Abstract: An image processing system and related method. The system comprises an input interface (IN) configured for receiving an n[?2]-dimensional input image with a set of anchor points defined in same, said set of anchor points forming an input constellation. A constellation modifier (CM) is configured to modify said input constellation into a modified constellation. A constellation evaluator (CE) configured to evaluate said input constellation based on said hyper-surface to produce a score. A comparator (COMP) is configured to compare said score against a quality criterion. Through an output interface (OUT) said constellation is output if the score meets said criterion. The constellation suitable to define a segmentation for said input image.

Abstract: Particles are provided for use in therapeutic and/or diagnostic procedures. The particles include poly[bis(trifluoroethoxy) phosphazene] and/or a derivatives thereof which may be present throughout the particles or within an outer coating of the particles. The particles can also include a core having a hydrogel formed from an acrylic-based polymer. Barium sulfate may also be provided to the core of the particles as a coating or absorbed within the core of the particles. The particles can be used to minimize blood flow to mammalian tissues by occluding at least a portion of a blood vessel of the mammal, or to deliver an active agent to a localized area within a body of a mammal by contacting a localized area with at least one of the particles. Farther, the particles are useful in sustained release formulations including active agent(s) for oral administration, as tracer particles for injection into the bloodstream of a mammal or for use in enhanced ultrasound imaging.

Abstract: The invention relates to a magnetic resonance imaging data processing system (126) for processing motion artifacts in magnetic resonance imaging data sets using a deep learning network (146, 502, 702) trained for the processing of motion artifacts in magnetic resonance imaging data sets. The magnetic resonance imaging data processing system (126) comprises a memory (134, 136) storing machine executable instructions (161, 164) and the trained deep learning network (146, 502, 702). Furthermore, the magnetic resonance imaging data processing system (126) comprises a processor (130) for controlling the magnetic resonance imaging data processing system.

Abstract: The present invention relates to a device and method for quality assessment of medical image datasets.

Abstract: A system for reviewing a prior medical image and a related prior medical report, including: a plurality of measurement tools configured to: receive an input medical image and information regarding a medical finding; analyze the input medical image to determine a measurement relating to the medical finding; and output the measurement relating to the medical finding; a report analyzer configured to: receive the prior medical report; analyze the prior medical report to extract first information regarding a first medical finding described in the medical report; select a first measurement tool of the plurality of measurement tools to analyze the prior medical image based upon the first extracted information; and output the first extracted information to the first measurement tool, wherein the first measurement tool analyzes the prior medical image to produce a first updated measurement of the first medical finding and the first measurement tool analyzes a new medical image associated with the prior medical image t

Abstract: There is provided a computer-implemented method and system (100) for determining regions of hyperdense lung parenchyma in an image of a lung. The system (100) comprises a memory (106) comprising instruction data representing a set of instructions and a processor (102) configured to communicate with the memory and to execute the set of instructions. The set of instructions, when executed by the processor (102), cause the processor (102) to locate a vessel in the image, determine a density of lung parenchyma in a region of the image that neighbours the located vessel, and determine whether the region of the image comprises hyperdense lung parenchyma based on the determined density, hyperdense lung parenchyma having a density greater than ?800 HU.

Abstract: Disclosed are polyamide moulding compounds having a relative permittivity of no more than 3.5 at 2.45 GHz, and having the following components: (A) 25 to 80% by weight of a mixture made of at least one partially crystalline aliphatic polyamide and at least one amorphous or microcrystalline polyamide, (B) 20 to 65% by weight of at least one glass filler, and (C) 0 to 10% by weight of additives, the sum of components (A), (B) and (C) producing 100% by weight. The polyamide moulding compounds are for use in components of devices such as laptops and mobile phones.

Abstract: The present invention relates to polyamide moulding compounds that contain a semi-crystalline copolyamide, at least one filler, and optionally additives. The invention likewise relates to mouldings manufacture from these moulding compounds and to the use of the moulding compounds to manufacture mouldings.

Abstract: The present invention relates to semi-crystalline copolyamides and to moulding compounds manufactured from same that contain at least one filler, and optionally additives in addition to the semi-crystalline copolyamide. The invention equally relates to mouldings manufactured from same.

Abstract: Disclosed are polyamide moulding compounds having a relative permittivity of no more than 3.5 at 2.45 GHz, and having the following components: (A) 25 to 80% by weight of a mixture made of at least one partially crystalline aliphatic polyamide and at least one amorphous or microcrystalline polyamide, (B) 20 to 65% by weight of at least one glass filler, and (C) 0 to 10% by weight of additives, the sum of components (A), (B) and (C) producing 100% by weight. The polyamide moulding compounds are for use in components of devices such as laptops and mobile phones.

