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: 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: 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: 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: 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: 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: 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: 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: 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: A method is for automatically checking a superposition image of a body region of interest of an examination object. The method includes determining at least one reference position of an object in a reference image; determining a current position of the object in a current fluoroscopic image; generating the superposition image by superimposing the current fluoroscopic image and the reference image; determining at least one parameter characterizing a measure of discrepancy between the at least one reference position of an object and the current position of the object in the superposition image; and displaying the measure of discrepancy determined.

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: 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.