Abstract: Methods and systems are described for determining a condition of a lung. An example method may comprise receiving imaging data indicative of a lung of a subject, determining at least one pleural line region in the imaging data, determining one or more values of one or more morphological features of the at least one pleural line region, and sending, based on the one or more values of one or more morphological features, an indication of a condition of the lung.

Abstract: A method is provided for measuring or estimating stress distributions on heart valve leaflets by obtaining three-dimensional images of the heart valve leaflets, segmenting the heart valve leaflets in the three-dimensional images by capturing locally varying thicknesses of the heart valve leaflets in three-dimensional image data to generate an image-derived patient-specific model of the heart valve leaflets, and applying the image-derived patient-specific model of the heart valve leaflets to a finite element analysis (FEA) algorithm to estimate stresses on the heart valve leaflets. The images of the heart valve leaflets may be obtained using real-time 3D transesophageal echocardiography (rt-3DTEE). Volumetric images of the mitral valve at mid-systole may be analyzed by user-initialized segmentation and 3D deformable modeling with continuous medial representation to obtain, a compact representation of shape.

Abstract: A microbubble composition, comprising: a plurality of microbubbles, a microbubble comprising a noble gas and/or perfluorocarbon encapsulated within a shell that comprises one or more of a lipid, a protein, or a polymer, and a microbubble optionally defining a cross-sectional dimension in the range of from about 0.5 to about 20 micrometers. A method, comprising forming a composition according to the present disclosure. A method, comprising administering a microbubble composition according to the present disclosure to a subject, the composition optionally comprising echogenic phospholipid microbubbles. A method, comprising: (a) identifying, with the application of energy, the location of a microbubble composition according to the present disclosure, the energy optionally being ultrasound, (b) controllably effecting rupture of microbubbles of a microbubble composition of the present disclosure, the rupture optionally being effected by application of ultrasound, or both (a) and (b).

Abstract: The present disclosure relates to a diagnostic tool, and, more particularly, to a diagnostic tool for analyzing and using the results of a flow mediated dilation test.

Abstract: A method for ultrasound diagnosis includes determining a first risk of malignancy based on a human assessment of a first set of features of one or more ultrasound images of a target; determining a second risk of malignancy based on an automatically extracted second set of features of the one or more ultrasound images; determining at least one overall risk value based on the first risk of malignancy and the second risk of malignancy; and characterizing the at least one overall risk value as one of a high confidence assessment or a low confidence assessment.

Abstract: A microfluidic device for generating microbubbles includes a substrate and a microfluidic channel embedded in the substrate. The microfluidic channel includes a plurality of fluid inlets, at least one bubble formation outlet having a nozzle with an adjustable diameter, and a flow focusing junction in fluid communication with the plurality of fluid inlets and the bubble formation outlet. A method for mass producing monodisperse microbubbles with a microfluidic device includes supplying a flow of dispersed phase fluid into a first fluid inlet of a microfluidic channel, supplying a flow of continuous phase fluid into a second fluid inlet of the microfluidic channel, and adjusting a diameter of a nozzle to obtain a plurality of monodisperse microbubbles having a specified diameter.

Abstract: A method is provided for measuring or estimating stress distributions on heart valve leaflets by obtaining three-dimensional images of the heart valve leaflets, segmenting the heart valve leaflets in the three-dimensional images by capturing locally varying thicknesses of the heart valve leaflets in three-dimensional image data to generate an image-derived patient-specific model of the heart valve leaflets, and applying the image-derived patient-specific model of the heart valve leaflets to a finite element analysis (FEA) algorithm to estimate stresses on the heart valve leaflets. The images of the heart valve leaflets may be obtained using real-time 3D transesophageal echocardiography (rt-3DTEE). Volumetric images of the mitral valve at mid-systole may be analyzed by user-initialized segmentation and 3D deformable modeling with continuous medial representation to obtain, a compact representation of shape.

Abstract: A method is provided for measuring or estimating stress distributions on heart valve leaflets by obtaining three-dimensional images of the heart valve leaflets, segmenting the heart valve leaflets in the three-dimensional images by capturing locally varying thicknesses of the heart valve leaflets in three-dimensional image data to generate an image-derived patient-specific model of the heart valve leaflets, and applying the image-derived patient-specific model of the heart valve leaflets to a finite element analysis (FEA) algorithm to estimate stresses on the heart valve leaflets. The images of the heart valve leaflets may be obtained using real-time 3D transesophageal echocardiography (rt-3DTEE). Volumetric images of the mitral valve at mid-systole may be analyzed by user-initialized segmentation and 3D deformable modeling with continuous medial representation to obtain, a compact representation of shape.

