Outlining of the prostate using snakes with shape restrictions based on the wavelet transform (Doctoral Thesis: Dissertation)

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摘要

This paper considers the problem of deformable contour initialization and modeling for segmentation of the human prostate in medical images. We propose a new technique for elastic deformation restriction to particular object shapes of any closed planar curve using localized multiscale contour parameterization based on the 1D dyadic wavelet transform. For this purpose we define internal curve deformation forces as a result of multiscale parametrical contour analysis. The form restricted contour deformation and its initialization by template matching are performed in a coarse to fine segmentation process based on a multiscale image edge representation containing the important edges of the image at various scales. The method is useful for 3D conformal radiotherapy planning and automatic prostate volume measurements in ultrasonographic diagnosis.

论文关键词:Object detection,Image understanding,Multiscale analysis,Wavelet transform,Medical image segmentation,Snakes,Deformation restriction,3D conformal radiotherapy,Benign prostate enlargement,Cancer diagnosis

论文评审过程:Received 9 December 1997, Revised 18 November 1998, Accepted 18 November 1998, Available online 7 June 2001.

论文官网地址:https://doi.org/10.1016/S0031-3203(98)00177-0