An image synthesis unit of an X-ray imaging apparatus is configured to correct a synthesis target image or a transparent image based on movement information of a feature point and movement information of a pixel and generate a synthesized image by synthesizing a corrected synthesis target image and a transparent image or synthesizing a synthesis target image and a corrected transparent image.

A method for supporting a user, a corresponding computer program product, a corresponding data medium, and a corresponding imaging system are provided. According to the method, a three-dimensional (3D) data set depicting a target object is provided, and at least one two-dimensional (2D) image of the target object is automatically acquired. The 2D image and the 3D data set are automatically registered with each other by a 2D/3D registration. A spatial direction in which the 2D/3D registration exhibits greatest uncertainty is automatically specified. A signal for aligning an instrument that is provided for the purpose of examining the target object is then automatically generated and output as a function of the specified spatial direction in order to support the user.

Systems and methods are disclosed for providing a cardiovascular score for a patient. A method includes receiving, using at least one computer system, patient-specific data regarding a geometry of multiple coronary arteries of the patient; and creating, using at least one computer system, a three-dimensional model representing at least portions of the multiple coronary arteries based on the patient-specific data. The method also includes evaluating, using at least one computer system, multiple characteristics of at least some of the coronary arteries represented by the model; and generating, using at least one computer system, the cardiovascular score based on the evaluation of the multiple characteristics. Another method includes generating the cardiovascular score based on evaluated multiple characteristics for portions of the coronary arteries having fractional flow reserve values of at least a predetermined threshold value.

A computing system (118) includes a computer readable storage medium (122) with computer executable instructions (124), including a biophysical simulator (126), and a reference location (128), and a processor (120) configured to the biophysical simulator and simulate a reference FFR value at a predetermined location along a segmented coronary vessel indicated by the reference location. A computer readable storage medium encoded with computer readable instructions, which, when executed by a processor of a computing system, causes the processor to simulate a reference FFR value at a predetermined location along a segmented coronary vessel indicated by a predetermined reference location. A method including simulating a reference FFR value at a predetermined location along a segmented coronary vessel indicated by a predetermined reference location.

Devices, systems, and methods for catheterization through angionavigation, cardionavigation, or brain navigation to diagnose or treat diseased areas through direct imaging using tracking, such as radiofrequency, infrared, or ultrasound tracking, of the catheter through the patient's vascular anatomy. A steerable catheter with six degrees of freedom having at least a camera and fiber optic bundle, and one or more active or passive electromagnetic tracking sensors located on the catheter is guided through the vascular system under direct imaging. The direct imaging can be assisted with at least one of MRA imaging, CT angiography imaging, or 3DRA imaging as the roadmap acquired prior to or during 3D stereoangiovision. The system comprises RF transceivers to provide positioning information from the sensors, a processor executing navigation software to fuse the tracking information from the tracking sensors with the imaging roadmap, and a display to display the location of the catheter on the roadmap.

A collimator for a detector is disclosed. The collimator comprises: a bottom plate provided with imaging through holes distributed in an array, each of the imaging through holes comprising a first hole segment and a second hole segment, the transverse size of the first hole segment gradually decreasing in a direction from a free end to the second hole segment, and the transverse size of the second hole segment gradually decreasing in a direction from the free end to the first hole segment; a shielding case formed on the bottom plate; and a top plate disposed in the shielding case and closing at least a part of an opening of the shielding case, the top plate being provided with shielding through holes distributed in an array, and the imaging through holes being in one-to-one correspondence with the shielding through holes.

The present invention relates to a radiation source orientation technology. The invention discloses a method for optimizing the orientation performance of radiation source orientation system, which comprises the following steps: establishing a radiation source orientation matrix; obtaining the non-zero singular value of the orientation matrix; classifying orientation noise that affects the radiation source orientation system according to the distribution characteristic of noise energy; determining the optimal orientation matrix of the radiation source orientation system according to the minimum non-zero singular value σ.sub.min of the orientation matrix and its number of array elements m; determining the optimal orientation array according to the non-zero singular value of orientation matrix considering the distribution of different noise energy. The invention lays a foundation for the optimal design of a non-planar array in a radiation source orientation system. The optimal orientation matrix and array provided by the invention can be used to effectively improve the orientation accuracy of the radiation source orientation system and the resistance of the orientation system to interference.

The present disclosure relates to a method for scanning a patient in an imaging system. The imaging system may include one or more cameras directed at the patient. The method may include obtaining a position of each of the camera(s) relative to the imaging system. The method may also include obtain image data of the patient captured by the camera(s), wherein the image data may correspond to a first view with respect to the patient. The method may further include generating projection image data of the patient based on the image data and the position of each of the camera(s) relative to the imaging system, wherein the projection image data may correspond to a second view with respect to the patient different from the first view. The method may further include generating control information for scanning the patient based on the projection image data of the patient.

Emission imaging data are reconstructed to generate a low dose reconstructed image. Standardized uptake value (SUV) conversion (30) is applied to convert the low dose reconstructed image to a low dose SUV image. A neural network (46, 48) is applied to the low dose SUV image to generate an estimated full dose SUV image. Prior to applying the neural network the low dose reconstructed image or the low dose SUV image is filtered using a low pass filter (32). The neural network is trained on a set of training low dose SUV images and corresponding training full dose SUV images to transform the training low dose SUV images to match the corresponding training full dose SUV images, using a loss function having a mean square error loss component (34) and a loss component (36) that penalizes loss of image texture and/or a loss component (38) that promotes edge preservation.

Disclosed are systems, devices, and methods for registering a luminal network to a 3D model of the luminal network. An example method comprises generating a 3D model of a luminal network, identifying a target within the 3D model, determining locations of a plurality of carinas in the luminal network proximate the target, displaying guidance for navigating a location sensor within the luminal network, tracking the location of the location sensor, comparing the tracked locations of the location sensor and the portions of the 3D model representative of open space, displaying guidance for navigating the location sensor a predetermined distance into each lumen originating at the plurality of carinas proximate the target, tracking the location of the location sensor while the location sensor is navigated into each lumen, and updating the registration of the 3D model with the luminal network based on the tracked locations of the location sensor.