Abstract: A method is provided for measuring or estimating stress distributions on heart valve leaflets by obtaining three-dimensional images of the heart valve leaflets, segmenting the heart valve leaflets in the three-dimensional images by capturing locally varying thicknesses of the heart valve leaflets in three-dimensional image data to generate an image-derived patient-specific model of the heart valve leaflets, and applying the image-derived patient-specific model of the heart valve leaflets to a finite element analysis (FEA) algorithm to estimate stresses on the heart valve leaflets. The images of the heart valve leaflets may be obtained using real-time 3D transesophageal echocardiography (rt-3DTEE). Volumetric images of the mitral valve at mid-systole may be analyzed by user-initialized segmentation and 3D deformable modeling with continuous medial representation to obtain, a compact representation of shape.

Abstract: A method is provided for measuring or estimating stress distributions on heart valve leaflets by obtaining three-dimensional images of the heart valve leaflets, segmenting the heart valve leaflets in the three-dimensional images by capturing locally varying thicknesses of the heart valve leaflets in three-dimensional image data to generate an image-derived patient-specific model of the heart valve leaflets, and applying the image-derived patient-specific model of the heart valve leaflets to a finite element analysis (FEA) algorithm to estimate stresses on the heart valve leaflets. The images of the heart valve leaflets may be obtained using real-time 3D transesophageal echocardiography (rt-3DTEE). Volumetric images of the mitral valve at mid-systole may be analyzed by user-initialized segmentation and 3D deformable modeling with continuous medial representation to obtain, a compact representation of shape.

Abstract: A method is provided for measuring or estimating stress distributions on heart valve leaflets by obtaining three-dimensional images of the heart valve leaflets, segmenting the heart valve leaflets in the three-dimensional images by capturing locally varying thicknesses of the heart valve leaflets in three-dimensional image data to generate an image-derived patient-specific model of the heart valve leaflets, and applying the image-derived patient-specific model of the heart valve leaflets to a finite element analysis (FEA) algorithm to estimate stresses on the heart valve leaflets. The images of the heart valve leaflets may be obtained using real-time 3D transesophageal echocardiography (rt-3DTEE). Volumetric images of the mitral valve at mid-systole may be analyzed by user-initialized segmentation and 3D deformable modeling with continuous medial representation to obtain, a compact representation of shape.

Abstract: A method is provided for measuring or estimating stress distributions on heart valve leaflets by obtaining three-dimensional images of the heart valve leaflets, segmenting the heart valve leaflets in the three-dimensional images by capturing locally varying thicknesses of the heart valve leaflets in three-dimensional image data to generate an image-derived patient-specific model of the heart valve leaflets, and applying the image-derived patient-specific model of the heart valve leaflets to a finite element analysis (FEA) algorithm to estimate stresses on the heart valve leaflets. The images of the heart valve leaflets may be obtained using real-time 3D transesophageal echocardiography (rt-3DTEE). Volumetric images of the mitral valve at mid-systole may be analyzed by user-initialized segmentation and 3D deformable modeling with continuous medial representation to obtain, a compact representation of shape.

Abstract: A method for ultrasound diagnosis includes determining a first risk of malignancy based on a human assessment of a first set of features of one or more ultrasound images of a target; determining a second risk of malignancy based on an automatically extracted second set of features of the one or more ultrasound images; determining at least one overall risk value based on the first risk of malignancy and the second risk of malignancy; and characterizing the at least one overall risk value as one of a high confidence assessment or a low confidence assessment.

Abstract: A microfluidic device for generating mi-crobubbles includes a substrate and a microfluidic channel embedded in the substrate. The microfluidic channel includes a plurality of fluid inlets, at least one bubble formation outlet having a nozzle with an adjustable diameter, and a flow focusing junction in fluid communication with the plurality of fluid inlets and the bubble formation outlet. A method for mass producing monodisperse microbubbles with a microfluidic device includes supplying a flow of dispersed phase fluid into a first fluid inlet of a microfluidic channel, supplying a flow of continuous phase fluid into a second fluid inlet of the microfluidic channel, and adjusting a diameter of a nozzle to obtain a plurality of monodisperse microbubbles having a specified diameter.

