Abstract: A method is provided for generating a deformable model (300) for segmenting an anatomical structure in a medical image. The anatomical structure comprises a wall. The deformable model (300) is generated such that it comprises, in addition to two surface meshes (320, 360), an intermediate layer mesh (340) for being applied in-between a first surface layer of the wall and a second surface layer of the wall. In generating the intermediate layer mesh (340), the mesh topology of at least part (400) of the intermediate layer mesh is matched to the mesh topology of one of the surface meshes (320, 360), thereby establishing matching mesh topologies. The deformable model (300), as generated, better matches the composition of such walls, thereby providing a more accurate segmentation.

Abstract: The invention provides a ‘model-based’ imaging system in which surface values to be applied to a segmented surface of an imaged body are determined on the basis of projections cast into the volume of the imaged body, the projections made at angles and depths determined on the basis of information encoded within an anatomical model. In examples, the angles and depths are determined on the basis of a comprehensive segmentation of the imaged body, itself performed on the basis of the anatomical model. By locally varying projection angles and depths around the body, in dependence upon local anatomical context, improved imaging of the internal structure of the imaged body may be achieved. In particular, images may be generated providing representations of the internal structure which are of greater clinical utility or relevance. 4D data sets may also be better handled, through use of anatomical context to maintain consistency in representations across multiple frames.

Abstract: In planning of radiation therapy treatment of at least one structure in a region of a patient body, a first treatment plan is generated on the basis of a planning image of the body region and on the basis of dose objectives. A further image of the body region of the patient body is received, and a transformation is determined for generating an adapted treatment plan from the first treatment plan and/or for generating an adapted dose distribution from the dose distribution corresponding to the first treatment plan on the basis of the further image and determines an adapted treatment plan on the basis of the transformation and/or the adapted dose distribution. The transformation on the basis of the dose objectives. In adapting the dose distribution, an efficient iterative dosimetric patient setup optimization may be employed to reduce the dose computations.

Abstract: A method includes visually displaying an electronically formatted medical report, wherein the electronically formatted medical report references a set of electronically formatted images, acquiring the set of electronically formatted images, and linking the electronically formatted medical report and the set of electronically formatted images. A computing apparatus (102), includes a memory (108) with at least one computer readable instruction (106) and a processor (104) that executes the at least one computer readable instruction. The processor, in response to executing the at least one computer readable instruction, visually displays an electronically formatted medical report, wherein the electronically formatted medical report references a set of electronically formatted images, acquires the set of electronically formatted images, and links the electronically formatted medical report and the set of electronically formatted images.

Abstract: The present invention relates to an apparatus for providing a patient specific 3D model of a body part. It is described to provide (210) at least one 2D X-ray image comprising 2D X-ray image data of a vascular structure of a patient's body part. A 3D model of the body part is provided (220), the 3D model comprising a 3D modelled vascular structure, wherein at least one parameter commands an appearance of the 3D modelled vascular structure. The 3D modelled vascular structure is confronted (230) with the 2D X-ray image data of the vascular structure to determine the at least one parameter. The 3D model is updated (240) as a function of the determined at least one parameter. A medical report is generated (250) based on information determined from the 3D model.

Abstract: Interventional medical procedures involve a complex sequence of actions, often involving many different medical professionals and items of equipment. These actions, and their notable attributes, should be recorded in detail, in case they are required during a consultation in the future. A typical medical interventional procedure could require hundreds, or even thousands, of actions to be recorded. This places demands on a medical practitioner during the intervention. Typically, important information is dictated into a report after an intervention. Attempting to produce the report by traditional means, such as by dictation, after the intervention is time-consuming. The proposed approach enables the formation of clinical reports based on structured interventional medical reporting data recorded during a medical intervention in an easier, and more accurate way. Interventional procedure status indications are used which may be derived from existing medical equipment, or information inputs.

