Abstract: A method and analysis devices for classifying tissue samples are provided. In the method, annotated training data is generated from a known positive tissue sample and a known negative tissue sample from a patient, and the annotated training data is then used to train an automatic classifier patient-specifically. To delimit an affected tissue region of the patient, then, unknown tissue samples from the same patient are classified by the automatic classifier trained for the patient.

Abstract: A method for providing a corrected dataset includes receiving a preoperative dataset containing an image and/or a model of an examination region of an examination subject. Length information is received. At least a part of a medical object is arranged intraoperatively in the examination region. The length information includes information relating to a length of the part of the medical object arranged in the examination region. First positioning information relating to a virtual positioning of a predefined section of the part of the medical object arranged in the examination region is determined based on the preoperative dataset and the length information. The method includes receiving and/or determining second positioning information relating to a real positioning of the predefined section. A transformation rule for minimizing a deviation between the first and second positioning information is determined, and the corrected dataset is generated by applying the transformation rule to the preoperative dataset.

Abstract: Methods and systems are provided for determining a stiffness information of a medical instrument used during a minimally invasive interventional procedure in a vascular system of a patient by recording a three-dimensional volume image of the vascular system at least in the intervention region.

Abstract: A registration facility and a registration method are provided where a pre-interventionally generated simulation model of an examination object is registered with an intra-interventional live image. The simulation model is adapted to the live image using at least one simulated course line of an anatomical feature and/or an instrument by minimizing a line distance metric, specified as a cost function, for a distance between the simulated course line and an actual intra-interventional course of the instrument that is visible in the live image.

Abstract: An apparatus for positioning a medical object includes a moving apparatus for robotically moving the medical object. The medical object includes a predefined section. The predefined section is at least partially arranged in an examination object. The apparatus is configured to receive a control specification. The moving apparatus is configured to position the predefined section based on the control specification. The apparatus is further configured to receive positioning information on the predefined section and determine a degree of deviation. The degree of deviation describes a deviation between the control specification and the positioning information. The apparatus is configured to determine a correction specification for minimizing the deviation based on the degree of deviation. The moving apparatus is further configured to reposition the predefined section based on the correction specification.

Abstract: A method is for determining a vessel puncture position including reception of a first image dataset of a region of interest via an interface, the first image dataset mapping the vessel. The method further includes determination of a vessel line of the vessel based on the first image dataset via a computing unit. The method further includes determination of a gradient measure based on the vessel line. Finally, the method includes a determination of the vessel puncture position based on the gradient measure. A position-determining unit, a computer program product and a computer-readable storage medium are for determining a vessel puncture position.

Abstract: The disclosure relates to a display apparatus for displaying an augmented and/or virtual reality. The display apparatus has a sensor unit configured to capture a user input. The display apparatus is further configured to receive a medical planning dataset and receive a medical image dataset having at least one projection mapping. The display apparatus is further configured to generate and display the augmented and/or virtual reality based on the planning dataset and the at least one projection mapping. The display apparatus is further configured to adapt a virtual spatial positioning of the planning dataset relative to the at least one projection mapping in the augmented and/or virtual reality based on the user input. The disclosure further relates to a system, a method for registering a planning dataset with an image dataset, and a computer program product.

Abstract: A thermoforming packaging machine includes a forming station for thermoforming troughs in a film web, a filling path for filling products into the troughs, a sealing station for sealing the troughs, a chain guide for guiding a transport chain for the film web, a transverse cutting device for cutting the film web in a direction transverse to the transport direction, a longitudinal cutting device for cutting the film web in the transport direction, and a control device for controlling processes running on the thermoforming packaging machine. The transverse cutting device comprises a film punch, an adjustment drive which can be controlled by the control device for closing and opening the film punch, and a detection unit which is connected to the control device and which has at least one sensor which is configured to detect, per processing cycle, a force progression occurring at the film punch during opening and closing.

Abstract: A method for deformation correction includes receiving a preoperative 3D image data set from an examination region of an examination object, generating a segmented 3D image data set by segmenting an anatomical structure in the preoperative 3D image data set, and acquiring image data from the examination region. A medical object is arranged in the examination region. The medical object is identified in the image data, and the segmented 3D image data set is registered with the image data. An overlay data set is generated and displayed based on the segmented 3D image data set and the image data. A position of a deviation between the image data and the segmented 3D image data set is defined, and a deformation rule is determined for the reduction of the deviation between the image data and the segmented 3D image data set. The corrected overlay data set is generated and provided.

Abstract: For particularly good communication even with difficult patients, a monitoring system for monitoring a patient, such as during a medical diagnostic or therapeutic procedure, is provided. The monitoring system includes a voice cloning device having a voice generator. The voice cloning device is configured to replace a natural voice of a person with a cloned synthetic voice different from the voice of the person. At least two synthetic voices may be selected. The monitoring system also includes a measuring unit configured to record at least one physiological parameter of the patient, an evaluation unit configured to evaluate the at least one measured physiological parameter of the patient, and an actuation unit configured to actuate the voice cloning device such that a synthetic voice is selected or rejected depending on a result of the evaluation by the evaluation unit.

