| Improved Hardware for Higher Spatial Resolution Strain-encoded (SENC) Breast MRI for Strain Measurements. | |
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MedLine Citation:
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PMID: 21440464 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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RATIONALE AND OBJECTIVES: Early detection of breast lesions using mammography has resulted in lower mortality rates. However, some breast lesions are mammography occult, and magnetic resonance imaging (MRI) is recommended, but it has lower specificity. It is possible to achieve higher specificity by using strain-encoded (SENC) MRI and/or magnetic resonance elastography. SENC breast MRI can measure the strain properties of breast tissue. Similarly, magnetic resonance elastography is used to measure the elasticity (ie, shear stiffness) of different tissue compositions interrogating the tissue mechanical properties. Reports have shown that malignant tumors are three to 13 times stiffer than normal tissue and benign tumors. MATERIALS AND METHODS: The investigators have developed a SENC breast hardware device capable of periodically compressing the breast, thus allowing for longer scanning time and measuring the strain characteristics of breast tissue. This hardware enables the use of SENC MRI with high spatial resolution (1 × 1 × 5 mm(3)) instead of fast SENC imaging. Simple controls and multiple safety measures were added to ensure accurate, repeatable, and safe in vivo experiments. RESULTS: Phantom experiments showed that SENC breast MRI has higher signal-to-noise ratio and contrast-to-noise ratio than fast SENC imaging under different scanning resolutions. Finally, the SENC breast device reproducibility measurements resulted in a difference of <1 mm with a 1% strain difference. CONCLUSIONS: SENC breast magnetic resonance images have higher signal-to-noise ratio and contrast-to-noise ratios than fast SENC images. Thus, combining SENC breast strain measurements with diagnostic breast MRI to differentiate benign from malignant lesions could potentially increase the specificity of diagnosis in the clinical setting. |
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Authors:
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Ahmed A Harouni; Jakir Hossain; Michael A Jacobs; Nael F Osman |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-3-24 |
Journal Detail:
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Title: Academic radiology Volume: - ISSN: 1878-4046 ISO Abbreviation: - Publication Date: 2011 Mar |
Date Detail:
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Created Date: 2011-3-28 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9440159 Medline TA: Acad Radiol Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2011 AUR. Published by Elsevier Inc. All rights reserved. |
Affiliation:
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Department of Electrical and Computer Engineering, The Johns Hopkins University School of Medicine, 712 Rutland Avenue, Traylor Building, Room 217, Baltimore, MD 21205. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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