Nonrigid registration using free-form deformations: application to breast mr images

Rueckert, D.; Sonoda, L.I.; Hayes, C.; Hill, D.L.G.; Leach, M.O.; Hawkes, D.J.

doi:10.1109/42.796284

Cited by 5,265Medical Image Segmentation TechniquesAdvanced Radiotherapy TechniquesMRI in cancer diagnosis

Nonrigid registration using free-form deformations: application to breast mr images

Rueckert, D., Sonoda, L.I., Hayes, C., Hill, D.L.G., Leach, M.O., Hawkes, D.J.·1999·IEEE Transactions on Medical Imaging

DOI 10.1109/42.796284

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Abstract

In this paper we present a new approach for the nonrigid registration of contrast-enhanced breast MRI. A hierarchical transformation model of the motion of the breast has been developed. The global motion of the breast is modeled by an affine transformation while the local breast motion is described by a free-form deformation (FFD) based on B-splines. Normalized mutual information is used as a voxel-based similarity measure which is insensitive to intensity changes as a result of the contrast enhancement. Registration is achieved by minimizing a cost function, which represents a combination of the cost associated with the smoothness of the transformation and the cost associated with the image similarity. The algorithm has been applied to the fully automated registration of three-dimensional (3-D) breast MRI in volunteers and patients. In particular, we have compared the results of the proposed nonrigid registration algorithm to those obtained using rigid and affine registration techniques. The results clearly indicate that the nonrigid registration algorithm is much better able to recover the motion and deformation of the breast than rigid or affine registration algorithms.

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Traditional registration algorithms are constructed as continuous optimization problems or discrete optimization problems.
“The traditional registration algorithms are constructed as continuous optimization problems (15, 16) or discrete optimization problems (17).”
From A review of deep learning-based deformable medical image registration (2022) · cites this paper as [16]

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Authors: Rueckert, D., Sonoda, L. I., Hayes, C., Hill, D. L. G., Leach, M. O., & Hawkes, D. J.
Affiliations: Guy's Hospital (GB)
Institute of Cancer Research (GB)
ORCID: Rueckert, D.
Hill, D.L.G.
Leach, M.O.
Hawkes, D.J.
Venue: IEEE Transactions on Medical Imaging
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 1999
Volume: 18
Issue: 8
Pages: 712-721
ISSN: 0278-0062 (ISSN-L)
DOI: 10.1109/42.796284
OpenAlex: W2113576511
Cited by: 5,265
References: 2
Citations by year: 2026: 100 · 2025: 151 · 2024: 155 · 2023: 156 · 2022: 159 · 2021: 194 · 2020: 216 · 2019: 204 · 2018: 238 · 2017: 267 · 2016: 283 · 2015: 315 · 2014: 317 · 2013: 345 · 2012: 337
FWCI: 35.11
Type: journal article
Language: en
Open access: closed
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations: IEEE Transactions on Medical Imaging (publishedVersion)
PubMed (publishedVersion)
UCL Discovery (University College London) (submittedVersion)
Topics: Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
Physical Sciences › Physics and Astronomy › Radiation › Advanced Radiotherapy Techniques
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › MRI in cancer diagnosis
Keywords: non-rigid registration, free-form deformation, breast MRI, contrast-enhanced MRI, B-splines, normalized mutual information, affine transformation, automatic image registration
MeSH terms: Breast, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging

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Nonrigid registration using free-form deformations: application to breast mr images

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