Abstract:
In a method for operating an imaging medical examination device (1), an event of the undisturbed operation of the medical examination device (1) automatically triggers a defect determination (63) for determining a defective pixel possibly present in the image. The event is derived for example from a switch-on process, a calibration process and/or an examination process. Preferably, after the defect determination (63), a correction process (67) is automatically triggered if a defective pixel was detected. A medical examination device (1) has a detection device (31) for automatically determining a defective pixel possibly present in the image, in which case the detection device (31) can be activated by an event of the undisturbed operation of the medical examination device. A correction device (41) for automatically eliminating a defective pixel that has possibly been detected is preferably present.
Abstract:
A method and system for intelligent digital subtraction is disclosed. The method and system for intelligent digital subtraction can be used in a roadmap application for a coronary intervention. A mask image is obtained with vessels highlighted by contrast media. A guide wire is inserted into the vessels, and a guide wire image is obtained. A direct subtraction image is generated from the guide wire image and the mask image. A reduced noise subtraction image is generated based on mutual image information between the subtraction image and the guide wire image and mutual image information between the subtraction image and the mask image.
Abstract:
A method and system for image quality assessment is disclosed. The image quality assessment method is a no-reference method for objectively assessing the quality of medical images. This method is guided by the human vision model in order to accurately reflect human perception. A region of interest (ROI) of medical image is divided into non-overlapping blocks of equal size. Each of the blocks is categorized as a smooth block, a texture block, or an edge block. A perceptual sharpness measure, which is weighted by local contrast, is calculated for each of the edge blocks. A perceptual noise level measure, which is weighted by background luminance, is calculated for each of the smooth blocks. A sharpness quality index is determined based on the perceptual sharpness measures of all of the edge blocks, and a noise level quality index is determined based on the perceptual noise level measures of all of the smooth blocks. An overall image quality index can be determined by using task specific machine learning of samples of annotated images. The image quality assessment method can be used in applications, such as video/image compression and storage in healthcare and homeland security, and band-width limited wireless communication.
Abstract:
A description is given of a device (1) for tracking the movement of a tool of a handling unit (2), having at least one directional radiator (5) that can be aligned with the tool and be tracked, and a signal evaluation unit (4) for determining the movement.The directional radiators (5) have actuators for aligning the directional beam (6) at adjustable angles with reference to a fixed spatial plane, and angle sensors for determining the current directional beam angle with reference to the spatial plane, the angle sensors being connected to the signal evaluation unit (4). Directional beam sensors (7) for detecting the directional beam (6) are arranged with a fixed reference to the tool and movably therewith, the directional beam sensors (7) being connected to the signal evaluation unit (4). The signal evaluation unit (4) is set up for tracking the directional beams (6) of the at least one directional radiator (5) onto an assigned, moving directional beam sensor (7), and for determining the arbitrary movement of the tool in three-dimensional space as a function of the directional beam angles.
Abstract:
A method for gluing microcomponents to a substrate (1) during the production of microsystem components includes the steps of applying a reactive or non-reactive hot melt type adhesive (5) to the microcomponent (18) and/or the substrate (1), heating the hot melt type adhesive (5), and placing the microcomponent (18) onto the substrate (1). The hot melt type adhesive (5) is on the contact surfaces between the microcomponent (18) and the substrate (1) during and after gluing.
Abstract:
A business object model, which reflects data that is used during a given business transaction, is utilized to generate interfaces. This business object model facilitates commercial transactions by providing consistent interfaces that are suitable for use across industries, across businesses, and across different departments within a business during a business transaction.
Abstract:
A description is given of a device (1) for tracking the movement of a tool of a handling unit (2), having at least one directional radiator (5) that can be aligned with the tool and be tracked, and a signal evaluation unit (4) for determining the movement.The directional radiators (5) have actuators for aligning the directional beam (6) at adjustable angles with reference to a fixed spatial plane, and angle sensors for determining the current directional beam angle with reference to the spatial plane, the angle sensors being connected to the signal evaluation unit (4). Directional beam sensors (7) for detecting the directional beam (6) are arranged with a fixed reference to the tool and movably therewith, the directional beam sensors (7) being connected to the signal evaluation unit (4). The signal evaluation unit (4) is set up for tracking the directional beams (6) of the at least one directional radiator (5) onto an assigned, moving directional beam sensor (7), and for determining the arbitrary movement of the tool in three-dimensional space as a function of the directional beam angles.
Abstract:
A system and method for populating a database with a set of image sequences of an object is disclosed. The database is used to detect localization of a guidewire in the object. A set of images of anatomical structures is received in which each image is annotated to show a guidewire, catheter, wire tip and stent. For each given image a Probabilistic Boosting Tree (PBT) is used to detect short line segments of constant length in the image. Two segment curves are constructed from the short line segments. A discriminative joint shape and appearance model is used to classify each two segment curve. A shape of an n-segment curve is constructed by concatenating all the two segment curves. A guidewire curve model is identified that includes a start point, end point and the n-segment curve. The guidewire curve model is stored in the database.
Abstract:
In a production method for producing molded articles from fiber composites, superparamatic particles are selected which become coupled to an external alternating magnetic field. These superparamagnatic particles are added to a resin portion of a strip-shaped starting material further comprising reinforcing fibers. The strip-shaped starting material is then continuously advanced, and, while being advanced, heated by coupling-in an external alternating magnetic field to which the superparamagnatic particles in the resin portion become coupled. Next, the heated starting material is continuously molded into a molded article; and the resin portion in the molded particle is cured.
Abstract:
A production method for producing molded articles from fiber composites, superparamagnetic particles are selected which become coupled to an external alternating magnetic field. These superparamagnetic particles are added to a resin portion of a strip-shaped starting material further comprising reinforcing fibers. The strip-shaped starting material is then continuously advanced, and, while being advanced, heated by coupling-in an external alternating magnetic field to which the superparamagnetic particles in the resin portion become coupled. Next, the heated starting material is continuously molded into a molded article; and the resin portion in the molded particle is cured.