| Multispectral co-occurrence with three random variables in dynamic contrast enhanced magnetic resonance imaging of breast cancer. | |
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MedLine Citation:
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PMID: 18815094 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Presented is a new computer-aided multispectral image processing method which is used in three spatial dimensions and one spectral dimension where the dynamic, contrast enhanced magnetic resonance parameter maps derived from voxel-wise model-fitting represent the spectral dimension. The method is based on co-occurrence analysis using a 3-D window of observation which introduces an automated identification of suspicious lesions. The co-occurrence analysis defines 21 different statistical features, a subset of which were input to a neural network classifier where the assessments of the voxel-wise majority of a group of radiologist readings were used as the gold standard. The voxel-wise true positive fraction (TPF) and false positive fraction (FPF) results of the computer classifier were statistically indistinguishable from the TPF and FPF results of the readers using a one sample paired t-test. In order to observe the generality of the method, two different groups of studies were used with widely different image acquisition specifications. |
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Authors:
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Mehmet C Kale; Bradley D Clymer; Regina M Koch; Johannes T Heverhagen; Steffen Sammet; Robert Stevens; Michael V Knopp |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: IEEE transactions on medical imaging Volume: 27 ISSN: 1558-254X ISO Abbreviation: IEEE Trans Med Imaging Publication Date: 2008 Oct |
Date Detail:
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Created Date: 2008-09-25 Completed Date: 2008-10-24 Revised Date: 2012-04-24 |
Medline Journal Info:
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Nlm Unique ID: 8310780 Medline TA: IEEE Trans Med Imaging Country: United States |
Other Details:
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Languages: eng Pagination: 1425-31 Citation Subset: IM |
Affiliation:
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Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43210, USA. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Artificial Intelligence* Breast Neoplasms / diagnosis* Contrast Media* Female Humans Image Enhancement / methods Image Interpretation, Computer-Assisted / methods* Imaging, Three-Dimensional / methods* Magnetic Resonance Imaging / methods* Pattern Recognition, Automated / methods* Reproducibility of Results Sensitivity and Specificity |
| Grant Support | |
ID/Acronym/Agency:
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P20EB000591/EB/NIBIB NIH HHS |
| Chemical | |
Reg. No./Substance:
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0/Contrast Media |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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