Abstract: A fully automatic method for segmentation of the mitral leaflets in 3D transesophageal echocardiographic (3D TEE) images is provided. The method combines complementary probabilistic segmentation and geometric modeling techniques to generate 3D patient-specific reconstructions of the mitral leaflets and annulus from 3D TEE image data with no user interaction. In the model-based segmentation framework, mitral leaflet geometry is described with 3D continuous medial representation (cm-rep). To capture leaflet geometry in a target 3D TEE image, a pre-defined cm-rep template of the mitral leaflets is deformed such that the negative log of a Bayesian posterior probability is minimized. The likelihood of the objective function is given by a probabilistic segmentation of the mitral leaflets generated by multi-atlas joint label fusion, while the validity constraints and regularization terms imposed by cm-rep act as shape priors that preserve leaflet topology and constrain model fitting.

Abstract: A method is provided for measuring or estimating stress distributions on heart valve leaflets by obtaining three-dimensional images of the heart valve leaflets, segmenting the heart valve leaflets in the three-dimensional images by capturing locally varying thicknesses of the heart valve leaflets in three-dimensional image data to generate an image-derived patient-specific model of the heart valve leaflets, and applying the image-derived patient-specific model of the heart valve leaflets to a finite element analysis (FEA) algorithm to estimate stresses on the heart valve leaflets. The images of the heart valve leaflets may be obtained using real-time 3D transesophageal echocardiography (rt-3DTEE). Volumetric images of the mitral valve at mid-systole may be analyzed by user-initialized segmentation and 3D deformable modeling with continuous medial representation to obtain, a compact representation of shape.

Abstract: A fully automatic method for segmentation of the mitral leaflets in 3D transesophageal echocardiographic (3D TEE) images is provided. The method combines complementary probabilistic segmentation and geometric modeling techniques to generate 3D patient-specific reconstructions of the mitral leaflets and annulus from 3D TEE image data with no user interaction. In the model-based segmentation framework, mitral leaflet geometry is described with 3D continuous medial representation (cm-rep). To capture leaflet geometry in a target 3D TEE image, a pre-defined cm-rep template of the mitral leaflets is deformed such that the negative log of a Bayesian posterior probability is minimized. The likelihood of the objective function is given by a probabilistic segmentation of the mitral leaflets generated by multi-atlas joint label fusion, while the validity constraints and regularization terms imposed by cm-rep act as shape priors that preserve leaflet topology and constrain model fitting.

Abstract: A method for generating stable encapsulated bubbles and dried encapsulated bubbles comprises introducing an inner stream of a gas into a liquid-filled chamber from an exit orifice of a capillary tube; introducing a middle stream of a water immiscible liquid into the exit orifice; and introducing an outer stream of an aqueous liquid to the exit orifice, to form compound bubbles. The encapsulated bubbles are formed after converting the middle phase of compound bubbles into a shell. The stable encapsulated bubbles or the stable dried encapsulated bubbles can be used in drug delivery and for enhancing ultrasound imaging.

Abstract: Methods and apparatus are provided for controlling fluid flow or perfusion, wherein gas-filled microbubbles are used as ultrasound contrast-enhancing agents, and wherein the method comprises separating the removal of the contrast agent due to flow from the removal of the contrast agent due to bubble destruction for enhanced imaging processes. By varying exposure of the microbubbles to ultrasound, the method and apparatus apply the changes observed in the images to measure flow and vascularity, to improve visualization of blood flow and blood vessels, and to guide delivery of drugs locally to the site of imaging.

Abstract: Methods and apparatus are provided for controlling fluid flow or perfusion, wherein gas-filled microbubbles are used as ultrasound contrast-enhancing agents, and wherein the method comprises separating the removal of the contrast agent due to flow from the removal of the contrast agent due to bubble destruction for enhanced imaging processes. By varying exposure of the microbubbles to ultrasound, the method and apparatus apply the changes observed in the images to measure flow and vascularity, to improve visualization of blood flow and blood vessels, and to guide delivery of drugs locally to the site of imaging.