Knowledge-based 3-D segmentation of bloodvessels on a spatial sequence of MRI and Ultrasound images

D. Vandermeulen; C. Smets; P. Suetens; G. Marchal; J. Gybels; A. Oosterlinck

doi:10.1117/12.953255

25 May 1989 Knowledge-based 3-D segmentation of bloodvessels on a spatial sequence of MRI and Ultrasound images

D. Vandermeulen, C. Smets, P. Suetens, G. Marchal, J. Gybels, A. Oosterlinck

Proceedings Volume 1092, Medical Imaging III: Image Processing; (1989) https://doi.org/10.1117/12.953255
Event: Medical Imaging III, 1989, Newport Beach, CA, United States

Abstract

We report on work in progress on segmentation and presentation of three-dimensional vascular morphology on 3D MR and Doppler Ultrasound angiograms. The segmentation strategy is twofold. First, we enhance blood-vessel-like structures using 3D non-linear filters. Second, these images can be directly displayed or used as input to medium-level processes. The medium-level filters are cast in the framework of energy minimization using deformable models.

Citation Download Citation

D. Vandermeulen, C. Smets, P. Suetens, G. Marchal, J. Gybels, and A. Oosterlinck "Knowledge-based 3-D segmentation of bloodvessels on a spatial sequence of MRI and Ultrasound images", Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989); https://doi.org/10.1117/12.953255

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