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 substructure registration. The registration processor (74) articulates articulated substructures of the registered brain structures to improve registration using articulated substructure registration.

Abstract: A system 100 for processing medical images, the system being arranged for obtaining a first medical image 102 and a second medical image 104, the first medical image and the second medical image being rigidly registered medical images of an anatomical structure, and the system comprising a displacement estimator 120 for establishing displacement vectors 122 for at least a first portion of the first medical image, the displacement vectors matching the first portion of the first medical image to a second portion of the second medical image, a deformation estimator 140 for, in dependence on the displacement vectors, establishing deformation values 142 for the first portion, the deformation values representing a deformation of the first portion with respect to the second portion, and a visualization generator 160 for generating visualization data 162 for, when being displayed on a display 180, establishing a multi-dimensional graph 182 comprising magnitudes of the displacement vectors as first variables 184 and t

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 substructure registration. The registration processor (74) articulates articulated substructures of the registered brain structures to improve registration using articulated substructure registration.

Abstract: The present invention relates to a template (10) and a system (50) for collecting data of a face of a subject. The system (50) comprises at least the template (10) and a camera (52). The template (10) comprises at least one computer-detectable element and allows to take a single image of a face of a subject which is positioned in an opening of the template and to derive subject dimensions of the face of the subject based on this single image. The present invention relates also to according methods.

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: The present invention relates to a template (10) and a system (50) for collecting data of a face of a subject. The system (50) comprises at least the template (10) and a camera (52). The template (10) comprises at least one computer-detectable element and allows to take a single image of a Fold outwards face of a subject which is positioned in an opening of the template and to derive subject dimensions of the face of the subject based on this single image. The present invention relates also to according methods.

Abstract: The present invention relates to a device for fitting and determining the size of a patient interface, said device (10) comprising a sizing gauge(12), wherein the shape of the gauge (12) is configured to replicate the shape of a contacting surface of a patient interface with the portion of a patient's face, and a support (14) including a grip (16) for holding the device (10) by hand during use, which support (14) is mechanically coupled to said gauge (12).

Abstract: A cushion arrangement for a patient interface (for communicating with the nose or the nose and mouth of a patient) comprises a cushion and a shaping structure in contact with the cushion. The shaping the comprises a thermo-shrink material, and the local dimension of themo-shrink material determines a level of local compression or expansion of the cushion. The shaping structure enables the cushion to be customised for the end user.

Abstract: A system 100 for processing medical images, the system being arranged for obtaining a first medical image 102 and a second medical image 104, the first medical image and the second medical image being rigidly registered medical images of an anatomical structure, and the system comprising a displacement estimator 120 for establishing displacement vectors 122 for at least a first portion of the first medical image, the displacement vectors matching the first portion of the first medical image to a second portion of the second medical image, a deformation estimator 140 for, in dependence on the displacement vectors, establishing deformation values 142 for the first portion, the deformation values representing a deformation of the first portion with respect to the second portion, and a visualization generator 160 for generating visualization data 162 for, when being displayed on a display 180, establishing a multi-dimensional graph 182 comprising magnitudes of the displacement vectors as first variables 184 and t

Abstract: A method for early detection of a pregnancy complication, including touching a position sensor to a point on a fetal presenting part of a fetus in a mother, and capturing a position of the position sensor, touching the position sensor to a set of points on the mother and capturing the position of the position sensor at each point, and detecting a pregnancy complication sign based upon a predefined criterion for said pregnancy complication. Methods and apparatus are provided for identifying the BPD pattern in an ultrasound image, for determining characteristics of body parts outside of a pelvic region, for BPD reconstruction and for an adapter for a position sensor are also described among other embodiments.

Abstract: A method for early detection of a pregnancy complication, including touching a position sensor to a point on a fetal presenting part of a fetus in a mother, and capturing a position of the position sensor, touching the position sensor to a set of points on the mother and capturing the position of the position sensor at each point, and detecting a pregnancy complication sign based upon a predefined criterion for said pregnancy complication. Methods and apparatus are provided for identifying the BPD pattern in an ultrasound image, for determining characteristics of body parts outside of a pelvic region, for BPD reconstruction and for an adapter for a position sensor are also described among other embodiments.