Title :
3D segmentation of anisotropic structures using suitable moment-based 3D surface detection
Author :
Hamitouche, C. ; Jacq, J.J. ; Roux, C.
Author_Institution :
Dept. Image et Traitment de l´´Inf., Telecom Bretagne, Brest, France
Abstract :
This paper proposes an original approach to deal with 3D anisotropic medical databases by incorporating the anisotropic coefficient directly in the design of a 3D moment-based surface operator. This approach is based on a new continuous 3D surface model in order to adapt to information deficiency in the direction corresponding to the lowermost resolution, and avoid interpolation difficulties by using only the original slices. Results on synthetic and real data show the efficiency of the operator in detecting surfaces accurately
Keywords :
biomedical NMR; computerised tomography; edge detection; image resolution; image segmentation; medical image processing; 3D anisotropic medical databases; 3D moment-based surface operator; 3D segmentation; CT; MRI; anisotropic coefficient; anisotropic structures; continuous 3D surface model; design; efficiency; information deficiency; interpolation difficulties; moment-based 3D surface detection; real data; resolution; synthetic data; Anisotropic magnetoresistance; Biomedical imaging; Computed tomography; Databases; Image databases; Image sampling; Image segmentation; Interpolation; Magnetic resonance imaging; Pixel; Stacking;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.411867