Interslice interpolation of anisotropic 3D images using multiresolution contour correlation

Jiann-Der Lee; Shu-Yen Wan; Cherng-Min Ma

doi:10.1117/12.467068

9 May 2002 Interslice interpolation of anisotropic 3D images using multiresolution contour correlation

Jiann-Der Lee, Shu-Yen Wan, Cherng-Min Ma

Proceedings Volume 4684, Medical Imaging 2002: Image Processing; (2002) https://doi.org/10.1117/12.467068
Event: Medical Imaging 2002, 2002, San Diego, California, United States

Abstract

To visualize, manipulate and analyze the geometrical structure of anatomical changes, it is often required to perform three-dimensional (3-D) interpolation of the interested organ shape from a series of cross-sectional images obtained from various imaging modalities, such as ultrasound, computed tomography (CT), magnetic resonance imaging (MRI), etc. In this paper, a novel wavelet-based interpolation scheme, which consists of four algorithms are proposed to 3-D image reconstruction. The multi-resolution characteristics of wavelet transform (WT) is completely used in this approach, which consists of two stages, boundary extraction and contour interpolation. More specifically, a wavelet-based radial search method is first designed to extract the boundary of the target object. Next, the global information of the extracted boundary is analyzed for interpolation using WT with various bases and scales. By using six performance measures to evaluate the effectiveness of the proposed scheme, experimental results show that the performance of all proposed algorithms is superior to traditional contour-based methods, linear interpolation and B-spline interpolation. The satisfactory outcome of the proposed scheme provides its capability for serving as an essential part of image processing system developed for medical applications.

Citation Download Citation

Jiann-Der Lee, Shu-Yen Wan, and Cherng-Min Ma "Interslice interpolation of anisotropic 3D images using multiresolution contour correlation", Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); https://doi.org/10.1117/12.467068

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KEYWORDS

3D image processing

Wavelets

Computed tomography

Medical imaging

Visualization

Reconstruction algorithms

Wavelet transforms

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