Toshiba Medical Systems Corporation

Canon Medical Systems Corporation

Kabushiki Kaisha Toshiba

The University of Edinburgh

Stichting Radboud Universitair Medisch Centrum

Brian Mohr

Marco Razeto

Paul Thomson

Saad Masood

Naotaka Sakashita

James Matthews

Costas Plakas

Ewan Hemingway

Erin Beveridge

Georgios Diakidis

Kazumasa Arakita

Ian Poole

Steven Reynolds

Takahiko Nishioka

Aneta Lisowska

Alison O'Neil

Jim Piper

Ryo Okuda

Colin John Roberts

Shintaro Niwa

Sotirios Tsaftaris

Malcolm Campbell

Grzegorz Jacenków

Mathias Prokop

Joanne Schuijf

An image display apparatus comprises processing circuitry configured to receive medical image data including a representation of at least one eye of a subject, process the medical image data to determine an eye gaze direction for the at least one eye of the subject, and select a display mode for displaying the medical image data in dependence on the determined eye gaze direction.

Method and apparatus for displaying medical images

A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain medical image data related to a coronary artery of a subject. The processing circuitry is configured to derive a value of a blood flow parameter indicating hemodynamics of the coronary artery, on the basis of the medical image data. The processing circuitry is configured to display information indicating a change in the value of the blood flow parameter along the coronary artery, by using a graph of which the vertical axis expresses values of the blood flow parameter and of which the horizontal axis corresponds to the distance direction along the coronary artery and is configured to further display supplementary information indicating the structure of the coronary artery together with the graph.

Medical image processing apparatus, recording medium, and system

An apparatus including processing circuitry configured to: acquire a plurality of sets of medical imaging data of a region of a subject, each set of data corresponding to a respective different measurement period; apply a filter to the plurality of medical imaging data sets to produce a plurality of filtered medical imaging data sets corresponding to the different measurement periods, wherein the applying of the filter is such that, for each of the medical imaging data sets, the filtering uses at least some information from the other medical imaging data sets acquired at the different time periods and wherein the applying of the filter comprises applying at least one constraint or condition and the constraint or condition comprises preserving at least one measure of intensity for each medical imaging data set.

Multi-phase filter

A medical image data processing apparatus is provided and includes processing circuitry to receive medical image data in respect of at least one subject; receive non-image data; generate a filter based on the non-image data; and apply the filter to the medical image data, wherein the filter limits a region of the medical image data.

Data processing apparatus and method

A medical image processing apparatus comprises processing circuitry configured to: obtain image data representative of a brain of a subject; obtain data representing a clinical sign or symptom of the subject, wherein the clinical sign or symptom is relevant to a brain condition; process the image data to obtain an estimation of an abnormality in the brain of the subject; and determine whether the estimation of the abnormality is consistent with the data representing the clinical sign or symptom.

Medical image processing method and apparatus

A method of determining a path of a tubular structure comprises: obtaining volumetric medical imaging data that represents anatomy of a subject including the tubular structure; performing a position-determining procedure that comprises: obtaining an initial position of a current point on said path of the tubular structure; selecting a sub-region based on said initial position; obtaining values of at least one parameter representative of the tubular structure; inputting to a trained model both data from said selected sub-region and said parameter values, the trained model having been trained to determine paths of tubular structures; outputting by the trained model a position for a next point on said path of the tubular structure; and updating said initial position to said next point; and repeating the position-determining procedure for updating the initial position thereby to obtain the path of the tubular structure.

Tracking method and apparatus

A medical image processing apparatus comprises processing circuitry configured to: acquire a series of medical imaging data sets acquired across multiple time phases, wherein the medical imaging data sets are representative of a first body part and a second body part in the vicinity of the first body part, and wherein the first body part and second body part undergo relative motion across the multiple time phases; and automatically determine a viewing surface for rendering a series of images from the medical imaging data sets, wherein the determining of the viewing surface is based on respective positions of the first body part and second body part in each of the series of medical imaging data sets.

Medical image processing apparatus and method

A medical image processing apparatus comprises processing circuitry configured to:

Motion estimation method and apparatus

A medical image data processing apparatus comprises a registration unit configured to perform a non-rigid registration of a first set of medical image data and a second set of medical image data thereby to determine a deformation field, and a region identification unit configured to identify at least one region for which the deformation field is approximately homogeneous, and, for at least part of at least one identified region, to obtain a substantially homogeneous approximation of the deformation field.

Estimated local rigid regions from dense deformation in subtraction

An apparatus for processing volumetric image data to identify vessel regions having a predetermined condition, comprises a measurement unit for measuring at least one vessel parameter, a reference identification unit for obtaining data representing a branch-free vessel and identifying at least one reference section of the branch-free vessel, a calculation unit for calculating an expected value of the parameter in a further section of the branch-free vessel based on at least one measured value of the parameter in the at least one reference section, and a region identification unit for identifying a region of the vessel having the predetermined condition in dependence on both the expected value of the parameter in the further section and a measured value of the parameter in the further section.

Method of, and apparatus for, processing volumetric image data

An image data processing apparatus including a data receiver receiving image data to be segmented, and an atlas selection processor accessing a plurality of atlas data sets and selecting a subset of the atlas data sets for use in segmenting the image data, wherein the atlas selection processor is configured to select the subset of atlas data sets in dependence on the positions of one or more anatomical landmarks comprised in the plurality of atlas data sets.

Apparatus and method for multi-atlas based segmentation of medical image data

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

An apparatus for visualizing medical image data comprises a data processing unit for obtaining first image data representing a first medical image, second image data representing a second medical image, and subtraction image data representing a subtraction image, wherein the subtraction image data is generated by subtracting one of the first medical image data and the second medical image data from the other of the first medical image data and the second medical image data, and the apparatus further comprises a feature identification unit for processing the first image data representing the first medical image to identify a feature, and a rendering unit for rendering a combined image comprising an overlay of the identified feature from the first medical image data and one of the subtraction image and the second medical image.

Method of, and apparatus for, visualizing medical image data

A medical image data processing apparatus comprises a registration unit configured to perform a non-rigid registration of a first set of medical image data and a second set of medical image data, wherein the registration unit is further configured to determine, for at least one region, a rigid or affine registration that is an approximation of the non-rigid registration.

Medical image data processing apparatus and method

An image data processing apparatus comprising a image data processing unit for obtaining segmented image data segmented using a segmentation process and including a representation of a vessel, wherein a region of the vessel is missing from the representation, a boundary identification unit for identifying at least one point at or near a boundary of the missing region, wherein the image data processing unit is configured to perform a further segmentation process to identify the missing region of the vessel, using the location of the at least one identified point at or near the boundary of the missing region, and the image data processing unit is further configured to generate a revised representation of the vessel including the missing region of the vessel.

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Edinburgh, United Kingdom

Brian Mohr