The present invention relates to methods for assessing or obtaining an indication of vascular pressure associated with organs or visceral tissues of the body by using MRI imaging methods. The invention particularly relates to methods for assessing or obtaining an indication of portal hypertension using Magnetic Resonance T1, or T1 and T2* relaxometry, and T1, T2 and/or T2* mapping of the liver or spleen.

Disclosed herein is a method comprising a method comprising imaging a network section through which flow occurs; where the flow is selected from a group consisting of fluid, electrons, protons, neutrons and holes; partitioning the image into sub-regions based on metabolic need and function; where each region comprises one or more sources and one or more sinks; where the flow emanates from the source and exits into the sinks; generating a Voronoi diagram from the Delaunay triangulation by subdividing the sub-regions into Voronoi cells, where each Voronoi cell contains exactly one sink or one source; and where the intersections of Voronoi cells are Voronoi cell vertices; calculating a flow rate in each Voronoi cell; and according a color to Voronoi cells based on their flow rates; where Voronoi cells having similar rates are accorded similar colors.

The present invention discloses means and methods for detecting irregularities in the cells throughout a healthy tissue. The method generally relates to cancer detection, diagnosis and treatment, and more specifically pertains to detection, diagnosis and treatment guidance of cancerous or precancerous conditions through the use of thermal imaging technology and analysis.

Disclosed herein is a method comprising imaging a network section through which flow occurs; where the flow is selected from a group consisting of fluid, electrons, protons, neutrons and holes; partitioning the image into sub-regions based on metabolic need and function; where each region comprises one or more sources and one or more sinks; where the flow emanates from the source and exits into the sinks; performing a Delaunay triangulation tessellation on one or more sub-regions by connecting one or more sources and one or more sinks; where the Delaunay triangulations maximize the minimum angle of all the angles of the triangles in the triangulation; generating a Voronoi diagram from the Delaunay triangulation by subdividing the sub-regions into Voronoi cells, where each Voronoi cell contains exactly one sink or one source; and where the intersections of Voronoi cells are Voronoi cell vertices; locating a sink endpoint centroid; connecting a source to a nearest Voronoi cell vertex; connecting at least one sink to at least one of the remaining Voronoi cell vortices to complete the network; and performing a smoothing function on the network to form a smoothed network.

An ultrasound imaging system includes an interventional medical device having a first tracking element that generates tip location data based on a locator field. An ultrasound probe has an ultrasound transducer mechanism and a second tracking element. The ultrasound transducer mechanism has an active ultrasound transducer array that generates two-dimensional ultrasound slice data at any of a plurality of discrete imaging locations within a three-dimensional imaging volume. The second tracking element generates probe location data based on the locator field. A processor circuit is configured to execute program instructions to generate an ultrasound image for display, and is configured to generate a positioning signal based on the tip location data and the probe location data to dynamically position the active ultrasound transducer array so that the two-dimensional ultrasound slice data includes the distal tip of the interventional medical device.

In a target image generated by multi-resolution processing, a pixel of interest and a group of reference pixels are designated. In a corresponding image belonging to a level that is one level above, pixel value patterns are compared between a corresponding region of interest and corresponding reference regions so as to calculate weights. A modified pixel-of-interest value is determined by means of multiplying the reference pixel values by the weights.

Video data that depicts a face of a particular user is obtained. The video data is processed with a plurality of machine-learned models of a user-specific model ensemble for photorealistic facial representation to obtain a corresponding plurality of model outputs. The plurality of machine-learned models comprises one or more of a mesh representation model trained to generate a 3D polygonal mesh representation of the face of the particular user, a machine-learned texture representation model trained to generate a plurality of textures representative of the face of the particular user, or subsurface anatomical representation model(s) trained to generate sub-surface model outputs, each including a representation of a different sub-surface anatomy of the face of the particular user. At least one machine-learned model is optimized based on a loss function that evaluates the at least one model output.

Provided herein are systems, methods, and media capable of determining estimated force applied on a target tissue region to enable tactile feedback during interaction with said target tissue region.

The invention provides an ultrasound imaging apparatus capable of highly accurately extracting a blood flow in a fine blood vessel in a short time. N pieces of frame data is generated by receiving ultrasound waves reflected by a subject with a plurality of transducers. A correlation matrix is generated based on a vector in which data at a corresponding position of the frame data is arranged for N frames, and a singular value and a singular vector for each of N ranks are calculated. A first filter element is calculated based on a variance between data at a corresponding position zx among a plurality of blood flow component frame data obtained by multiplying a plurality of the frame data by singular vectors at a threshold rank k or more. The second filter element is calculated based on the tissue component frame data obtained by multiplying the frame data by a singular vector at a rank 1. The frame data is weighted by the first filter element and/or the second filter element to generate a clutter reducing image.

The disclosure relates to a method and apparatus for selecting (i) an imaging angle with minimized foreshortening and/or overlap of a target region from one of a plurality of an existing angiographic images and/or (ii) selecting an imaging angle for new images so that foreshortening and/or overlap are minimized. In some embodiments, a viewing angle cost function is determined that defines one or more optimal viewing angles at least with respect to minimizing foreshortening of the target region. Using the cost function, an image may be selected from among the plurality of images, which potentially does not match the optimal imaging angle due to the optimal imaging angle having a high cost as a result of overlapping vascular features. The selected image may have an imaging angle that corresponds to a lower cost due to less overlap compared to the optimal imaging angle.