| MRI to X-ray mammography registration using a volume-preserving affine transformation. | |
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MedLine Citation:
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PMID: 22513136 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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X-ray mammography is routinely used in national screening programmes and as a clinical diagnostic tool. Magnetic Resonance Imaging (MRI) is commonly used as a complementary modality, providing functional information about the breast and a 3D image that can overcome ambiguities caused by the superimposition of fibro-glandular structures associated with X-ray imaging. Relating findings between these modalities is a challenging task however, due to the different imaging processes involved and the large deformation that the breast undergoes. In this work we present a registration method to determine spatial correspondence between pairs of MR and X-ray images of the breast, that is targeted for clinical use. We propose a generic registration framework which incorporates a volume-preserving affine transformation model and validate its performance using routinely acquired clinical data. Experiments on simulated mammograms from 8 volunteers produced a mean registration error of 3.8±1.6mm for a mean of 12 manually identified landmarks per volume. When validated using 57 lesions identified on routine clinical CC and MLO mammograms (n=113 registration tasks) from 49 subjects the median registration error was 13.1mm. When applied to the registration of an MR image to CC and MLO mammograms of a patient with a localisation clip, the mean error was 8.9mm. The results indicate that an intensity based registration algorithm, using a relatively simple transformation model, can provide radiologists with a clinically useful tool for breast cancer diagnosis. |
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Authors:
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Thomy Mertzanidou; John Hipwell; M Jorge Cardoso; Xiying Zhang; Christine Tanner; Sebastien Ourselin; Ulrich Bick; Henkjan Huisman; Nico Karssemeijer; David Hawkes |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-3-28 |
Journal Detail:
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Title: Medical image analysis Volume: - ISSN: 1361-8423 ISO Abbreviation: - Publication Date: 2012 Mar |
Date Detail:
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Created Date: 2012-4-19 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9713490 Medline TA: Med Image Anal Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2012 Elsevier B.V. All rights reserved. |
Affiliation:
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Centre for Medical Image Computing, University College London, Gower Street, London WC1E 6BT, UK. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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