Abstract: For patient positioning for scanning, a current pose of a patient is compared to a desired pose. The desired pose may be based on a protocol or a pose of the same patient in a previous examination. Any differences in pose, such as arm position, leg position, head orientation, and/or torso orientation (e.g., laying on side, back, or stomach), are communicated. By changing the current pose of the patient to be more similar to the desired pose, a more consistent and/or registerable dataset may be acquired by scanning the patient.

Abstract: A method and apparatus for whole body bone removal and vasculature visualization in medical image data, such as computed tomography angiography (CTA) scans, is disclosed. Bone structures are segmented in the a 3D medical image, resulting in a bone mask of the 3D medical image. Vessel structures are segmented in the 3D medical image, resulting in a vessel mask of the 3D medical image. The bone mask and the vessel mask are refined by fusing information from the bone mask and the vessel mask. Bone voxels are removed from the 3D medical image using the refined bone mask, in order to generate a visualization of the vessel structures in the 3D medical image.

Abstract: A window regulator for raising and lowering a windowpane in a motor vehicle, and a vehicle door having at least one window regulator.

Abstract: The present embodiments relate to cinematic volume renderings and volumetric Monte-Carlo path tracing. The present embodiments include systems and methods for integrating semantic information into cinematic volume renderings. Scan data of a volume is captured by a scanner and transmitted to a server or workstation for rendering. The scan data is received by a server or workstation. The server or workstation extracts semantic information and/or applies semantic processing to the scan data. A cinematic volume rendering is generated from the scan data and the extracted semantic information.

Abstract: The present embodiments relate to cinematic volume renderings and volumetric Monte-Carlo path tracing. The present embodiments include systems and methods for integrating semantic information into cinematic volume renderings. Scan data of a volume is captured by a scanner and transmitted to a server or workstation for rendering. The scan data is received by a server or workstation. The server or workstation extracts semantic information and/or applies semantic processing to the scan data. A cinematic volume rendering is generated from the scan data and the extracted semantic information.

Abstract: A method operates an x-ray system for examining an object. In order to optimize the operation of an x-ray system, in particular the dose regulation and/or the image processing, the following method steps are performed. Radiation is passed through the object to be examined and a number of fluoroscopic images of the object are generated. A relevant image region of a fluoroscopic image is selected by a user of the x-ray system. An image-based dose regulation of the radiation dose used for passing radiation through the object is carried out using the selected image region and/or image processing is carried out using the selected image region.

Abstract: A method for visualizing brain connectivity includes receiving image data including molecular diffusion of brain tissue, constructing a tree data structure from the image data, wherein the tree data structure comprises a plurality of network nodes, wherein each network node is connected to a root of the tree data structure, rendering a ring of a radial layout depicting the tree data structure, wherein a plurality of vertices may be traversed from the top to the bottom, duplicating at least one control point for spline edges sharing a common ancestor, and bundling spline edges by applying a global strength parameter ?.

Abstract: A method and apparatus for whole body bone removal and vasculature visualization in medical image data, such as computed tomography angiography (CTA) scans, is disclosed. Bone structures are segmented in the a 3D medical image, resulting in a bone mask of the 3D medical image. Vessel structures are segmented in the 3D medical image, resulting in a vessel mask of the 3D medical image. The bone mask and the vessel mask are refined by fusing information from the bone mask and the vessel mask. Bone voxels are removed from the 3D medical image using the refined bone mask, in order to generate a visualization of the vessel structures in the 3D medical image.

Abstract: The process of creating a 3D printer ready model of patient specific anatomy is automated. Instead of manual manipulation of the 3D mesh from imaging to create the 3D printer ready model, an automated manipulation is provided. The segmentation may be automated as well. In one approach, a transform between a predetermined mesh of anatomy and patient specific 3D mesh is calculated. The predetermined mesh has a corresponding 3D printer ready model. By applying the transform to the 3D printer ready model, the 3D printer ready model is altered to become specific to the patient. In addition, target manipulation that alters semantic parts of the anatomical structure may be included in 3D printing.

Abstract: A method and apparatus for providing reports of medical procedures includes a biometric data recorder to record and transmit biometric data of a patient, the biometric data being transmitted with a medical report of the medical procedure. The medical report and biometric data are transmitted as an encrypted transmission to an information center for storage. The medical reports of steps in the medical procedure for a patient are linked using the biometric data even if performed by different medical service providers. Medical reports of plural patients undergoing the procedure are stored, linked according to patient using the patient biometric data. Reports generated from the linked data anonymously report a given patient's status following the procedure. Statistical reports are generated on plural patients undergoing the procedure, and competing procedures are compared using the statistical reports.

