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Methodology of Elasto-Mammography

技术应用: This noninvasive, cost-effective methodology, elasto-mammography, is established as a unique and robust new tool for characterization, differentiation, and follow-up of breast cancers. The technique can be easily implemented on a desktop computer, which can be immediately coupled with any digital mammography device. Hence, the healthcare benefits would be enormous.

详细技术说明: Current imaging modalities, such as X-ray mammography, ultrasound, and MRI, are not quite specific in terms of tumor benignity and malignancy. The development of the novel imaging modality, elasto-mammography, has the potential to characterize and differentiate breast cancers from benign and normal tissues through the modulus elastograms based on conventional mammographs. It provides higher specificity than the conventional mammography on its own for breast cancer diagnosis. The development is based on that the elastic responses of lesion masses are significantly different from those of the surrounding tissues. At little additional hardware cost, the methodology of elasto-mammography enables to generate the elastic modulus mammograms informative to identify and characterize the breast masses with improved specificity.In preliminary studies, displacement and geometry measured from deformed and undeformed mammography projections are applied as input data to reconstruct the isotropic material parameters for normal breast tissue and tumor. The simulations demonstrate that unique and accurate results can be obtained using information extracted from only two sets of projections. Displacement noise, geometry mismatch, and material contrast ratio do not adversely affect the results, demonstrating that the method is stable and robust.

*Abstract: It has been well recognized that the tissue stiffness plays an important role for diagnosis of breast cancers, as tumors are stiffer than the surrounding breast tissues, and malignant tumors are much stiffer than benign ones. In other words, in vivo identification of the elastic moduli of normal and abnormal breast tissues, which describe the stiffness, should improve the accuracy for breast-cancer diagnosis. There have been elastography studies based on either ultrasound or MRI breast imaging.
Magnetic resonance elastography (MRE) as the second-generation elastography modality was developed by several research groups. MRE is able to produce sufficient spatial and contrast resolution. It is, however, at a high cost of the MR imaging procedure, and not generally applicable to all the patients. Further, the penetration depth of shear waves within organic tissue is limited to only a few centimeters. Due to a large frequency-dependent attenuation, only low-frequency waves of about 50-100 Hz are feasible. This limits the spatial resolution and the achievable detectability of small lesions.

*Principal Investigation: Name: Yi Liu
Department:

Name: Lizhi Sun
Department:

Name: Ge Wang
Department:

Name: Zhiguo Wang
Department:

附加资料: Patent Number: US8010176B2
Application Number: US2007731624A
Inventor: Sun, Lizhi | Liu, Yi | Wang, Zhiguo | Wang, Ge
Priority Date: 30 Mar 2006
Priority Number: US8010176B2
Application Date: 30 Mar 2007
Publication Date: 30 Aug 2011
IPC Current: A61B000500
US Class: 600407 | 378037 | 382128 | 382131 | 382132 | 600425 | 600473
Assignee Applicant: The Regents of the University of California
Title: Method for elastomammography
Usefulness: Method for elastomammography
Summary: Used for obtaining a distribution of a stiffness property in breast tissue such as fatty tissue, gland, phyllodes tumor, papilloma, lobular carcinoma, fibroadenoma, infiltrating ductal carcinoma and ductal carcinoma in situ, for diagnosis of breast cancer in women and tumor e.g. cancerous tumor, benign tumor (claimed) and malignant tumor, by a health care provider, a doctor and a patient.
Novelty: Breast tissue`s e.g. papilloma, stiffness property distribution obtaining method for e.g. breast cancer, involves measuring displacement of tissue in response to force, and obtaining initial set of input parameters

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