High quality surface reconstruction in radiotherapy: Cross-sectional contours to 3D mesh using wavelets

A novel approach for three-dimensional (3D) surface reconstruction of anatomical structures in radiotherapy (RT) is presented. This is obtained from manual cross-sectional contours by combining both image voxel segmentation processing and implicit surface streaming methods using wavelets. 3D meshes reconstructed with the proposed approach are compared to those obtained from traditional triangulation algorithm. Qualitative and quantitative evaluations are performed in terms of mesh quality metrics. Differences in smoothness, detail and accuracy are observed in the comparison, considering three different anatomical districts and several organs at risk in radiotherapy. Overall best performances were recorded for the proposed approach, regardless the complexity of the anatomical structure. This demonstrates the efficacy of the proposed approach for the 3D surface reconstruction in radiotherapy and allows for further specific image analyses using real biomedical data.

[1]  Gill Barequet,et al.  Multilevel sensitive reconstruction of polyhedral surfaces from parallel slices , 2000, The Visual Computer.

[2]  P. Knupp.  Algebraic mesh quality metrics for unstructured initial meshes , 2003 .

[3]  Wei-Chung Lin,et al.  A new surface interpolation technique for reconstructing 3-D objects from serial cross sections , 1988, [1988 Proceedings] 9th International Conference on Pattern Recognition.

[4]  Philippe Pierre Pebay,et al.  The verdict geometric quality library. , 2006 .

[5]  Scott Schaefer,et al.  Dual marching cubes: primal contouring of dual grids , 2004, 12th Pacific Conference on Computer Graphics and Applications, 2004. PG 2004. Proceedings..

[6]  Nadia Magnenat-Thalmann,et al.  Surface from Scattered Points: A Brief Survey of Recent Developments , 2005 .

[7]  Chin-Tu Chen,et al.  A new surface interpolation technique for reconstructing 3D objects from serial cross-sections , 1989, Comput. Vis. Graph. Image Process..

[8]  Michael M. Kazhdan,et al.  Poisson surface reconstruction , 2006, SGP '06.

[9]  Hans-Christian Hege,et al.  amira: A Highly Interactive System for Visual Data Analysis , 2005, The Visualization Handbook.

[10]  Micha Sharir,et al.  Piecewise-Linear Interpolation between Polygonal Slices , 1996, Comput. Vis. Image Underst..

[11]  P. Knupp.  Achieving finite element mesh quality via optimization of the jacobian matrix norm and associated qu , 2000 .

[12]  William E. Lorensen,et al.  Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.

[13]  R Calandrino,et al.  An automatic contour propagation method to follow parotid gland deformation during head-and-neck cancer tomotherapy , 2011, Physics in medicine and biology.

[14]  Josiah Manson,et al.  Streaming Surface Reconstruction Using Wavelets , 2008, Comput. Graph. Forum.

[15]  Demetri Terzopoulos,et al.  Deformable models in medical image analysis: a survey , 1996, Medical Image Anal..

[16]  Gilbert R. Hillman,et al.  Three-dimensional reconstruction of irregular shapes based on a fitted mesh of contours , 2001, Image Vis. Comput..

[17]  Reinhard Klein,et al.  Reconstruction and simplification of surfaces from contours , 1999, Proceedings. Seventh Pacific Conference on Computer Graphics and Applications (Cat. No.PR00293).

[18]  Sunghee Choi,et al.  The power crust , 2001, SMA '01.

[19]  Reinhard Klein,et al.  Reconstruction and Simplification of Surfaces from Contours , 2000, Graph. Model..