Detection of Cerebral Vessels in MRA Using 3D Steerable Filters

Author

Weiping, Zhou ; Huazhong, Shu

Author_Institution

Medical Imaging Laboratory, Southeast Univ., Nanjing

fYear

2006

Firstpage

3249

Lastpage

3252

Abstract

This paper describes a fully automatic method for enhancement and segmentation of three-dimensional(3D) cerebral vessels in MRA. We obtain the 3D dyadic B-spline wavelets by extending corresponding 1D wavelet. A 3D steerable filter is then developed based on 3D dyadic B-spline wavelets. One can adaptively steer the filter to an arbitrary direction. The oriented energy of filter response is introduced for detecting orientation strength of vessels in that direction. The points with maximum of local oriented energy across multiple scales are regarded as vessel points. This method was tested on real MRA data and promising results have been obtained. It could be suitable for other types of curvilinear structures such as cardiovascular vessels, bronchial tree

Keywords

biomedical MRI; blood vessels; brain; image enhancement; image segmentation; medical image processing; splines (mathematics); 3D dyadic B-spline wavelets; 3D steerable filters; MRA; bronchial tree; cardiovascular vessels; cerebral vessel detection; image enhancement; image segmentation; Band pass filters; Biomedical imaging; Data mining; Image edge detection; Image processing; Image segmentation; Multiresolution analysis; Spline; Wavelet analysis; Wavelet transforms; 3D dyadic wavelet transform; 3D steerable filter; cubic B-spline; oriented energy; vessel detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the

Conference_Location

Shanghai

Print_ISBN

0-7803-8741-4

Type

conf

DOI

10.1109/IEMBS.2005.1617169

Filename

1617169