| Edge intensity normalization as a bias field correction during balloon snake segmentation of breast MRI. | |
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MedLine Citation:
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PMID: 19163347 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Segmentation of fat suppressed dynamic contrast enhanced MRI (DCE-MRI) image data can pose significant problems because of the inherently poor signal-to-noise ratio (SNR) and intensity variations due to the bias field. Segmentation methods such as balloon snakes, while able to operate in a poor SNR environment, are sensitive to variations in edge intensity, which are regularly encountered within DCE-MRI due to the bias field. In order to overcome the effects of the bias field, an intensity normalization based on the strength of the strongest edge, i.e. the skin-air-boundary, is proposed and evaluated. This normalization allows balloon segmentations to be run three times faster while maintaining, or even improving accuracy. |
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Authors:
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Andrew Hill; Andrew Mehnert; Stuart Crozier |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference Volume: 2008 ISSN: 1557-170X ISO Abbreviation: Conf Proc IEEE Eng Med Biol Soc Publication Date: 2008 |
Date Detail:
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Created Date: 2009-02-16 Completed Date: 2009-04-28 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101243413 Medline TA: Conf Proc IEEE Eng Med Biol Soc Country: United States |
Other Details:
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Languages: eng Pagination: 3040-3 Citation Subset: IM |
Affiliation:
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School of Information Technology and Electrical Engineering, The University of Queensland, Qld, Australia. ahill@itee.uq.edu.au |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Air Algorithms Automatic Data Processing Breast / pathology* Breast Neoplasms / diagnosis* Female Humans Image Interpretation, Computer-Assisted / methods* Magnetic Resonance Imaging / methods* Mammography / methods Observer Variation Reproducibility of Results Signal Processing, Computer-Assisted Skin / pathology Subtraction Technique |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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