Zobrazeno 1 - 8
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pro vyhledávání: '"Rebecca D. Yapp"'
Autor:
Rebecca D. Yapp, Michael F. Insana
Publikováno v:
Physics in Medicine and Biology. 54:1089-1109
Understanding contrast mechanisms and identifying discriminating features is at the heart of diagnostic imaging development. This report focuses on how pH influences the viscoelastic properties of biopolymers to better understand the effects of extra
Autor:
Michael F. Insana, Steven R. Caliari, Emily A. Gonnerman, Rebecca D. Yapp, Daniel W. Weisgerber, Brendan A.C. Harley
Publikováno v:
ASME 2011 Summer Bioengineering Conference, Parts A and B.
It has been estimated that over 62 million tendon and ligament injuries occur every year. The failure rate for these injuries can be despairingly high, such as 94% in the case of rotator cuff injuries. One possible cause for these failures is the ina
Publikováno v:
SPIE Proceedings.
Virtually every area of ultrasonic imaging research requires accurate estimation of the spatiotemporal impulse response of the instrument, and yet accurate measurements are difficult to achieve. The impulse response can also be difficult to predict n
Autor:
Rebecca D. Yapp, Marko Orescanin, Steven A. Johnson, Roberto Lavarello, M. J. Berggren, Michael L. Oelze
Publikováno v:
2009 IEEE International Ultrasonics Symposium.
Quantitative ultrasound (QUS) techniques make use of frequency-dependent information from backscattered echoes normally discarded in conventional B-mode imaging. Using scattering models and spectral fit methods, properties of tissue microstructure ca
Publikováno v:
Journal of biomechanical engineering. 131(8)
Ultrasonic elasticity imaging enables visualization of soft tissue deformation for medical diagnosis. Our aim is to understand the role of flow-dependent and flow-independent viscoelastic mechanisms in the response of biphasic polymeric media, includ
Publikováno v:
IEEE transactions on ultrasonics, ferroelectrics, and frequency control. 56(4)
The viscoelastic response of hydropolymers, which include glandular breast tissues, may be accurately characterized for some applications with as few as 3 rheological parameters by applying the Kelvin-Voigt fractional derivative (KVFD) modeling appro
Publikováno v:
2007 IEEE Ultrasonics Symposium Proceedings.
The poro-viscoelastic (PVE) response of tissues or hydropolymers may be accurately modeled with as few as three parameters using the Kelvin-Voigt fractional derivative approach. We propose to image these parameters for simulated and experimental imag
Publikováno v:
SPIE Proceedings.
Elasticity imaging is emerging as an important tool for breast cancer detection and monitoring of treatment. Viscoelastic image contrast in breast lesions is generated by disease specific processes that modify the molecular structure of connective ti