Esmeraldo Dos Santos Filho1, Makoto Yoshizawa2, Akira Tanaka3, Yoshifumi Saijo4, Takahiro Iwamoto5. 1. Graduate School of Engineering, Tohoku University, 6-6-5 Aoba, Aoba-ku, Sendai, 980-8579, Japan. santos@yoshizawa.ecei.tohoku.ac.jp. 2. Information Synergy Center, Tohoku University, Sendai, Japan. 3. College of Symbiotic System Science, Fukushima University, Fukushima, Japan. 4. Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan. 5. Graduate School of Engineering, Tohoku University, Sendai, Japan.
Abstract
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.
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.
Authors: Elisabeth Brusseau; Chris L de Korte; Frits Mastik; Johannes Schaar; Anton F W van der Steen Journal: IEEE Trans Med Imaging Date: 2004-05 Impact factor: 10.048
Authors: Jonathan Ophir; S Kaisar Alam; Brian S Garra; Faouzi Kallel; Elisa E Konofagou; Thomas Krouskop; Christopher R B Merritt; Raffaella Righetti; Remi Souchon; Seshadri Srinivasan; Tomy Varghese Journal: J Med Ultrason (2001) Date: 2002-12 Impact factor: 1.314