A simple polar parameterisation method to show quantitative spatial variation between delineations on medical image datasets

Any single valued function over a sphere or cylinder can be parameterised in terms of the spherical or cylindrical coordinate systems respectively. An organ structure created during medical image segmentation can be written as such a function if the shape is polar (i.e. star shaped), the polar radial distance from a reference point inside the structure to its surface becoming a function of the polar parameters. The parameterisation allows shape variation (as a function of the polar parameters) between multiple structures to be analysed quantitatively, improving on the traditional measure of radiotherapy delineation variability, the delineated structures' volume statistics. We include an example inter-observer delineation variability case study. The parameterised variability maps were found to match well with measurements taken from superimposed contour outlines.

[1]  M. V. van Herk,et al.  Quantification of local rectal wall displacements by virtual rectum unfolding. , 2004, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[2]  Jerry L Prince,et al.  Current methods in medical image segmentation. , 2000, Annual review of biomedical engineering.

[3]  William H. Press,et al.  Numerical Recipes in FORTRAN - The Art of Scientific Computing, 2nd Edition , 1987 .

[4]  Frans Vos,et al.  Interactive 3D segmentation using connected orthogonal contours , 2004, Comput. Biol. Medicine.

[5]  Balraj Naren,et al.  Medical Image Registration , 2022 .

[6]  F. A. Seiler,et al.  Numerical Recipes in C: The Art of Scientific Computing , 1989 .

[7]  Martin D. Buhmann,et al.  Radial Basis Functions , 2021, Encyclopedia of Mathematical Geosciences.

[8]  Guido Gerig,et al.  Parametrization of Closed Surfaces for 3-D Shape Description , 1995, Comput. Vis. Image Underst..

[9]  Ward Cheney,et al.  A course in approximation theory , 1999 .

[10]  J. R. Williams,et al.  Radiotherapy physics : in practice , 2000 .

[11]  J. Wong,et al.  Flat-panel cone-beam computed tomography for image-guided radiation therapy. , 2002, International journal of radiation oncology, biology, physics.

[12]  D. Hill,et al.  Medical image registration , 2001, Physics in medicine and biology.

[13]  Jan Sijbers,et al.  Algorithm for the computation of 3D Fourier descriptors , 2002, Object recognition supported by user interaction for service robots.