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Moment-based texture segmentation of luminal contour in intravascular ultrasound images
Esmeraldo Dos Santos Filho1, Makoto Yoshizawa2, Akira Tanaka3
1Graduate School of Engineering, Tohoku University, 6-6-5 Aoba, Aoba-ku, Sendai, 980-8579, Japan. santos@yoshizawa.ecei.tohoku.ac.jp.
Purpose:
A system for luminal contour segmentation in intravascular ultrasound images is proposed.
Methods:
Moment-based texture features are used for clustering of the pixels in the input image. After the clustering, morphological smoothing and a boundary detection process are applied and the final image is obtained.
Results:
The proposed method was applied to 15 images from different patients, and a correlation coefficient of 0.86 was obtained between the areas of lumen automatically and manually defined.
Conclusion:
Moment-based texture features together with the radial feature are powerful tools for identification of the lumen region in intravascular ultrasound images. Morphological filtering was useful for improving the segmentation results.
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