Toshiba Medical Systems Corporation

Kabushiki Kaisha Toshiba

Canon Medical Systems Corporation

James Matthews

Marco Razeto

Brian Mohr

Kazumasa Arakita

Qiulin Tang

A medical image processing apparatus comprises processing circuitry configured to:

Motion estimation method and apparatus

A medical imaging data processing apparatus comprises processing circuitry configured to: obtain a first data set representative of at least some measurements of a measurement volume obtained by rotation of a medical scanner relative to the measurement volume during a first scanning time period; obtain a second data set representative of at least some measurements of the measurement volume obtained by rotation of the medical scanner relative to the measurement volume during a second scanning time period that overlaps the first scanning time period; and perform a procedure to obtain an estimate of motion between the first scanning time period and second scanning time period based on the first data set and second data set; wherein the obtaining is such as to exclude from the first data set and from the second data set at least some of the data representative of said measurements obtained during an overlap between the first scanning time period and second scanning time period; and wherein a data set representative of measurements obtained during at least one of the first scanning time period and second scanning time period is suitable for use in reconstructing a medical imaging data set representative of at least part of the measurement volume.

A medical imaging data processing apparatus comprises processing circuitry configured to obtain a first imaging data set comprising a set of pixels or voxels, the first imaging data set being reconstructed from first measurement data representative of measurements of a measurement volume obtained by relative rotation of a medical scanner and the measurement volume by a first range of angles during a first scanning time period; obtain a second imaging data set comprising a set of pixels or voxels, the second imaging data set being reconstructed from second measurement data representative of measurements of the measurement volume obtained by relative rotation of the medical scanner and the measurement volume by a second range of angles during a second scanning time period, wherein the second scanning time period overlaps the first scanning time period such that some angles are included in both the first range of angles and the second range of angles; transform the first imaging data set to obtain a first transformed data set that is representative of the first measurement data as a function of at least one of angle or time; transform the second imaging data set to obtain a second transformed data set that is representative of the second measurement data as a function of at least one of angle or time; and determine at least one angle of the first range of angles and/or second range of angles based on differences between the first transformed data set and second transformed data set.

Medical image processing 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

Certain embodiments provide a computer system for determining a registration mapping between a novel medical image and a reference medical image, the computer system comprising: a storage system adapted to store data representing the novel medical image and the reference medical image and variance data for a plurality of different locations in the reference medical image representing a statistical variation for corresponding locations identified in a plurality of training medical images; and a processor unit operable to execute machine readable instructions to determine a registration mapping between the novel medical image and the reference medical image in a manner that takes account of the variance data for the plurality of different locations in the reference medical image.

Medical image processing

An apparatus for correcting distortion in medical images comprises a data receiving unit for receiving first medical image data, second medical image data and third medical image data, wherein the first medical image data has a first distortion of a first distortion type and the second medical image data has the first distortion and a second distortion of a second distortion type wherein the first distortion and the second distortion are cumulative, a representation unit for determining a representation of the first type of distortion by comparing the first medical image data to third medical image data, and for determining a second representation of the second distortion in the absence of the first distortion, and an image correction unit for correcting the second type of distortion in the second medical image data using the representation of the first type of distortion and the representation of the second type of distortion.

Method of, and apparatus for, correcting distortion in medical images

A medical image processing apparatus for receiving a target phase data set and a reference phase data set at different times, obtaining a segmentation of an elongated structure in the target phase data and the reference phase data set, determining a target phase line along the segmentation of the elongated structure in the target phase data set and a reference phase line along the segmentation of the elongated structure in the reference phase data set, and determining a synthesized target phase line by combining the target phase line and reference phase line.

Segmentation and matching of structures in medical imaging data

An image processing apparatus comprises a registration unit configured to perform a first registration between a first set of image data and a second set of data, and a second registration between the first set of image data and the second set of data. The apparatus also comprises a registrability determination unit configured to determine a difference between the first registration and the second registration, and to determine a measure of registrability between the first set of image data and the second set of data based on the difference between the first registration and the second registration.

Image registration apparatus and method

A method of registering a first set of image data and a second set of image data, comprises performing an initial registration of the first set of image data and the second set of image data, selecting a region for further registration, and performing a further registration of first image data corresponding to the image region from the first set of image data and second image data from the second set of image data.

Growing community of inventors

Edinburgh, United Kingdom

James Matthews