Abstract: Methods and systems for producing a visually-perceived representation of a sub-millimeter-sized blood vessel located at a depth of many centimeters in the biological tissue, in which the background clutter is suppressed (by at least 30 dB using SVT and additional 23 dB using a combination of morphology filtering and vessel enhancement filtering) as compared to an image obtained with the use of a B-mode ultrasound imaging, while at the same time maintaining the morphology of the blood vessel.

Abstract: Methods and systems for producing a visually-perceived representation of a sub-millimeter-sized blood vessel located at a depth of many centimeters in the biological tissue, in which the background clutter is suppressed (by at least 30 dB using SVT and additional 23 dB using a combination of morphology filtering and vessel enhancement filtering) as compared to an image obtained with the use of a B-mode ultrasound imaging, while at the same time maintaining the morphology of the blood vessel.

Abstract: Methodology, with a programmable-processor imaging system, for control and determination of breast lesion viscoelastic properties with the use of a creep-like test. Two dimensional reconstruction maps are used for different parameters of a linear viscoelastic model. Description of different aspects of the test used on live subjects and suitability of a 1-D inversion model in capturing different viscoelasticity parameters. An automated methodology for the selection of a region of interest derived only from the appearance of the breast lesion on pre-compressed B-mode images. Based on the ROI and estimated viscoelasticity parameters, contrast values are determined that facilitate the enhanced differentiation of breast mass. Employing the methodology in a large group of patients provides better understanding of variations of different viscoelasticity parameters in different types of breast lesion and helps to identify new biomarkers for enhanced differentiation of benign from malignant cases.

Abstract: Methods and systems for producing a visually-perceived representation of a sub-millimeter-sized blood vessel located at a depth of many centimeters in the biological tissue, in which the background clutter is suppressed (by at least 30 dB using SVT and additional 23 dB using a combination of morphology filtering and vessel enhancement filtering) as compared to an image obtained with the use of a B-mode ultrasound imaging, while at the same time maintaining the morphology of the blood vessel.

Abstract: Methods and systems for producing a visually-perceived representation of a sub-millimeter-sized blood vessel located at a depth of many centimeters in the biological tissue, in which the background clutter is suppressed (by at least 30 dB using SVT and additional 23 dB using a combination of morphology filtering and vessel enhancement filtering) as compared to an image obtained with the use of a B-mode ultrasound imaging, while at the same time maintaining the morphology of the blood vessel.

Abstract: System and method configured to characterize viscoelasticity of a target medium by directly determining phase difference between real and imaginary parts of the complex shear modulus of the tissue (determined as a result of applying a compression force to the tissue), and without any fitting of data and independent from distribution of strain in tile tissue caused by the application of compression force.

Abstract: Methodology for controlled with a programmable-processor imaging and determination of the breast lesions viscoelastic properties with the use of a creep-like test. Two dimensional reconstruction maps are used for different parameters of a linear viscoelastic model. Description of different aspects of the test used on live subjects and suitability of a 1-D inversion model in capturing different viscoelasticity parameters. An automated methodology for the selection of a region of interest derived only from the appearance of the breast lesion on pre-compressed B-mode images. Based on the ROI and estimated viscoelasticity parameters, contrast values are determined that facilitate the enhanced differentiation of breast mass. Employing the methodology in a large group of patients provides better understanding of variations of different viscoelasticity parameters in different types of breast lesion and helps to identify new biomarkers for enhanced differentiation of benign from malignant cases.