FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2023366645> ?p ?o ?g. }

• W2023366645 endingPage "7508" @default.
• W2023366645 startingPage "7489" @default.
• W2023366645 abstract "In breast elastography, breast tissue usually undergoes large compression resulting in significant geometric and structural changes. This implies that breast elastography is associated with tissue nonlinear behavior. In this study, an elastography technique is presented and an inverse problem formulation is proposed to reconstruct parameters characterizing tissue hyperelasticity. Such parameters can potentially be used for tumor classification. This technique can also have other important clinical applications such as measuring normal tissue hyperelastic parameters in vivo. Such parameters are essential in planning and conducting computer-aided interventional procedures. The proposed parameter reconstruction technique uses a constrained iterative inversion; it can be viewed as an inverse problem. To solve this problem, we used a nonlinear finite element model corresponding to its forward problem. In this research, we applied Veronda-Westmann, Yeoh and polynomial models to model tissue hyperelasticity. To validate the proposed technique, we conducted studies involving numerical and tissue-mimicking phantoms. The numerical phantom consisted of a hemisphere connected to a cylinder, while we constructed the tissue-mimicking phantom from polyvinyl alcohol with freeze-thaw cycles that exhibits nonlinear mechanical behavior. Both phantoms consisted of three types of soft tissues which mimic adipose, fibroglandular tissue and a tumor. The results of the simulations and experiments show feasibility of accurate reconstruction of tumor tissue hyperelastic parameters using the proposed method. In the numerical phantom, all hyperelastic parameters corresponding to the three models were reconstructed with less than 2% error. With the tissue-mimicking phantom, we were able to reconstruct the ratio of the hyperelastic parameters reasonably accurately. Compared to the uniaxial test results, the average error of the ratios of the parameters reconstructed for inclusion to the middle and external layers were 13% and 9.6%, respectively. Given that the parameter ratios of the abnormal tissues to the normal ones range from three times to more than ten times, this accuracy is sufficient for tumor classification." @default.
• W2023366645 created "2016-06-24" @default.
• W2023366645 creator A5028325518 @default.
• W2023366645 creator A5053150293 @default.
• W2023366645 creator A5081475325 @default.
• W2023366645 date "2010-11-19" @default.
• W2023366645 modified "2023-09-25" @default.
• W2023366645 title "A constrained reconstruction technique of hyperelasticity parameters for breast cancer assessment" @default.
• W2023366645 cites W1969583173 @default.
• W2023366645 cites W1973701549 @default.
• W2023366645 cites W1983812699 @default.
• W2023366645 cites W1986076662 @default.
• W2023366645 cites W1992386441 @default.
• W2023366645 cites W1998947618 @default.
• W2023366645 cites W2008864333 @default.
• W2023366645 cites W2028378634 @default.
• W2023366645 cites W2033324940 @default.
• W2023366645 cites W2034564011 @default.
• W2023366645 cites W2042473364 @default.
• W2023366645 cites W2042985803 @default.
• W2023366645 cites W2044223573 @default.
• W2023366645 cites W2056554708 @default.
• W2023366645 cites W2065357202 @default.
• W2023366645 cites W2071662525 @default.
• W2023366645 cites W2084022716 @default.
• W2023366645 cites W2097909151 @default.
• W2023366645 cites W2102380754 @default.
• W2023366645 cites W2122118010 @default.
• W2023366645 cites W2130241710 @default.
• W2023366645 cites W2136029976 @default.
• W2023366645 cites W2139465203 @default.
• W2023366645 cites W2143703219 @default.
• W2023366645 cites W2163730092 @default.
• W2023366645 cites W2166113069 @default.
• W2023366645 cites W232156095 @default.
• W2023366645 cites W325616143 @default.
• W2023366645 cites W4241314721 @default.
• W2023366645 cites W4251957920 @default.
• W2023366645 doi "https://doi.org/10.1088/0031-9155/55/24/007" @default.
• W2023366645 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21098922" @default.
• W2023366645 hasPublicationYear "2010" @default.
• W2023366645 type Work @default.
• W2023366645 sameAs 2023366645 @default.
• W2023366645 citedByCount "39" @default.
• W2023366645 countsByYear W20233666452012 @default.
• W2023366645 countsByYear W20233666452013 @default.
• W2023366645 countsByYear W20233666452014 @default.
• W2023366645 countsByYear W20233666452015 @default.
• W2023366645 countsByYear W20233666452016 @default.
• W2023366645 countsByYear W20233666452017 @default.
• W2023366645 countsByYear W20233666452018 @default.
• W2023366645 countsByYear W20233666452019 @default.
• W2023366645 countsByYear W20233666452020 @default.
• W2023366645 countsByYear W20233666452021 @default.
• W2023366645 countsByYear W20233666452022 @default.
• W2023366645 countsByYear W20233666452023 @default.
• W2023366645 crossrefType "journal-article" @default.
• W2023366645 hasAuthorship W2023366645A5028325518 @default.
• W2023366645 hasAuthorship W2023366645A5053150293 @default.
• W2023366645 hasAuthorship W2023366645A5081475325 @default.
• W2023366645 hasConcept C104293457 @default.
• W2023366645 hasConcept C120665830 @default.
• W2023366645 hasConcept C121332964 @default.
• W2023366645 hasConcept C134306372 @default.
• W2023366645 hasConcept C135252773 @default.
• W2023366645 hasConcept C135628077 @default.
• W2023366645 hasConcept C136229726 @default.
• W2023366645 hasConcept C143753070 @default.
• W2023366645 hasConcept C147370603 @default.
• W2023366645 hasConcept C158622935 @default.
• W2023366645 hasConcept C159985019 @default.
• W2023366645 hasConcept C18140158 @default.
• W2023366645 hasConcept C192562407 @default.
• W2023366645 hasConcept C24890656 @default.
• W2023366645 hasConcept C2777690781 @default.
• W2023366645 hasConcept C33923547 @default.
• W2023366645 hasConcept C41008148 @default.
• W2023366645 hasConcept C62520636 @default.
• W2023366645 hasConcept C71924100 @default.
• W2023366645 hasConcept C97355855 @default.
• W2023366645 hasConceptScore W2023366645C104293457 @default.
• W2023366645 hasConceptScore W2023366645C120665830 @default.
• W2023366645 hasConceptScore W2023366645C121332964 @default.
• W2023366645 hasConceptScore W2023366645C134306372 @default.
• W2023366645 hasConceptScore W2023366645C135252773 @default.
• W2023366645 hasConceptScore W2023366645C135628077 @default.
• W2023366645 hasConceptScore W2023366645C136229726 @default.
• W2023366645 hasConceptScore W2023366645C143753070 @default.
• W2023366645 hasConceptScore W2023366645C147370603 @default.
• W2023366645 hasConceptScore W2023366645C158622935 @default.
• W2023366645 hasConceptScore W2023366645C159985019 @default.
• W2023366645 hasConceptScore W2023366645C18140158 @default.
• W2023366645 hasConceptScore W2023366645C192562407 @default.
• W2023366645 hasConceptScore W2023366645C24890656 @default.
• W2023366645 hasConceptScore W2023366645C2777690781 @default.
• W2023366645 hasConceptScore W2023366645C33923547 @default.
• W2023366645 hasConceptScore W2023366645C41008148 @default.
• W2023366645 hasConceptScore W2023366645C62520636 @default.

• next