Non-rigid registration of mammograms obtained with variable breast compression : A phantom study
(2003) In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2717. p.281-290- Abstract
The amount of breast compression applied during a mammographic exam affects the appearance of mammograms by introducing variations in the shape, position, and contrast of breast anatomical structures, which can conceal existing breast abnormalities or generate false alarms. Due to the complex tissue organization and elastic properties of the breast and the projective nature of mammography, rigid registration approaches are not useful in correcting these variations. We describe a non-rigid approach focused on registration of mammogram regions of interest, taking into account the changes in image contrast. This registration algorithm has been applied to synthetic mammograms generated using a deformable 3D anthropomorphic phantom and a... (More)
The amount of breast compression applied during a mammographic exam affects the appearance of mammograms by introducing variations in the shape, position, and contrast of breast anatomical structures, which can conceal existing breast abnormalities or generate false alarms. Due to the complex tissue organization and elastic properties of the breast and the projective nature of mammography, rigid registration approaches are not useful in correcting these variations. We describe a non-rigid approach focused on registration of mammogram regions of interest, taking into account the changes in image contrast. This registration algorithm has been applied to synthetic mammograms generated using a deformable 3D anthropomorphic phantom and a model of breast deformation during mammographic compression.
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- author
- Richard, Frédéric J.P. ; Bakić, Predrag R. LU and Maidment, Andrew D.A.
- publishing date
- 2003
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Breast compression, Finite elements, Image registration, Mammogram synthesis, Mammography, Multigrid optimization, Multimodality registration, Partial differential equations, Tissue modeling
- host publication
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
- series title
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
- editor
- Gee, James C. ; Maintz, J. B. Antoine and Vannier, Michael W.
- volume
- 2717
- pages
- 10 pages
- publisher
- Springer
- external identifiers
-
- scopus:0142214588
- ISSN
- 0302-9743
- 1611-3349
- ISBN
- 3540203435
- 9783540203438
- DOI
- 10.1007/978-3-540-39701-4_30
- language
- English
- LU publication?
- no
- id
- 226c04b2-15ba-4882-9a9c-c2a1aead43f9
- date added to LUP
- 2020-11-07 13:24:12
- date last changed
- 2024-01-02 21:20:03
@inbook{226c04b2-15ba-4882-9a9c-c2a1aead43f9,
abstract = {{<p>The amount of breast compression applied during a mammographic exam affects the appearance of mammograms by introducing variations in the shape, position, and contrast of breast anatomical structures, which can conceal existing breast abnormalities or generate false alarms. Due to the complex tissue organization and elastic properties of the breast and the projective nature of mammography, rigid registration approaches are not useful in correcting these variations. We describe a non-rigid approach focused on registration of mammogram regions of interest, taking into account the changes in image contrast. This registration algorithm has been applied to synthetic mammograms generated using a deformable 3D anthropomorphic phantom and a model of breast deformation during mammographic compression.</p>}},
author = {{Richard, Frédéric J.P. and Bakić, Predrag R. and Maidment, Andrew D.A.}},
booktitle = {{Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}},
editor = {{Gee, James C. and Maintz, J. B. Antoine and Vannier, Michael W.}},
isbn = {{3540203435}},
issn = {{0302-9743}},
keywords = {{Breast compression; Finite elements; Image registration; Mammogram synthesis; Mammography; Multigrid optimization; Multimodality registration; Partial differential equations; Tissue modeling}},
language = {{eng}},
pages = {{281--290}},
publisher = {{Springer}},
series = {{Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}},
title = {{Non-rigid registration of mammograms obtained with variable breast compression : A phantom study}},
url = {{http://dx.doi.org/10.1007/978-3-540-39701-4_30}},
doi = {{10.1007/978-3-540-39701-4_30}},
volume = {{2717}},
year = {{2003}},
}