F. Rousseau, R. Fablet, C. Barillot. Robust Statistical Registration of 3D Ultrasound Images Using Texture Information. In IEEE Int. Conf. on Image Processing, ICIP'03, Barcelona, Spain, September 2003.
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We investigate a new registration method for ultrasound volumes relying on on a statistical texture-based similarity measure. Texture information is given by spatial Gabor filters and represented by statistical kernel-based distributions. The registration similarity measure is then defined as a probabilistic distance, derived from Bhattacharyya coefficient, between two statistical distributions. Given this similarity measure, parametric ultrasound image registration is stated as a robust minimization issue. We also exploit frequency properties of spatial Gabor filters to propose a multiresolution approach to perform this minimization. We provide a preliminary evaluation of the new registration technique on clinical data
@InProceedings{Rousseau03b,
Author = {Rousseau, F. and Fablet, R. and Barillot, C.},
Title = {Robust Statistical Registration of 3D Ultrasound Images Using Texture Information},
BookTitle = {IEEE Int. Conf. on Image Processing, ICIP'03},
Address = {Barcelona, Spain},
Month = {September},
Year = {2003}
}
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