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US 2019/0290222 A1Published application
Identifying types of adipose tissue
AssigneeKoninklijke Philips N.V.
InventorsRoland PROKSA, Heiner DAERR, Daniela FRANZ
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Abstract
A method of an image processing apparatus for identifying a type of adipose body tissue within a subject, based on performing a spectral computed tomography (CT) scan of a region of interest of the subject; and using a combination of different image processing techniques to differentiate between at least two adipose tissue types within the region of interest.
Claims15
An image processing apparatus adapted to identify a type of adipose body tissue within a subject, the apparatus comprising:
- at least one data input interface;
- and
- at least one processor;
- wherein the data input interface is configured to receive spectral computed tomography (CT) imaging data of a region of interest of the subject;
- and
- wherein the at least one processor is configured to:
- perform at least one data processing technique on the spectral CT imaging data that differentiates between at least two adipose tissue types within the region of interest based on spectrally different attenuation properties of the at least two adipose tissue types;
- and
- identify at least one adipose tissue type from the at least two tissue types.
6 more elements
A method of identifying a type of adipose body tissue within a subject, the method comprising the steps of:
- receiving spectral computed tomography (CT) imaging data of a region of interest of the subject;
- performing at least one data processing technique on the spectral CT imaging data that differentiates between at least two adipose tissue types within the region of interest based on spectrally different attenuation properties of the at least two adipose tissue types;
- and
- identifying at least one adipose tissue type from the at least two tissue types.
1 more element
Dependencies are inferred from the claim text.