Abstract: A method and system for data dependent multi phase image visualization, includes: acquiring a plurality of series of image data acquisitions; registering the plurality of series of image data acquisitions to a same reference series to create a plurality of registered series; combining information from the registered series to create a new series; creating a further new series by a selection decision based on combination rules from information from the plurality of registered series and the new series; and displaying the further new series.

Abstract: Systems and methods are provided to record at least a first and a second image of a marking on a surface of an object with a mobile computing device including a processor, a display and a camera with a lens. The lens and the display are located at the same side of the body of the computing device. The first image is taken with a first part of the display illuminating the object and the second image is taken with a second part of the display illuminating the object illuminating the object from different directions. Different illumination directions provide different shadow effects related to ridges and grooves on the surface. Processing the images which are substantially registered allows extraction of markings created by ridges and or grooves on the surface of the object. Computer tablets and smart phones perform the steps of the present invention.

Abstract: In order to optimize the recording time, provision is made of a method for recording an X-ray image using an X-ray system with an X-ray detector, an X-ray source, a system control, and a computational unit, wherein information relating to the relative direct radiation component in a reference X-ray image and information relating to the utilized recording geometry and/or the utilized primary X-ray dose and/or the utilized filtering is used to determine a relaxation time, during which a ghosting effect of the X-ray detector resulting from a preceding X-ray image decays at least in part, which relaxation time is adapted to the X-ray image to be recorded, and the determined relaxation time is utilized to actuate the recording of the X-ray image.

Abstract: A method for extracting a colonic centerline includes segmenting a colon from a digital image of a patient's abdomen, selecting one extreme point of the colon as a source point, calculating a first distance transform of every point in the colon that is a distance of a point to the source point, and calculating a second distance transform of every point in the colon, that is a shortest distance of a point to a wall point of the colon. A centerline path is generated through the colon using the first and second distance transforms, starting from a point with a greatest distance to the source point as determined by the first distance transform, and adding points to the centerline path by selecting points with a greatest distance to the source point that are farthest from the wall of the colon using the second distance transform.

Abstract: A method for visualizing brain connectivity includes receiving image data including molecular diffusion of brain tissue, constructing a tree data structure from the image data, wherein the tree data structure comprises a plurality of network nodes, wherein each network node is connected to a root of the tree data structure, rendering a ring of a radial layout depicting the tree data structure, wherein a plurality of vertices may be traversed from the top to the bottom, duplicating at least one control point for spline edges sharing a common ancestor, and bundling spline edges by applying a global strength parameter ?.

Abstract: A system and method for colon unfolding via skeletal subspace deformation comprises: performing a centerline computation on a segmented image for deriving a centerline thereof; computing a distance map utilizing said centerline and said segmented image to derive said distance map; generating a polyhedral model of the lumen of said colon; and utilizing said polyhedral model, said distance map, and said centerline for performing a straightening operation on said centerline.

Abstract: A method for generating a positron emission tomography (PET) attenuation correction map from magnetic resonance (MR) images includes segmenting a 3-dimensional (3D) magnetic resonance (MR) whole-body image of a patient into low-signal regions, fat regions, and soft tissue regions; classifying the low-signal regions as either lungs, bones, or air by identifying lungs, identifying an abdominal station, and identifying a lower body station; and generating an attenuation map from the segmentation result by replacing the segmentation labels with corresponding representative attenuation coefficients.

Abstract: A method for extracting a colonic centerline includes segmenting a colon from a digital image of a patient's abdomen, selecting one extreme point of the colon as a source point, calculating a first distance transform of every point in the colon that is a distance of a point to the source point, and calculating a second distance transform of every point in the colon, that is a shortest distance of a point to a wall point of the colon. A centerline path is generated through the colon using the first and second distance transforms, starting from a point with a greatest distance to the source point as determined by the first distance transform, and adding points to the centerline path by selecting points with a greatest distance to the source point that are farthest from the wall of the colon using the second distance transform.

Abstract: Modern image processing systems for the postprocessing of X-ray images require a large number of input parameters and take a great deal of time. So that calculations do not need to be made sequentially for different sets of input parameters, parallel processors are used, in which the same image processing program is executed in each case, but with different input parameters in each case. A large number of processed X-ray images is thus obtained, which in particular can also be displayed simultaneously. From the multiple processed x-ray images, a repeated postprocessing of a processed x-ray image can take place by mixing.

Abstract: A method for automatic centerline extraction for a virtual endoscopy image of an organ having a boundary surface includes centering on selected points of an initial path through the image, which is derived from an endoscopy dataset, respective spheres exhibiting respective maximal diameters short of contacting the boundary surface; and forming a centered path consecutively joining centers of the spheres.