M. Lubinski

Publications19
h-index14
Citations1,205
Highly Influential Citations34
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Speckle tracking methods for ultrasonic elasticity imaging using short-time correlation
TLDR
The results demonstrate that high resolution, high SNR strain estimates can be computed using small correlation kernels (on the order of the autocorrelation width of the ultrasound signal) and correlation filtering.
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Lateral displacement estimation using tissue incompressibility
Using the incompressibility property of soft tissue, lateral displacements can be reconstructed from axial strain measurements. Results of simulations and experiments on gelatin-based tissue…
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Adaptive strain estimation using retrospective processing [medical US elasticity imaging]
TLDR
A method to adaptively optimize strain SNR over the image plane using retrospective processing is presented and demonstrated with experimental results.
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Theoretical analysis and verification of ultrasound displacement and strain imaging
Evaluation of internal displacement and strain distributions in tissue under externally applied forces is a necessary step in elasticity imaging. To obtain a quantitative image of the elastic…
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An elasticity microscope. Part I: Methods
An elasticity microscope images tissue stiffness at fine resolution. Possible applications include dermatology, ophthalmology, pathology, and tissue engineering. In addition, if the resolution…
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Quantitative elasticity imaging
Quantitative elasticity imaging is investigated for a wide range of gel-based, tissue equivalent phantoms and excised tissue specimens. To do this, strain imaging methods have been developed for very…
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Elasticity imaging for early detection of renal pathology.
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Reconstructive Elasticity Imaging
TLDR
To uniquely image tissue elasticity, the Young’s modulus must be reconstructed from estimates of internal displacement and strain.
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Reconstructive Ultrasound Elasticity Imaging for Renal Transplant Diagnosis: Kidney Ex Vivo Results
TLDR
The results of this study strongly suggest that ultrasound elasticity imaging can detect elasticity changes in complex structures such as the kidney and has the potential to become an important clinical tool for renal transplant diagnosis.
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Non-linear tissue elasticity: adaptive elasticity imaging for large deformations
TLDR
Adapt imaging of elasticity to estimate nonlinear tissue elasticity is explored to increase contrast in elasticity images and present an independent means of tissue differentiation.
View on IEEE
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