Abstract: The present invention relates to an apparatus for providing a synthetic representation of a vascular structure. It is described to provide (210) at least one 2D X-ray image comprising 2D X-ray image data of a vascular structure of a patient's body part is provided. A 3D model of the body part is provided (220), the 3D model comprising a 3D modelled vascular structure. A 2D projection of the 3D model of the body part is determined (230), the 2D projection of the 3D model of the body part comprising a 2D projection of the 3D modelled vascular structure. The 3D model of the body part is transformed (240). The transform of the 3D model of the body part comprises a determination of the pose of the 3D model of the body part such that a 2D projection of the 3D modelled vascular structure associated with the transformed 3D model of the body part is representative of the 2D X-ray image data of the vascular structure of the patient's body part.

Abstract: A radiology workstation (20) includes a display device (22), at least one user input device (24, 26, 28), and an electronic data processor. The workstation provides an image rendering component (30) for rendering a radiological image, and a report data entry component (32) for entry of a radiology examination report (34) via the at least one user input device and for display of the radiology examination report during entry. The workstation further provides a dynamic checklist component (40) for storing a queue (44) of open checklist items, and for: displaying a checklist comprising open checklist items stored in the queue; dynamically analyzing the radiology examination report during entry to identify a checklist update trigger; updating the queue of open checklist items based on the identified checklist update trigger; and updating the display of the checklist to comprise the open checklist items stored in the updated queue.

Abstract: System (100) for enabling an interactive inspection of a region of interest (122) in a medical image (102), the system comprising display means (160) for displaying user interface elements (310, 320, 330) of actions associated with the interactive inspection of the region of interest and a processor (180) for executing one of the actions when a user selects an associated one of the user interface elements, the system further comprising establishing means (120) for establishing the region of interest in the medical image, determining means (140) for determining an anatomical property (142) of the region of interest in dependence on an image property of the region of interest, and the display means (160) being arranged for (i), in dependence on the anatomical property, establishing a display configuration (162) of the user interface elements, and (ii) displaying the user interface elements in accordance with the display configuration.

Abstract: The present invention relates to a system for tracking the position of an ultrasonic probe in a body part. It is described to acquire (110) an X-ray image of a portion of a body part within which an ultrasonic probe (20) is positioned. First geometrical positional information of the ultrasonic probe in the portion of the body part is determined (120), utilizing the X-ray image. At least one ultrasonic image comprising a part of a body feature with the ultrasonic probe is acquired (130), the acquiring (130) comprising acquiring (140) an ultrasonic image of the at least one ultrasonic image at a later time than a time of acquisition of the X-ray image. Second geometrical positional information of the ultrasonic probe in the body part at the later time is determined (150), comprising utilizing the first geometrical positional information and the at least one ultrasonic image comprising the part of the body feature.

Abstract: The invention relates to a system (100) for computing a risk, the risk relating to injuring an anatomical structure by a medical device during a medical procedure, the system comprising: a structure unit (110) for obtaining a position of the anatomical structure; a device unit (120) for obtaining a position of the medical device; and a risk unit (130) for computing the risk relating to injuring the anatomical structure, based on the position of the medical device and the position of the anatomical structure. The system (100) may be used for planning a path of a medical device, which path minimizes said risk, or for monitoring said risk during the medical procedure.

Abstract: An image processing apparatus and related method. The apparatus (PP) comprises an input port (IN), a classifier (CLS) and an output port (OUT). The input port is capable of receiving an image of an object acquired at a field of view (FoV) by an imager (USP). The image records a pose of the object corresponding to the imager's field of view (FoV). The classifier (CLA) is configured to use a geometric model of the object to determine, from a collection of pre-defined candidate poses, the pose of the object as recorded in the image. The output port (OUT) is configured to output pose parameters descriptive of the determined pose.

Abstract: The present invention relates to a medical imaging system (10) for planning an implantation of a cardiac implant (42), comprising: a receiving unit (12) for receiving a plurality of three-dimensional (3D) cardiac images (14, 14?) showing different conditions of a heart (32) during a cardiac cycle; a segmentation unit (22) for segmenting within the plurality of 3D cardiac images (14, 14?) a target implant region (38) and a locally adjacent region (40) that could interfere with the cardiac implant (42); a simulation unit (24) for simulating the implantation of the cardiac implant (42) within the target implant region (40) in at least two of the plurality of 3D cardiac images (14, 14?); a collision evaluation unit (26) for evaluating an overlap (46) of the simulated cardiac implant (42) with the segmented locally adjacent region (40) in at least two of the plurality of 3D cardiac images (14, 14?); and a feedback unit (28) for providing feedback information to a user concerning the evaluated overlap (46).

