Abstract: A method is for image data processing. In an embodiment, the method includes providing a 3D medical image data record, which relates to an elongated anatomical structure, a center line of the elongated anatomical structure being defined in the 3D medical image data record; defining at least one curved slice in the 3D medical image data record, the at least one curved slice winding around the center line; scanning at least one part of the 3D medical image data record into the at least one curved slice; and unrolling the at least one curved slice, into which the at least one part of the 3D medical image data record was scanned, at least one unrolled flat slice being determined. An image data processing unit is also for image data processing and a medical imaging apparatus includes the image data processing unit.

Abstract: A method for defining scanning parameters of a CT scan of a region of interest of an examination object (O) using a CT system is described. In an embodiment of the method, external image capture of external features of the examination object is carried out using an additional image capture unit. In addition, at least one scanning parameter in the axial direction of the CT system is determined on the basis of the external image capture. Finally, a CT scan is performed using the at least one scanning parameter determined. A CT scan range defining device is additionally described. A computed tomography system is also described.

Abstract: In one example embodiment, a method for assessing a patient include determining scan parameters of the patient using deep learning, scanning the patient using the determining scan parameters to generate at least one three-dimensional (3D) image, detecting an injury from the 3D image using the deep learning, classifying the detected injury using the deep learning and assessing a criticality of the detected injury based on the classifying using the deep learning.

Abstract: A method is for image data processing. In an embodiment, the method includes providing a 3D medical image data record, which relates to an elongated anatomical structure, a center line of the elongated anatomical structure being defined in the 3D medical image data record; defining at least one curved slice in the 3D medical image data record, the at least one curved slice winding around the center line; scanning at least one part of the 3D medical image data record into the at least one curved slice; and unrolling the at least one curved slice, into which the at least one part of the 3D medical image data record was scanned, at least one unrolled flat slice being determined. An image data processing unit is also for image data processing and a medical imaging apparatus includes the image data processing unit.

Abstract: The invention relates to a prosthetic foot with a housing (12) on which a connector (15) for a below-knee prosthesis can be arranged, with a forefoot (21) and a heel (43), wherein the housing (12) and the forefoot (21) are connected by at least one forefoot spring element (28), wherein the forefoot (21) and the heel (43) are connected by at least one sole spring element (41), and wherein the heel (43) and the housing (12) are connected by at least one heel spring element (30), wherein the end portions belonging to the at least one forefoot spring element (28) and to the at least one sole spring element (41), and assigned to the forefoot (21), are positioned relative to each other with at least one holding mechanism (34) in such a way that the at least one forefoot spring element (28) and the at least one sole spring element (41) are guided movably relative to each other along their longitudinal axis during a rollover movement.

Abstract: A method for defining scanning parameters of a CT scan of a region of interest of an examination object (O) using a CT system is described. In an embodiment of the method, external image capture of external features of the examination object is carried out using an additional image capture unit. In addition, at least one scanning parameter in the axial direction of the CT system is determined on the basis of the external image capture. Finally, a CT scan is performed using the at least one scanning parameter determined. A CT scan range defining device is additionally described. A computed tomography system is also described.

Abstract: In a method and apparatus to automatically generate a selected image data set from an entirety of medical measurement data of an examination subject, the entirety of the measurement data of the examination subject is received as input data, and at least a portion of the measurement data is automatically analyzed with regard to a number of specific, topologically representative content feature parameter values of the examination subject selected measurement data from the entirety is made, with the selected data associated with defined, specific, topologically representative content feature parameter values. The selected measurement data are assembled into a selected image data set, as output data.

Abstract: A method and CT system are disclosed for recording and distributing whole-body CT data of a polytraumatized patient. In at least one embodiment the method includes producing a whole-body topogram including division and assignment of z-coordinate regions of the whole-body topogram to different body regions; performing a whole-body CT scan with the recording of CT raw data; assigning the CT raw data to the different body regions; reconstructing CT image datasets on a computer of the CT system; and sending only body region-specific CT image datasets to a number of remote workstations operated by technical specialists.

