Moment-based texture segmentation of luminal contour in intravascular ultrasound images.
OBJECTIVE
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.


CONCLUSIONS
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.
Graduate School of Engineering, Tohoku University, 6-6-5 Aoba, Aoba-ku, Sendai, 980-8579, Japan. santos@yoshizawa.ecei.tohoku.ac.jp.
Esmeraldo Dos Santos
Edos S
Filho
Information Synergy Center, Tohoku University, Sendai, Japan.
Makoto
M
Yoshizawa
College of Symbiotic System Science, Fukushima University, Fukushima, Japan.
Akira
A
Tanaka
Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Yoshifumi
Y
Saijo
Graduate School of Engineering, Tohoku University, Sendai, Japan.
Takahiro
T
Iwamoto
image segmentation; texture; ultrasound