Abstract: The invention relates to a system for assessing a pulmonary image which allows for an improved assessment with respect to lung nodules detectability. The pulmonary image is smoothed for providing different pulmonary images (20, 21, 22) with different degrees of smoothing, wherein signal values and noise values, which are indicative of the lung vessel detectability and the noise in these images, are determined and used for determining an image quality being indicative of the usability of the pulmonary image to be assessed for detecting lung nodules. Since a pulmonary image shows lung vessels with many different vessel sizes and with many different image values, which cover the respective ranges of potential lung nodules generally very well, the image quality determination based on the different pulmonary images with different degrees of smoothing allows for a reliable assessment of the pulmonary image's usability for detecting lung nodules.

Abstract: The invention provides for a magnetic resonance imaging system (100) for acquiring magnetic resonance data (154) from an imaging zone (108). The magnetic resonance imaging system comprises: a memory (136) for storing initial pulse sequence commands (140) and machine executable instructions (160); and a processor (130) for controlling the magnetic resonance imaging system. Execution of the machine executable instructions causes the processor to receive (200) a set of selected pulse sequence parameters (142) comprising a definition of a region of interest (109) of a subject (118). The region of interest is within the imaging zone. Execution of the machine executable instructions further causes the processor to send (202) an image data request to a historical database (138). The image data request comprises the set of selected pulse sequence parameters.

Abstract: A system includes an analytics unit (140), which compares a medical image (105) and associated information with a stored medical guideline (142), and identifies an error or a deviation (340) from the medical guideline based on the comparison.

Abstract: The present disclosure relates to a method for configuring a medical device. The method comprises: providing a set of one or more parameters for configuring the medical device. Each parameter of the set has predefined values. A set of values of the set of parameters may be selected from the predefined values. Using the selected values the set of parameters may be set, which results in an operational configuration of the medical device. The medical device may be controlled to operate in accordance with the operational configuration, thereby an operating status of the medical device may be determined. Based on at least the operating status the operational configuration may be maintained or the selecting, setting and controlling may be repeatedly performed until a desired operating status of the medical device can be determined based on the operating statuses resulting from the controlling.

Abstract: The invention concerns polyamide moulding compound, in particular for producing heat-resistant moulded parts, having the following composition: (A) 20 to 79 wt. % of at least one partially aromatic polyamide in the form of a copolyamide which comprises 50 to 80 mol. % units formed by hexanediamine and terephthalic acid; (B) 1 to 15 wt. % of at least one impact-resistant modifier; (C) 20 to 60 wt. % of at least one carbon fibre; and (D) 0 to 5 wt. % of at least one additive, components (A) to (D) adding up to 100 wt. %.

Abstract: The present invention relates to an apparatus for providing mammography quality analytics. It is described to provide (210) at least one mammogram. A plurality of mammogram acquisition parameters is provided (220), wherein at least one mammogram acquisition parameter is associated with a corresponding mammogram. The at least one mammogram is analysed (230) and a plurality of breast positioning quality parameters is generated, wherein at least one breast positioning quality parameter is associated with a corresponding mammogram. The plurality of mammogram acquisition parameters and the plurality of breast positioning quality parameters is analysed (240) and quality control information is generated (240).

Abstract: The present invention relates to a device and method for quality assessment of medical image datasets.

Abstract: The invention provides for a magnetic resonance imaging system (100) for acquiring magnetic resonance data (154) from an imaging zone (108). The magnetic resonance imaging system comprises: a memory (136) for storing initial pulse sequence commands (140) and machine executable instructions (160); and a processor (130) for controlling the magnetic resonance imaging system. Execution of the machine executable instructions causes the processor to receive (200) a set of selected pulse sequence parameters (142) comprising a definition of a region of interest (109) of a subject (118). The region of interest is within the imaging zone. Execution of the machine executable instructions further causes the processor to send (202) an image data request to a historical database (138). The image data request comprises the set of selected pulse sequence parameters.

Abstract: A reinforced polyamide molding composition is described, particularly for use as starting material for the production of housings for devices in the field of mobile radio technology, composed of the following components: (A) from 20-45% by weight of aliphatic polyamide selected from the group consisting of: PA 610, PA 612 and mixtures thereof; (B) from 5-15% by weight of semiaromatic polyamide selected from the group consisting of: 6I, DI, 6I/6T, 6I/6T, DI/DT, DI/6T, MXD6 and mixtures thereof; (C) from 45-75% by weight of flat glass fibers with non-circular cross section, where the dimensional ratio of the major cross-sectional axis to the minor cross-sectional axis of the said cross section is in the range from 2-5; (D) from 0-10% by weight of additives; where components (A)-(D) give a total of 100% by weight.

Abstract: A system and a method are provided for simulating a breast deformation of a subject using sensor data obtained from an orientation sensor of a mobile device, with the orientation sensor being configured for sensing an orientation of the mobile device with respect to a direction of gravity. In accordance with the system and method, model data is accessed which defines a biomechanical model of a breast. A simulation subsystem is provided for obtaining the sensor data from the orientation sensor of the mobile device and for determining a gravitational breast deformation by applying a gravitational force to the biomechanical model in a direction which is defined based on the orientation of the mobile device. A deformed model may be displayed on a display of the mobile device. The system and the method provide an intuitive way of simulating the breast deformation.