Canon Medical Systems Corporation

Toshiba Medical Systems Corporation

Steven Reynolds

Timothy Day

Ross Davies

Magnus Wahrenberg

Brian Mohr

Marco Razeto

Andy Smout

Jeffrey Hall

Kurt Walter Schultz

Morvyn Myles

James Hancox

Gerald Chau

A medical image processing apparatus for rendering medical images includes a first GPU and a second GPU, each configured to read from and write to a data structure stored in virtual memory. The data structure is configured to be read by both the first GPU and the second GPU and the data structure is configured such that the first GPU can write to a first sub-space of the data structure and the second GPU can write to a second sub-space of the data structure. The first sub-space and the second sub-space are independent. The first GPU is configured to write data relating to pre-processing for rendering to the first sub-space and the second GPU is configured to read the written data and to render at least one image based on the written data.

Data processing method and apparatus

An image processing apparatus comprises processing circuitry configured to: obtain a respective identity and location for each of a first plurality of landmarks in a reference volume; obtain a respective weighting for each landmark of the first plurality of landmarks; obtain a respective identity and location for each of a second plurality of landmarks in a further volume; and determine a transform based on a fit between the first plurality of landmarks and the second plurality of landmarks, wherein the fit is determined in dependence on the weightings.

Image rendering method and apparatus

A medical processing apparatus comprises processing circuitry configured to: receive an image data set for rendering; for each of a plurality of a pixels or voxels in the image data set: set a region of interest around the pixel or voxel; determine a maximum data value and a minimum data value for pixels or voxels in the region of interest; and designate the pixel or voxel as visible or as non-visible based on the maximum data value and the minimum data value for the region of interest; and perform a rendering process using the pixels or voxels of the image data set that designated as visible.

Image data processing method and apparatus

A medical image processing apparatus comprises processing circuitry configured to: acquire a data volume to be compressed; acquire a function relating color value to each data value of the data volume; and change a compression rate per region of the data volume based on color values in each region.

An image rendering apparatus includes processing circuitry to obtain a volumetric medical imaging data set representative of a region of a material; associate one particular extinction color with the material; determine, based on the particular extinction color, a chromatic attenuation profile representative of color value as a function of intensity and as a function of depth in the material, the chromatic attenuation profile showing how the material having the particular extinction color changes in appearance with changes in the depth; obtain, from a user, a color value; determine a modified extinction color for the material based on the color value obtained from the user; and render a global illumination image from the volumetric medical imaging data set using the modified extinction color.

Rendering a global illumination image from a volumetric medical imaging data set

A medical image data processing system comprises processing circuitry configured to receive a three-dimensional medical imaging data set, process the three-dimensional medical imaging data set to determine a curved plane that has a shape representative of a shape of at least one anatomical structure, wherein the at least one anatomical structure comprises a plurality of sub-structures, and obtain an image based on values of the medical imaging data set at a plurality of sample points of the curved plane.

Medical image data processing system and method

An image rendering apparatus comprises an image data unit for obtaining volumetric image data representative of a three-dimensional region, a rendering unit configured to perform a rendering process on the volumetric image data that includes a sampling process that comprises, for each of a plurality of sampling paths, determining a respective color or grayscale value for a corresponding pixel based on a plurality of sampled points along the sampling path. For each sampling path, the sampling process performed by the rendering unit comprises for each of at least some of the sampled points, calculating a significance factor for the sampled point based on accumulated opacity along the sampling path for the sampled point, selecting for the sampled point one of a plurality of rendering calculation processes in dependence on the calculated significance factor, and performing the selected rendering calculation process to obtain at least one image data value for the sampled point. For each sampling path the rendering unit is configured to determine the color or grayscale value for the corresponding pixel based on the determined image data values for the plurality of sampled points for the path.

Image rendering apparatus and method

An apparatus for image reconstruction is provided, including processing circuitry to obtain, from a scan of a region of interest of a patient, raw projection data of the region of interest; reconstruct the raw projection data to produce image data; apply high dynamic range tone-mapping to the image data to produce tone-mapped image data by applying window width and window level parameters to the image data to produce adjusted image data, and calculating a contrast adjustment based on both the image data and the adjusted image data; and quantize the tone-mapped image data to produce quantized tone-mapped image data for display.

Apparatus, method, and computer-readable medium for quad reconstruction using hybrid filter convolution and high dynamic range tone-mapping

An image data processing apparatus comprises a data receiving unit for receiving medical image data representative of a region of a subject, wherein the medical image data comprises for each of a plurality of points in the region of the subject a first intensity value and a second intensity value, each point having a respective position on an at least two-dimensional distribution of first intensity against second intensity, and wherein for each point at least one of the first intensity value and the second intensity value is obtained from a contrast-enhanced scan of the region of the subject; and a processing unit for rendering or segmenting the medical image data in dependence on the positions of points in the at least two-dimensional distribution.

Medical image data processing system and method for vessel segmentation using pre- and post-contrast data

A medical imaging data processing apparatus for identifying an interface between anatomical features comprises a receiving unit configured to receive first medical imaging data that represents a region of a subject at a first time, and second medical imaging data that represents the region of the subject at a second, later time, a registration unit configured to perform a registration procedure to obtain registration data representative of a registration between the first medical imaging data and the second medical imaging data, and an interface identification unit configured to determine a variation of the registration data with location and to identify an interface between an anatomical feature and at least one further anatomical feature based on said variation of the registration data with location.

Interface identification apparatus and method

Image processing apparatus comprises a memory unit configured to store medical data, and a data processing unit configured to receive medical data from the memory unit and comprising an image generation unit configured to generate a medical display image, the medical display image comprising a background region image and a foreground image derived from the medical data, wherein a brightness of the background image changes in a region between a boundary of the background region and a periphery of the medical display image.

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Edinburgh, United Kingdom

Steven Reynolds