Search Results - "Insana, Michael F"

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  1. 1

    Combining spatial registration with clutter filtering for power-Doppler imaging in peripheral perfusion applications by Insana, Michael F., Dai, Bingze, Babaei, Somaye, Abbey, Craig K.

    “…Power Doppler ultrasonic (PD-US) imaging is sensitive to echoes from blood cell motion in the microvasculature but generally nonspecific because of…”
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  2. 2

    An information-based machine learning approach to elasticity imaging by Hoerig, Cameron, Ghaboussi, Jamshid, Insana, Michael F.

    “…An information-based technique is described for applications in mechanical property imaging of soft biological media under quasi-static loads. We adapted the…”
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  3. 3

    Thyroid gland tumor diagnosis at US elastography by Lyshchik, Andrej, Higashi, Tatsuya, Asato, Ryo, Tanaka, Shinzo, Ito, Juichi, Mai, Jerome J, Pellot-Barakat, Claire, Insana, Michael F, Brill, Aaron B, Saga, Tsuneo, Hiraoka, Masahiro, Togashi, Kaori

    Published in Radiology (01-10-2005)
    “…To prospectively evaluate the elastographic appearance of thyroid gland tumors and explore the potential sensitivity and specificity of ultrasonographic (US)…”
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  4. 4

    Ultrasonic measurements of breast viscoelasticity by Sridhar, Mallika, Insana, Michael F.

    Published in Medical physics (Lancaster) (01-12-2007)
    “…In vivo measurements of the viscoelastic properties of breast tissue are described. Ultrasonic echo frames were recorded from volunteers at 5 fps while…”
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  5. 5

    Biomedical Imaging and Analysis in the Age of Big Data and Deep Learning [Scanning the Issue] by Duncan, James S., Insana, Michael F., Ayache, Nicholas

    Published in Proceedings of the IEEE (01-01-2020)
    “…Imaging of the human body using a number of different modalities has revolutionized the field of medicine over the past several decades and continues to grow…”
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  6. 6

    Power-Doppler Ultrasonic Imaging of Peripheral Perfusion in Diabetic Mice by Babaei, Somaye, Dobrucki, Lawrence W., Insana, Michael F.

    “…Objective: We explored the capabilities of power-Doppler ultrasonic (PD-US) imaging without contrast enhancement for monitoring changes in muscle perfusion…”
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  7. 7

    Data-Driven Elasticity Imaging Using Cartesian Neural Network Constitutive Models and the Autoprogressive Method by Hoerig, Cameron, Ghaboussi, Jamshid, Insana, Michael F.

    Published in IEEE transactions on medical imaging (01-05-2019)
    “…Quasi-static elasticity imaging techniques rely on model-based mathematical inverse methods to estimate mechanical parameters from force-displacement…”
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  8. 8

    Spatial Regulation of Inflammation by Human Aortic Endothelial Cells in a Linear Gradient of Shear Stress by Tsou, Jean K., Gower, R. Michael, Ting, Harold J., Schaff, Ulrich Y., Insana, Michael F., Passerini, Anthony G., Simon, Scott I.

    Published in Microcirculation (New York, N.Y. 1994) (01-05-2008)
    “…Objective: Atherosclerosis is a focal disease that develops at sites of low and oscillatory shear stress in arteries. This study aimed to understand how…”
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  9. 9

    Optimal beamforming in ultrasound using the ideal observer by Abbey, Craig K, Nguyen, Nghia Q, Insana, Michael F

    “…Beamforming of received pulse-echo data generally involves the compression of signals from multiple channels within an aperture. This compression is…”
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  10. 10

    Multidimensional Clutter Filter Optimization for Ultrasonic Perfusion Imaging by Kim, MinWoo, Zhu, Yang, Hedhli, Jamila, Dobrucki, Lawrence W., Insana, Michael F.

