Toshiba Medical Systems Corporation

Kabushiki Kaisha Toshiba

Canon Medical Systems Corporation

Saad Masood

Brian Mohr

Costas Plakas

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

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 apparatus for processing multi-energy image data to separate at least two types of material comprises a classification unit, wherein the classification unit is configured to obtain a classification of pixels or voxels belonging to the types of material based on a threshold which is adaptively changed in dependence on multi-energy intensity information associated with the pixels or voxels.

Method of, and apparatus for, material classification in multi-energy image data

A computer implemented method identifying calcification in a patient image data set including blood vessels. The method includes: obtaining an image data set including voxels each having an intensity value; forming the intensity values into an intensity value group covering an intensity range; defining plural intensity thresholds across the intensity range and including its end values; for each intensity threshold, partitioning the intensity values into two sub-groups according to intensity threshold, and calculating an information criterion based on intensity threshold; generating an information criterion measure curve that plots the calculated information criteria against intensity threshold; locating a maximum in the information criterion measure curve and setting the corresponding intensity threshold as a calcification threshold; and partitioning the intensity values into two sub-groups using the calcification threshold, identifying voxels corresponding to intensity values in the sub-group above the calcification threshold as representing calcification in the patient.

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Edinburgh, United Kingdom

Saad Masood