Abstract: In a method and apparatus to automatically generate a selected image data set from an entirety of medical measurement data of an examination subject, the entirety of the measurement data of the examination subject is received as input data, and at least a portion of the measurement data is automatically analyzed with regard to a number of specific, topologically representative content feature parameter values of the examination subject selected measurement data from the entirety is made, with the selected data associated with defined, specific, topologically representative content feature parameter values. The selected measurement data are assembled into a selected image data set, as output data.

Abstract: A method is disclosed for determining a 2D contour of a vessel structure imaged in 3D image data for a first slice plane of the vessel structure, wherein the 3D image data was generated using a medical imaging system and has a multiplicity of image voxels which are all assigned a respective image value.

Abstract: A method and CT system are disclosed for recording and distributing whole-body CT data of a polytraumatized patient. In at least one embodiment the method includes producing a whole-body topogram including division and assignment of z- coordinate regions of the whole-body topogram to different body regions; performing a whole-body CT scan with the recording of CT raw data; assigning the CT raw data to the different body regions; reconstructing CT image datasets on a computer of the CT system; and sending only body region-specific CT image datasets to a number of remote workstations operated by technical specialists.

Abstract: A method for automatic detection of a contrast agent inflow in a blood vessel of a patient with a CT system, and CT system for carrying out this method, are disclosed. At least one embodiment of the invention relates to a method which determines the position of at least one blood vessel in section image representations in a CT examination without external intervention with the aid of an active shape or active appearance model, measures the inflow of contrast agent in this region in a targeted way and automatically initiates at least one action in the event of inflowing contrast agent.

Abstract: A method is described for structurally individualized simulation of the introduction of a wall support element into a section of a tubular structure. To this end, image data of the interior of the section of the tubular structure are provided. A start point and an end point of the section of the tubular structure are then determined, and a lumen and a profile line of the tubular structure are determined between the start point and the end point. Furthermore, an individual elastic structure model for the section of the tubular structure is identified by adapting a tubular elastic initial model to the section of the tubular structure on the basis of the identified lumen and the profile line, and a tubular elastic wall support element model which is positioned inside the individual structure model is provided.

Abstract: A method is disclosed for automatically determining the rectum distance in a patient's colon, the path in the colon between a selected site, preferably a lesion, and the rectum being determined by processing 3D image data records. At least two 3 image data records are recorded with the patient being differently positioned. Further, the path between the rectum and selected site is determined from the common perusal of the at least two 3D image data records.

Abstract: In a bi-metal snap-action disc with an arched main element whose arch projecting in one direction snaps over to an opposite direction when a certain temperature is reached, the main element is provided with a heating element formed by an electrically conductive strand disposed directly on the main element.

Abstract: A method is disclosed for determining a 2D contour of a vessel structure imaged in 3D image data for a first slice plane of the vessel structure, wherein the 3D image data was generated using a medical imaging system and has a multiplicity of image voxels which are all assigned a respective image value.

Abstract: A method is described for structurally individualized simulation of the introduction of a wall support element into a section of a tubular structure. To this end, image data of the interior of the section of the tubular structure are provided. A start point and an end point of the section of the tubular structure are then determined, and a lumen and a profile line of the tubular structure are determined between the start point and the end point. Furthermore, an individual elastic structure model for the section of the tubular structure is identified by adapting a tubular elastic initial model to the section of the tubular structure on the basis of the identified lumen and the profile line, and a tubular elastic wall support element model which is positioned inside the individual structure model is provided.

Abstract: A method is disclosed for automatically determining the rectum distance in a patient's colon, the path in the colon between a selected site, preferably a lesion, and the rectum being determined by processing 3D image data records. At least two 3D image data records are recorded with the patient being differently positioned. Further, the path between the rectum and selected site is determined from the common perusal of the at least two 3D image data records.