adaptive in size and only one vessel should be observed during the tracking procedure. 3. The fundamental...
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1. P. Kearney, I. Starkey, and G. Sutherland. Intracoronary ultrasound current state of the art, Br. Heart J., 73 2 , 1995. 2. A. Colombo, P. Hall, et al. Intravascular stenting without anticoagulation accomplished with intravascular ultrasound guidance, Circulation, 91 2 , 1676-1688, 1995. 3. X. Zhang, C. R. McKay, and M. Sonka. Tissue characterization in intravascular ultrasound, IEEE Trans. Med. Imag., 17 6 , 889-899, 1998. 4. J. K. Morton. The Cardiac Catheterization Handbook, Mosby-Year...
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21. Can, A., Shen, H., Turner, J., Tanenbaum, H., and Roysam, B., Rapid Automated Tracing and Feature Extraction from Live High-Resolution Retinal Fundus Images Using Direct Exploratory Algorithms, IEEE Trans. Information Technology in Biomedicine, Vol. 3, No. 2, pp. 125-138, 1999. 22. Can, A., Stewart, C., Roysam, B., and Tanenbaum, H., A Feature-Based Robust Hierarchical Algorithm for Registration Pairs of Images of the Curved Human Retina, IEEE Trans. Pattern Analysis and Machine...
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23. Roberts, D., Analysis of vessel absorption profiles in retinal oximetry, Med. Phys., Vol. 14, pp. 124-130,1987. 24. Brinchmann-Hansen, O. and Heier, H., Theoretical relations between light streak characteristics and optical properties of retinal vessels, Acta Opthalmologica, 3337, 1986. 25. Klingensmith, J. D., Shekhar, R., and Vince, D. G., Evaluation of three-dimensional segmentation algorithms for the identification of luminal and medial-adventitial borders in intravascular ultrasound...
References
1. Akita, K. and Kuga, H., A Computer Method of Understanding Ocular Fundus Images, Pattern Recognition, Vol. 15, No. 6, pp. 431-443, 1982. 2. Al-Kofahi, K., Lasek, S., Szarowski, D. H., Pace, C., Nagy, G., Turner, J. N., and Roysam B., Rapid Automated Three-Dimensional Tracing of Neurons from Con-focal Image Stacks, IEEE Trans. Information Technology in Biomedicine, accepted 2002. 3. Anarim, E., Aydinoglu, H., and Goknar, I. C., Decision Based Edge Detector, Signal Processing, Vol. 35, pp....
N J V N
where k is the iteration count, pk and pk 1 denote the current and new locations of the trace, a is a step size, sk e 0, 1, 2 N 1 is an integer index specifying one of N discretized angular directions usually N 16 , and k is a lateral displacement vector that centers the new point pk 1 on the vessel. In Figure 6.15, this is illustrated for a pair of intersecting vessels. The left and right directional kernels at 0 and 45 are also illustrated for the lower branch in Figure 6.15. The angle at...
Vascular Image Segmentation
One of the most common adaptations of global thresholding is connected components 24 . Connected components refers to a class of methods that augment intensity thresholding with the requirement that the points belonging to an object of interest must be continuous that is, they must be linked together by other object points having appropriate intensities in the volume. The behavior of this method is intuitive. It is illustrated in Figure 11.15 and in Figure 11.16. Variations on this method...