Comparison of three methods for registration of abdominal/pelvic volume data sets from functional-anatomic scans

Faaiza Mahmoud; Anthony Ton; Joakim Crafoord; Elissa L. Kramer; Gerald Q. Maguire Jr.; Marilyn E. Noz; Michael P. Zeleznik

doi:10.1117/12.387648

6 June 2000 Comparison of three methods for registration of abdominal/pelvic volume data sets from functional-anatomic scans

Faaiza Mahmoud, Anthony Ton, Joakim Crafoord, Elissa L. Kramer, Gerald Q. Maguire Jr., Marilyn E. Noz, Michael P. Zeleznik

Author Affiliations +

Proceedings Volume 3979, Medical Imaging 2000: Image Processing; (2000) https://doi.org/10.1117/12.387648
Event: Medical Imaging 2000, 2000, San Diego, CA, United States

Abstract

The purpose of this work was to evaluate three volumetric registration methods in terms of technique, user-friendliness and time requirements. CT and SPECT data from 11 patients were interactively registered using: a 3D method involving only affine transformation; a mixed 3D - 2D non-affine (warping) method; and a 3D non-affine (warping) method. In the first method representative isosurfaces are generated from the anatomical images. Registration proceeds through translation, rotation, and scaling in all three space variables. Resulting isosurfaces are fused and quantitative measurements are possible. In the second method, the 3D volumes are rendered co-planar by performing an oblique projection. Corresponding landmark pairs are chosen on matching axial slice sets. A polynomial warp is then applied. This method has undergone extensive validation and was used to evaluate the results. The third method employs visualization tools. The data model allows images to be localized within two separate volumes. Landmarks are chosen on separate slices. Polynomial warping coefficients are generated and data points from one volume are moved to the corresponding new positions. The two landmark methods were the least time consuming (10 to 30 minutes from start to finish), but did demand a good knowledge of anatomy. The affine method was tedious and required a fair understanding of 3D geometry.

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Faaiza Mahmoud, Anthony Ton, Joakim Crafoord, Elissa L. Kramer, Gerald Q. Maguire Jr., Marilyn E. Noz, and Michael P. Zeleznik "Comparison of three methods for registration of abdominal/pelvic volume data sets from functional-anatomic scans", Proc. SPIE 3979, Medical Imaging 2000: Image Processing, (6 June 2000); https://doi.org/10.1117/12.387648

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KEYWORDS

Single photon emission computed tomography

Image registration

Liver

Visualization

3D metrology

Data modeling

3D displays

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