Paper
9 May 2002 Finite-element based validation of nonrigid registration using single- and multilevel free-form deformations: application to contrast-enhanced MR mammography
Julia Anne Schnabel, Christine Tanner, Andrew D. Castellano-Smith, Andreas Degenhard, Carmel Hayes, Martin O. Leach, D. Rodney Hose, Derek L.G. Hill, David John Hawkes
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Abstract
This work presents a validation study for non-rigid registration of 3D contrast enhanced magnetic resonance mammography images. We are using our previously developed methodology for simulating physically plausible, biomechanical tissue deformations using finite element methods to compare two non-rigid registration algorithms based on single-level and multi-level free-form deformations using B-splines and normalized mutual information. We have constructed four patient-specific finite element models and applied the solutions to the original post-contrast scans of the patients, simulating tissue deformation between image acquisitions. The original image pairs were registered to the FEM-deformed post-contrast images using different free-form deformation mesh resolutions. The target registration error was computed for each experiment with respect to the simulated gold standard on a voxel basis. Registration error and single-level free-form deformation resolution were found to be intrinsically related: the smaller the spacing, the higher localized errors, indicating local registration failure. For multi-level free-form deformations, the registration errors improved for increasing mesh resolution. This study forms an important milestone in making our non-rigid registration framework applicable for clinical routine use.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Julia Anne Schnabel, Christine Tanner, Andrew D. Castellano-Smith, Andreas Degenhard, Carmel Hayes, Martin O. Leach, D. Rodney Hose, Derek L.G. Hill, and David John Hawkes "Finite-element based validation of nonrigid registration using single- and multilevel free-form deformations: application to contrast-enhanced MR mammography", Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); https://doi.org/10.1117/12.467197
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Cited by 4 scholarly publications.
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KEYWORDS
Image registration

Finite element methods

Tissues

Breast

Mammography

Computer simulations

Tumor growth modeling

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