Abstract: The cross-sectional area of a tubular cardiovascular structure to assess blood flow wherein the segmentation of the lumen is applied with a deformable model to the three-dimensional image and fitting the deformable model to the three-dimensional image to obtain a fitted model representing the segmentation of the lumen.

Abstract: An image processing apparatus (16) is disclosed for segmenting a region of interest (15) in a multi-dimensional image data of an object (12). The image processing apparatus comprises an interface for receiving an image data of the object including the region of interest to be segmented. A selection unit selects a deformable model 30 of an anatomical structure corresponding to the object in the image data. A processing unit segments the region of interest by adapting the deformable model on the basis of the image data (xt) and additional information of the object.

Abstract: A system (100) is provided for performing a model-based segmentation of an anatomical structure in a medical image. The system comprises a processor (140) configured for performing a model-based segmentation of the anatomical structure by applying a deformable model to image data (042). Moreover, definition data (220) is provided which defines a geometric relation between a first part and a second part of the deformable model of which a corresponding first part of the anatomical structure is presumed to be better visible in the image data than a corresponding second part of the anatomical structure. The definition data is then used to adjust a fit of the second part of the deformable model. As a result, a better fit of the second part of the deformable model to the second part of the anatomical structure is obtained despite said part being relatively poorly visible in the image data.

Abstract: A system and method are provided for segmentation of an anatomical structure in which a user may interactively specify a limited set of boundary points of the anatomical structure in a view of a medical image. The set of boundary points may, on its own, be considered an insufficient segmentation of the anatomical structure in the medical image, but is rather used to select a segmentation model from a plurality of different segmentation models. The selection is based on a goodness-of-fit measure between the boundary points and each of the segmentation models. For example, a best-fitting model may be selected and used for segmentation of the anatomical structure. It is therefore not needed for the user to delineate the entire anatomical structure, which would be time consuming and ultimately error prone, nor is it needed for a segmentation algorithm to autonomously have to select a segmentation model, which may yield an erroneous selection.

Abstract: An imaging steering apparatus includes sensors and an imaging processor configured for: acquiring, via multiple ones of the sensors and from a current position (322), and current orientation (324), an image of an object of interest; based on a model, segmenting the acquired image; and determining, based on a result of the segmenting, a target position (318), and target orientation (320), with the target position and/or target orientation differing correspondingly from the current position and/or current orientation. An electronic steering parameter effective toward improving the current field of view may be computed, and a user may be provided instructional feedback (144) in navigating an imaging probe toward the improving. A robot can be configured for, automatically and without need for user intervention, imparting force (142) to the probe to move it responsive to the determination.

Abstract: The present invention relates to a medical imaging system (10) for planning an implantation of a cardiac implant (42), comprising: a receiving unit (12) for receiving a plurality of three-dimensional (3D) cardiac images (14, 14?) showing different conditions of a heart (32) during a cardiac cycle; a segmentation unit (22) for segmenting within the plurality of 3D cardiac images (14, 14?) a target implant region (38) and a locally adjacent region (40) that could interfere with the cardiac implant (42); a simulation unit (24) for simulating the implantation of the cardiac implant (42) within the target implant region (40) in at least two of the plurality of 3D cardiac images (14, 14?); a collision evaluation unit (26) for evaluating an overlap (46) of the simulated cardiac implant (42) with the segmented locally adjacent region (40) in at least two of the plurality of 3D cardiac images (14, 14?); and a feedback unit (28) for providing feedback information to a user concerning the evaluated overlap (46).

Abstract: A system for accessing a database of a plurality of image data sets includes an acquisition unit which acquires a query for searching the database for an image data set or an image data subset comprised in an image data set. The query includes at least one medically relevant term which defines a search criteria. A determining unit determines the image data set or the image data subset included in the image data set based on the strength of semantic matches between the at least one medically relevant term and (a) corresponding medical annotation(s) describing the image data set. A retrieving unit retrieves the determined image data set or image data subset from the database.