Abstract: A method for acquiring and processing image data of an examination object is provided. A three-dimensional bone model and a three-dimensional blood vessel model are provided. A two-dimensional, first X-ray image and a two-dimensional, second X-ray image of the examination region are acquired having a same image geometry. The first X-ray image is subtracted from the second X-ray image to provide a subtraction image. A first intermediate registration of the first X-ray image is determined in relation to the bone model, and a second intermediate registration of the subtraction image is determined in relation to the blood vessel model. A transformation function that images the first intermediate registration onto the second intermediate registration is determined. A third X-ray image of the examination region is acquired. A bone registration of the third X-ray image in relation to the bone model is determined.

Abstract: A method and computing unit are for automatically checking a superposition image of a body region of interest of an examination object. The method and computing unit include determining at least one reference position of an object in a reference image; determining a current position of the object; generating the superposition image by superimposing the current fluoroscopic image and the reference image; determining at least one parameter characterizing a measure of discrepancy; and displaying the measure of discrepancy determined. Further, in at least one embodiment, the various aspects of the method or performed by at least one processor of the computing unit, are performed in quasi real time.

Abstract: A system and method for deformation simulation of a hollow organ able to be deformed by the introduction of a medical instrument. The method includes provision of a pre-trained machine-learning algorithm, provision of a 3D medical recording of the hollow organ with surrounding tissue, with the 3D recording having been recorded before the introduction of a medical instrument, segmentation or provision of a segmentation of the 3D medical recording of the hollow organ and establishment or provision of a three-dimensional model of the hollow organ, provision of information about a medical instrument introduced or to be introduced, and simulation of the deformation of the hollow organ to be expected from introduction of the instrument on the basis of the segmented 3D medical recording of the hollow organ and of the surrounding tissue and of the information about the instrument by using the pre-trained machine-learning algorithm.

Abstract: The disclosure relates to a method and a system for generating an enriched image of a target object and to a corresponding computer program and a computer-readable storage medium, on which the computer program is stored. In the method, image data of the target object is acquired. Furthermore, tactile data is acquired for the target object, which characterizes a mechanical resistance of at least one section of the target object against a force applied thereto. The enriched image is then generated by merging the image data and the tactile data and/or a classification of the respective section derived therefrom.

Abstract: A registration facility and a registration method are provided where a pre-interventionally generated simulation model of an examination object is registered with an intra-interventional live image. The simulation model is adapted to the live image using at least one simulated course line of an anatomical feature and/or an instrument by minimizing a line distance metric, specified as a cost function, for a distance between the simulated course line and an actual intra-interventional course of the instrument that is visible in the live image.

Abstract: Methods and systems are disclosed herein for improved safer planning support during interventional procedures for inserting stents into a hollow organ of a patient by a guide device. One method includes: providing or recording a three-dimensional image data set of the hollow organ in a first position; segmentation or providing a segmentation of the three-dimensional image data set; providing or recording a two-dimensional image of the guide device introduced into the hollow organ; overlaying the three-dimensional image data set with the two-dimensional image; determining at least one corrected position of one or more section(s) of the hollow organ respectively using the overlaying of the three-dimensional image data set with the two-dimensional image; and determining the respective deformation energy of the hollow organ in the section(s) for the case of removal of the guide device using the previously determined corrected position compared to the first position.

Abstract: The disclosure relates to a method and also to a correspondingly configured imaging device for planning support for an interventional procedure. In the method, a model of a hollow organ is created from a 3D image dataset. A deformation of the hollow organ is then simulated based on a course of a guide facility in the hollow organ through a deformation of the model. In accordance with the deformed model, a spatially resolved compression and/or stretching of the hollow organ, which is brought about by an introduction of the guide facility, is determined and specified.

Abstract: An angiographic examination method for depicting a target region as an examination object using an angiography system includes capturing a volume data set of the target region with the examination object, registering the volume data set to a C-arm, and extracting information about an assumed course of the examination object in the volume data set. The method also includes generating a 2D projection image of a medical instrument in the target region, 2D/3D merging the 2D projection image and the registered volume data set for generating a 2D overlay image, and detecting the instrument in the 2D overlay image with a first projection matrix. The method includes generating a virtual 2D projection using a virtual projection matrix, 3D reconstructing the instrument, and distorting at least part of the reference image such that the current and the assumed course of vessels are made to be congruent.

Abstract: A method for performing 2D/3D registration includes acquiring a 3D image. A pre-contrast 2D image is acquired. A sequence of post-contrast 2D images is acquired. A 2D image is acquired from a second view. The first view pre-contrast 2D image is subtracted from each of the first view post-contrast 2D images to produce a set of subtraction images. An MO image is generated from the subtraction images. A 2D/3D registration result is generated by optimizing a measure of similarity between a first synthetic 2D image and the MO image and a measure of similarity between a second synthetic image and the intra-operative 2D image from the second view by iteratively adjusting an approximation of the pose of the patient in the synthetic images and iterating the synthetic images using the adjusted approximation of the pose.

Abstract: An angiographic examination method for depicting a target region as an examination object using an angiography system includes capturing a volume data set of the target region with the examination object, registering the volume data set to a C-arm, and extracting information about an assumed course of the examination object in the volume data set. The method also includes generating a 2D projection image of a medical instrument in the target region, 2D/3D merging the 2D projection image and the registered volume data set for generating a 2D overlay image, and detecting the instrument in the 2D overlay image with a first projection matrix. The method includes generating a virtual 2D projection using a virtual projection matrix, 3D reconstructing the instrument, and distorting at least part of the reference image such that the current and the assumed course of vessels are made to be congruent.