At least one example embodiment relates to a computer-implemented method for providing stroke information, the method comprising receiving computed tomography imaging data of an examination area of a patient, the examination area of the patient comprising a plurality of brain regions, at least one brain region of the plurality of brain regions being affected by a stroke, receiving brain atlas data, generating registered imaging data based on the computed tomography imaging data and the brain atlas data, the registered imaging data being registered to the brain atlas data, generating the stroke information regarding the stroke based on a set of algorithms and the registered imaging data, and providing the stroke information.

A diagnostic support program that is possible to display a movement of an organ is provided.

A diagnostic support program that analyzes images of an organ of a human and displays analysis results, the program causing a computer to execute a process comprising: processing of acquiring a plurality of frame images, processing of calculating a cyclic change that characterizes a state of an organ between each of the frame images, processing of Fourier-transforming the cyclic change that characterizes the state of the organ, processing of extracting a spectrum in a fixed band including a spectrum corresponding to a frequency of a movement of an organ out of a spectrum obtained after the Fourier-transforming, processing of performing inverse Fourier transform on the spectrum extracted from the fixed band, and processing of outputting each of the images after performing the inverse Fourier transform, is provided.

A high contrast instrument, such as a radiopaque portion, can be captured and/or viewed in an image that is acquired with an imaging system, such as with a fluoroscopic imaging system. A statistical model can be used to assist in identifying a possible or probable location of a target. A user may move the instrument coil to the statistically probable location of the target to, for example, perform a procedure or carry out a task.

In accordance with one or more embodiments herein, a system for creating a decision support material indicating damage to at least a part of an anatomical joint of a patient, wherein the created decision support material comprises one or more damage images, is provided. The system comprises a storage media and at least one processor, wherein the at least one processor is configured to i) receive a series of radiology images of the at least part of the anatomical joint from the storage media; ii) obtain a three-dimensional image representation of the at least part of the anatomical joint which is based on at least a part of said series of radiology images, by generating said three-dimensional image representation in an image segmentation process based on said series of radiology images, or receiving said three-dimensional image representation from a storage media; iii) identify tissue parts of the anatomical joint in at least one of at least a part of said series of radiology images and/or the three-dimensional image representation using image analysis; iv) determine damage to the identified tissue parts in the anatomical joint by analyzing at least one of at least a part of said series of radiology images and/or the three-dimensional image representation of the at least part of the anatomical joint; v) determine suitable sizes and suitable implanting positions for one or more graft plugs based on the determined damage; vi) mark damage to the anatomical joint and suitable sizes and implanting positions for the one or more graft plugs in the obtained three-dimensional image representation of the anatomical joint; and vii) generate a decision support material, where the determined damage to the at least part of the anatomical joint and the suitable sizes and implanting positions for the one or more graft plugs are marked in at least one of the one or more damage images of the decision support material, and at least one of the one or more damage images is generated based on the obtained three-dimensional image representation of the at least part of the anatomical joint.

Method for assessing a position of a patient with respect to an automatic exposure control chamber, AEC chamber (11, 12), for a medical exam, wherein a patient is positioned between an X-ray source and the AEC chamber (11, 12); comprising the steps:—acquiring (S10) an X-ray image (32) of at least part of the patient, wherein the AEC chamber is configured for detecting a radiation dose of the X-ray source;—determining (S20), by the control unit, a position of the AEC chamber (11, 12) with respect to the patient from the acquired X-ray image (32);—determining (S30), by the control unit, an exam protocol performed on the patient dependent on the medical exam to be performed on the patient and determining, by the control unit, an ideal position of the AEC chamber (11, 12) with respect to the patient dependent on the exam protocol, wherein the ideal position relates to a position of the patient relative to the AEC chamber (11, 12), in which the detected radiation dose is reliable for the medical exam; and—determining (S40), by the control unit, a position deviation of the position of the AEC chamber from the ideal position of the AEC chambers; characterized in that determining, by the control unit, the position deviation comprises the steps:—segmenting at least an anatomical structure (21, 22) of the patient in the X-ray image (32) thereby determining at least one segmented anatomical structure (21, 22); and—determining the position deviation dependent on the at least one segmented anatomical structure (21, 22);—determining an overlap of the at least one segmented anatomical structure (21, 22) with the AEC chamber (11, 12); and—determining the position deviation dependent on the determined overlap.

Disclosed herein is a dual energy X-ray imaging apparatus. The dual energy X-ray imaging apparatus includes: an X-ray generator configured to generate a predetermined dose of X-rays; an X-ray detector configured to detect the X-rays received from the X-ray generator; an X-ray filter located between the X-ray generator and the X-ray detector, and configured to filter out part of the generated X-rays so that X-rays of two dose types reach the X-ray detector; and a medical image processing unit configured to generate medical images corresponding to the two dose types recognized by the X-ray detector.

The invention is directed to a system (100) for image processing, which is capable of improving an usability of an imaging device during an intervention.

A medical imaging system includes an X-ray source for transmitting X-rays through a subject and a detector for receiving the X-ray energy of the X-rays after having passed through the subject. The system also includes a processing system which is programmed to generate a pre-shot image of the subject using low energy X-ray intensity from the X-ray source and to determine a plurality of acquisition parameters for a main scan of the subject based on the pre-shot image. The processing system is also programmed to determine a saturation time of the detector for the corresponding acquisition parameters based on detector calibration data and to determine a number of time frames required to reach the targeted dose based on the saturation time. The processing system is further programmed to apply an X-ray dosage level of the subject using the X-ray source based on the number of time frames and to generate the image of the subject based on the detected X-ray energy at the X-ray detector for the applied X-ray dosage level.

The medical image processing apparatus includes a first processor, a second processor that executes image processing on a medical image in response to an instruction from the first processor, and a battery that supplies power to the first processor and the second processor. The second processor executes the image processing with a selected processing method among a plurality of processing methods that are different in amount of power consumption.

In accordance with embodiments of this disclosure, a computational simulation platform for assessing impact of coronary artery bypass grafting comprises a computer-implemented method that includes: generating patient-specific three-dimensional (3D) reconstructions of path lines for a patient's heart, ascending aorta, aortic arch, descending thoracic aorta, great vessels, coronary arteries and their major branches based on noninvasive imaging; performing virtual CABG by modifying the patient-specific 3D reconstructions to computationally add path lines for one or more bypass grafts; performing post-virtual CABG computational fluid dynamic (CFD) studies under computational resting and stress conditions; and assessing hemodynamic impact of virtual CABG on the resting and hyperemic flow of diseased native coronary arteries and virtual bypass grafts.