Adaptive laplacian-gaussian filter method for edge detection and diameter estimation of coronary arteries on cineangiograms: Applications to phantom profiles
✍ Scribed by Takahiro Oie; Shunsuke Sato
- Book ID
- 104591540
- Publisher
- John Wiley and Sons
- Year
- 1992
- Tongue
- English
- Weight
- 807 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0882-1666
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✦ Synopsis
Abstract
Recently, the estimation of the vessel diameter and cross‐sectional area from the images of the coronary arteries has been considered, aiming at the quantitative diagnosis of the coronary artery stenoses. The edge detection of the vessel image is the clue to the estimation of the vessel diameter and the cross‐sectional area. However, no method has been established with a sufficient accuracy.
This paper proposes an adaptive Laplacian‐Gaussian filter method for the accurate edge detection of the vessel image which is an improvement of the zero‐crossing method. By the proposed method, it is shown that the edge is detected at the position corresponding to the vessel radius if the image of the vessel retains a similar shape even if the vessel diameter changes. On the other hand, the similarity of the vessel image is not maintained if there exists a blur in the imaging system.
It is shown also that the diameter can be estimated if the blur is represented by a Gaussian function. The blur of the imaging system is examined by a phantom experiment, and it is seen that the blur can be represented by the weighted sum of two Gaussian functions. Finally, it is shown that the proposed method can almost accurately extract the edge of the vessel image in such a case, and the vessel diameter can be estimated with a high accuracy.