Abstract: A system (IPS) and related method for image processing, in particular dark-field or phase contrast imaging to reduce motion artifacts. The system comprises an input interface (IN) for receiving a series of projection images (?) acquired by an X-ray imaging apparatus (XI) of an object (OB) for a given projection direction, the imaging apparatus (XI) configured for phase-contrast and/or dark-field imaging A phase-contrast and/or dark-field image generator (IGEN) applies an image generation algorithm to compute a first image based on the series the projection images (?). A motion artifact detector (MD) detects a motion artifact in the first image. A combiner (?) combines, if a motion artifact is so detected, a part of the first image with a part of at least one auxiliary image to obtain a combined image. The auxiliary image was previously computed by a gated application of the image generation algorithm in respect of a subset of the series of the projection images (?).

Abstract: The invention relates to a method (100) for supervised training of an artificial neural network for medical image analysis. The method comprises acquiring (SI) first and second sets of training samples, wherein the training samples comprise feature vectors and associated predetermined labels, the feature vectors being indicative of medical images and the labels pertaining to anatomy detection, to semantic segmentation of medical images, to classification of medical images, to computer-aided diagnosis, to detection and/or localization of biomarkers or to quality assessment of medical images. The accuracy of predetermined labels may be better for the second set of training samples than for the first set of training samples. The neural network is trained (S3) by reducing a cost function, which comprises a first and a second part.

Abstract: The invention relates to a device (10) for imaging of an object (30), an X imaging system (1) for imaging of an object (30), a method for imaging of an object (30), a computer program element for controlling such device or system for performing such method and a computer readable medium having stored such computer program element. The device (10) comprises a provision unit (11) and a processing unit (12). The provision unit (11) is configured to provide position and orientation data of an object (30) to be imaged and to provide position and orientation data of an imaging unit (20) relative to a region of the object (30) and adjusted for a subsequent imaging of the region. The processing unit (12) is configured to combine the position and orientation data of the object (30) and the position and orientation data of the imaging unit (20) to determine the region to be subsequently imaged and to set at least one imaging parameter of the imaging unit (20) based on the determined region to be subsequently imaged.

Abstract: An image processing method and related apparatus. An image is decomposed into spatial frequency components images. The spatial frequency component images are normalized relative to specific noise models, remapped by a noise reduction function and are then combined to obtain a noise reduced version of the image.

Abstract: The invention relates to a device (10) for imaging of an object (30), an X imaging system (1) for imaging of an object (30), a method for imaging of an object (30), a computer program element for controlling such device or system for performing such method and a computer readable medium having stored such computer program element. The device (10) comprises a provision unit (11) and a processing unit (12). The provision unit (11) is configured to provide position and orientation data of an object (30) to be imaged and to provide position and orientation data of an imaging unit (20) relative to a region of the object (30) and adjusted for a subsequent imaging of the region. The processing unit (12) is configured to combine the position and orientation data of the object (30) and the position and orientation data of the imaging unit (20) to determine the region to be subsequently imaged and to set at least one imaging parameter of the imaging unit (20) based on the determined region to be subsequently imaged.

Abstract: An image processing method and related apparatus. An image is decomposed into spatial frequency components images. The spatial frequency component images are normalized relative to specific noise models, remapped by a noise reduction function and are then combined to obtain a noise reduced version of the image.

Abstract: In a process for planning and monitoring a surgical operation, an operation site is established. At least one desired image of the operation site is generated from structural data which can be obtained by noninvasive means, and the planning is based on at least one section surface along which tissue is to be severed during the operation. An image of the planned section surface is then generated, which image is superposed during the operation on an actual image of the operation site or is projected onto the operation site itself. A three-dimensional desired image is used as the basis for planning the section surface. A three-dimensional image of the section surface is generated which is superposed on the desired image. It is created by computer-aided means from data taken from images generated in different ways. The images show the operation site in layers, each lying on& above the other.