    “…Combinations of novel pulse-echo acquisitions and clutter filtering techniques can improve the sensitivity and the specificity of power Doppler (PD) images,…”
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  11. 11

    Monitoring Muscle Perfusion in Rodents During Short-Term Ischemia Using Power Doppler Ultrasound by Babaei, Somaye, Dai, Bingze, Abbey, Craig K., Ambreen, Yamenah, Dobrucki, Wawrzyniec L., Insana, Michael F.

    Published in Ultrasound in medicine & biology (01-06-2023)
    “…The aim of this work was to evaluate the reliability of power Doppler ultrasound (PD-US) measurements made without contrast enhancement to monitor temporal…”
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  12. 12

    A data-driven approach to characterizing nonlinear elastic behavior of soft materials by Wang, Yiliang, Ghaboussi, Jamshid, Hoerig, Cameron, Insana, Michael F.

    “…The Autoprogressive (AutoP) method is a data-driven inverse method that leverages finite element analysis (FEA) and machine learning (ML) techniques to build…”
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  13. 13

    Experimental Validation of Perfusion Imaging With HOSVD Clutter Filters by Zhu, Yang, Kim, MinWoo, Hoerig, Cameron, Insana, Michael F.

    “…Novel pulsed-Doppler methods for perfusion imaging are validated using dialysis cartridges as perfusion phantoms. Techniques that were demonstrated…”
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  14. 14

    Expanding Acquisition and Clutter Filter Dimensions for Improved Perfusion Sensitivity by Kim, MinWoo, Abbey, Craig K., Hedhli, Jamila, Dobrucki, Lawrence W., Insana, Michael F.

    “…A method is explored for increasing the sensitivity of power-Doppler imaging without contrast enhancement. We acquire 1-10 s of echo signals and arrange it…”
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  15. 15

    Shear modulus estimation with vibrating needle stimulation by Orescanin, Marko, Insana, Michael F

    “…An ultrasonic shear wave imaging technique is being developed for estimating the complex shear modulus of biphasic hydropolymers including soft biological…”
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  16. 16

    Fluidity and elasticity form a concise set of viscoelastic biomarkers for breast cancer diagnosis based on Kelvin–Voigt fractional derivative modeling by Zhang, Hongmei, Guo, Ying, Zhou, Yan, Zhu, Hongrui, Wu, Pengying, Wang, Kai, Ruan, Litao, Wan, Mingxi, Insana, Michael F.

    “…Cancer progression involves biomechanical changes within transformed cells and the surrounding extracellular matrix (ECM). The viscoelastic features of…”
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  17. 17

    Cervical lymph node metastases: diagnosis at sonoelastography--initial experience by Lyshchik, Andrej, Higashi, Tatsuya, Asato, Ryo, Tanaka, Shinzo, Ito, Juichi, Hiraoka, Masahiro, Insana, Michael F, Brill, Aaron B, Saga, Tsuneo, Togashi, Kaori

    Published in Radiology (01-04-2007)
    “…To prospectively estimate the accuracy of sonoelastography in the differentiation of benign and metastatic cervical lymph nodes (LNs) in patients suspected of…”
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  18. 18

    Linear System Models for Ultrasonic Imaging: Intensity Signal Statistics by Abbey, Craig K., Zhu, Yang, Bahramian, Sara, Insana, Michael F.

    “…Despite a great deal of work characterizing the statistical properties of radio frequency backscattered ultrasound signals, less is known about the statistical…”
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  19. 19

    Improvements to ultrasonic beamformer design and implementation derived from the task-based analytical framework by Nguyen, Nghia Q., Prager, Richard W., Insana, Michael F.

    “…The task-based framework, previously developed for beamformer comparison [Nguyen, Prager, and Insana, J. Acoust. Soc. Am. 140, 1048–1059 (2016)], is extended…”
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  20. 20

    Limitations on estimation of effective scatterer diameters by Zhu, Yang, Han, Aiguo, O'Brien, William D., Oelze, Michael L., Insana, Michael F.

    “…The influence of spatial diversity in acoustic scattering properties on estimates of the effective scatterer diameter (ESD) applied to soft biological tissues…”
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