Abstract:
A wearable device is provided. The wearable device comprises at least one feedback module;one or more sensors; and a processor adapted to initialize the feedback module; control the at least one feedback module to provide support information with respect to a first activity that a wearer of the wearable device intends to perform; wherein the support information with respect to the first activity is determined based on an identified second activity that the wearer is performed, wherein the second activity has performed by the wearer prior to the first activity.
Abstract:
Disclosed is ahead-mountable computing device comprising at least one display module;an interface adapted to receive signals and/or data acquired by one or more sensors and to receive data generated by one or more medical devices operated by a wearer of the head-mountable computing device;a processor adapted to identify the wearer's activity based on the received signals and/or data acquired by the one or more sensors and to control said at least one display module to display assistance information on said display module corresponding to the identified wearer's activity.
Abstract:
An apparatus for processing of medical images comprises a (101) receiver for receiving a an image representing characteristics of a part of a human or animal body. The image may for example be a magnetic resonance or computer tomography image. A signature unit (103) determines an image associated set of signatures from the first image. A sample store (109) comprises a data base in the form of a set of samples where each sample comprises a sample associated set of signatures and medical data. A matching unit (105) determines a set of matching samples from the set of samples in response to a comparison of the image associated set of signatures to the sample associated sets of signatures of the set of samples. A decision unit (111) then determines medical data for the image in response to the medical data comprised in the samples of the set of matching samples.
Abstract:
Disclosed is an eye training system (10) including a head-mountable computing device (100) comprising at least one display module (106, 106') arranged to be viewed by the wearer of the head-mountable computing device when wearing the device; and a display processor (108) coupled to the at least one display module for controlling the at least one display module and adapted to display an initial set of eye exercises on the at least one display module; a sensor arrangement (120) for monitoring eye responses of the wearer to the displayed initial set of eye exercises;and a data processor (110) adapted to receive eye response data from the sensor arrangement and to process the eye response data; wherein the display processor is further adapted to display a subsequent set of eye exercises on the at least one display module in response to a processing result of the processed eye response data. A computer program product is also disclosed.
Abstract:
A magnetic resonance imaging protocol includes an acquisition segment to control an acquisition sequence to acquire magnetic resonance signals at a lower main magnetic field strength. A reconstruction segment controls reconstruction of a diagnostic magnetic resonance image from the magnetic resonance signals at a lower main magnetic field strength. A segmentation segment to control segmentation of a pre-determined image- detail of the diagnostic magnetic resonance image. In the magnetic resonance imaging protocol: the acquisition sequence has a set of imaging parameters that cause the image quality of the diagnostic magnetic resonance to be similar to the image quality of the magnetic resonance training images. The segmentation segment comprises: an initialisation portion which controls (i) access to a set of magnetic resonance training images acquired at main magnetic field of a higher main magnetic field strength (ii)registration of the diagnostic magnetic resonance image to one or more of the magnetic resonance training images and (iii) a segmentation proper applied to the diagnostic image to segment the pre-determined detail from the registered diagnostic magnetic resonance image. The one or more magnetic resonance training images includes an image detail corresponding to the pre-determined image detail in the diagnostic magnetic resonance image. Notably, the magnetic resonance training magnetic resonance images are acquired at a high magnetic field strength at 7T and its level of detail facilitates the accurate segmentation of notably the hippocampus from diagnostic magnetic resonance images at lower field strength of 3T. The diagnostic magnetic resonance images are acquired such that they resemble the training magnetic resonance images.
Abstract:
A registration processor (74) is configured to obtain articulated brain substructures using acquired brain image data and template brain image data. The registration processor (74) annotates the brain image data; registers the brain image data with template image data using global brain registration; and registers at least one brain structure of the brain image data a corresponding brain structure of the template image data using a local brain sub-structure registration. The registration processor (74) articulates articulated substructures of the registered brain structures to improve registration using articulated substructure registration.