Abstract: The invention relates to an X-ray image analysis system (4) comprising an X-ray image input interface (8) and a computing unit (9). The X-ray image input interface (8) is configured to receive X-ray images (14) taken by an X-ray imaging system (1) comprising an X-ray source (2) and an X-ray detector (3). The computing unit (9) is connected to the X-ray image input interface (8) and configured to obtain at least one X-ray image (14) from the X-ray image input interface (8) and perform a scapula position detection, including inputting the X-ray image (14) into a trained machine-learning system, running the trained machine-learning system, and obtaining a scapula position. The computing unit (9) is further configured to transmit scapula position information from a scapula position information output interface (10) to a display (5).

Abstract: A system (100) for classifying lesions comprising an image providing unit (101) for providing a dual-modal image of an imaging region is provided, the dual-modal image comprising a CT image (10, 10?) and a registered PET image (20?), the imaging region including a tissue region of interest comprising a lesion and a reference tissue region. The system further comprises an identifying unit (102) for identifying, in the CT and the PET image, a respective lesion image segment and, in the PET image, a reference image segment. Moreover, the system comprises a normalizing unit (103) for normalizing the lesion image segment in the PET image with respect to the reference image segment, an image feature extracting unit (104) for extracting image feature values from both lesion image segments, and a classifying unit (105) for classifying the lesion based on the extracted values.

Abstract: There is provided a computer-implemented method for determining rotation of a patient's chest in a medical image. The method comprises: receiving the medical image of the patient; processing the medical image to determine scapular spatial data relating to the patient's scapula; and determining rotation of the patient's chest with respect to at least one reference axis using the scapular spatial data.

Abstract: The invention concerns an optical arrangement for an X-ray system for determining a patient position and/or a patient rotation of a patient to be X-rayed by the X-ray system, an X-ray system comprising such optical arrangement, a system for controlling and a method for determining a patient position and/or a patient rotation The optical arrangement comprises a laser source, and a detector vertically spaced apart from each other. The laser source is configured for emitting a horizontal laser line onto the patient, the detector is configured for detecting a course of the laser line emitted onto the patient. An analysing unit configured for determining the patient position and/or the patient rotation of the patient, based on an analysis of the detected course of the laser line.

Abstract: Provided is an optical metal detector device (10) for preparing magnetic resonance imaging, MRI, comprising: a light (11) configured to emit light to illuminate a subject (S), a camera (12) configured to be positioned in multiple different positions relative to the subject, to capture a series of images of the illuminated subject and to provide assigned image signals, a linear polarizer (13) configured to be arranged in at least a first angular position and a second angular position relative to the subject, the first angular position and the second angular position are different to each other, and to polarize the light emitted by the light source or to polarize the image captured by the camera, and a data processing means (14) configured to obtain at least the image signals from the camera, wherein the data processing means is further configured to combine the image signals associated with the first angular position and the second angular position of the linear polarizer and the image signals associated with

Abstract: The invention discloses an apparatus for stroke characterization. The apparatus comprises a processor. The processor is configured to receive image data representing a three-dimensional image of a head of a subject; identify a region within the image data corresponding to bone in the head of the subject; apply an adjustment to the image data to compensate for effects resulting from radiation scattered from the bone during acquisition of the image data; generate a two-dimensional image based on the adjusted image data; and provide the generated two-dimensional image as an input to a predictive model to identify a region of interest for stroke characterization in the two-dimensional image.

Abstract: An improved X-ray imaging system. The system comprises an X-Ray radiation source configured to emit an X-ray beam towards an object to be imaged and an X- ray detector configured to detect X-rays which have passed through the object.

Abstract: A system (PPS) for patient positioning in imaging or radiation therapy. The system comprises a transmitter (TX). The transmitter (TX) is configured to generate an outgoing signal capable of inducing, from a distance, a haptic sensation at an impact region (IRE) on the patient's skin. The system further comprises a control logic (CL) configured to modify the outgoing signal in response to a received input request or in dependence on a distance between a current position of a region of interest (ROI) of the patient (PAT) and a target area (TA) in an imaging apparatus or in a radiation therapy apparatus.

Abstract: There is provided a computer-implemented method (200) for obscuring one or more facial features of a subject in an image. A head of the subject is detected in the image (202) and a location of one or more facial features of the subject is identified in the image (204). A region of the image to modify is determined based on the location of the one or more facial features (206). The determined region comprises a part of the head on which the one or more facial features are located. The image within the determined region is modified to obscure the one or more facial features (208).