A system (1) and a corresponding method enable an enhanced roadmapping visualization without unnecessary device-footprints. The system (1) includes an x-ray imaging device (3) for acquiring x-ray images and a calculation unit (5). The x-ray imaging device (3) is adapted for acquiring a first x-ray image (21) with an interventional device (17) present in the vessels (19) while no contrast agent is present in the vessels (19) and a second x-ray image (23) with the interventional device (17) present in the vessels (19) while contrast agent is present in the vessels (19). The calculation unit is adapted for creating a roadmap image (27) by subtracting the first x-ray image (21) from the second x-ray image (23) and automatically minimizing the visibility of the interventional device (17) in the roadmap image (27). A display unit (7) is adapted to display the roadmap image (27) or an overlay of a current fluoroscopy image (31) with the roadmap image (27).

According to one embodiment, a medical image processing apparatus includes processing circuitry. The processing circuitry specifies, before position alignment between a first X-ray image and a second X-ray image which is acquired with a device inserted, a device area candidate in the second X-ray image as a candidate of an area where the device appears. The processing circuitry performs the position alignment using first processing of removing the specified device area candidate or second processing of reducing a contribution of the specified device area candidate.

In a case in which an imaging mode continuously acquiring a plurality of energy subtraction images is performed, a radiation source control unit of a control device performs radiation source control for performing a one-shot imaging operation, in which only one of first radiation and second radiation is emitted, at least once for one two-shot imaging operation in which the first radiation and the second radiation are continuously emitted. In a case in which the imaging mode is performed, a detector control unit performs detector control to direct a radiation detector to output a first radiographic image based on the first radiation and a second radiographic image based on the second radiation.

A method for radiographic imaging of a body cavity includes imaging the body cavity using computerized tomography (CT) to form a CT image, registering a tracking system with the CT image, inserting into the body cavity a guidewire, including a position sensor, operating in the tracking system, attached to a distal end of the guidewire, in response to signals from the position sensor acquired by the tracking system, displaying a position of the distal end of the guidewire on the CT image. The method further includes assigning voxels within a predefined imaging volume relative to the distal end and having a radiodensity less than a predetermined threshold to have a uniform radiodensity of a predefined default value, incorporating the voxels with the assigned predefined default value into the CT image so as to form an updated CT image, and displaying the updated CT image.

A method for geometric calibration of a radiography apparatus disposes at least one radio-opaque marker in the field of view of the radiography apparatus. A series of tomosynthesis projection images of patient anatomy is acquired from the detector with the x-ray source at different positions along a scan path. For at least three projection images showing the position of the radio-opaque marker, the spatial and angular geometry of the x-ray source and detector are calculated according to the positions of the marker. A tomosynthesis image is reconstructed according to the calculated geometry. A rendering of the reconstructed image is displayed.

A method for training a function of an X-ray system that has a positioning mechanism such as a C-arm, a detector, and, in a beam path in front of the detector, an anti-scatter grid. Positioning of the detector at a large number of different positions occurs. The positioning mechanism is deflected and/or distorted. Recording of at least one X-ray photograph in each of the positions then takes place, and the method further includes machine learning of artifacts generated by the anti-scatter grid from all X-ray photographs for the function.

Tissue sample management systems include a central network, a medical professional system, and a pathology lab system for processing a tissue sample in a matrix having a sectionable code. At least the pathology lab system includes at least one imaging device, and the central network is configured to process images from the at least one imaging device to identify and record at least the sectionable code of the matrix. Methods for tissue sample processing include providing a matrix having a sectionable code and measurement marks, the matrix for receiving a tissue sample, and identifying the sectionable code from an image taken of the tissue sample in the matrix. Tissue sample-receiving matrices include a sectionable alphanumeric code or bar code, a tissue sample receptacle, and measurement marks formed along a sidewall thereof. The matrices include one or more proteins and one or more lipids.

The radiographic system including a plurality of radiation detection apparatuses which detect radial rays and a combining processor which generates a long-size image by combining a plurality of radiation images obtained from the radiation detection apparatuses further includes an image correction unit which corrects the defective region in which the radiation detection apparatuses overlap with each other in the long-size image.

There is provided a method for predicting risk of osteoporotic fracture, comprising: receiving imaging data of a computed tomography (CT) scan of a body of a patient containing at least a bone portion, the CT scan being performed with settings selected for imaging of non-osteoporosis related pathology; processing the imaging data to identify the bone portion; automatically extracting features based on the imaging data denoting the identified bone portion; computing an osteoporotic fracture predictive factor indicative of the risk of developing at least one osteoporotic fracture in the patient, or the risk of the patient having at least one severe osteoporotic fracture, based on the extracted features, the predictive factor calculated by applying a trained osteoporotic fracture classifier to the extracted features, the osteoporotic fracture classifier trained from data from a plurality of CT scans performed with settings selected for imaging non-osteoporosis related pathology; and providing the predictive factor.

The radiographic system including a plurality of radiation detection apparatuses which detect radial rays and a combining processor which generates a long-size image by combining a plurality of radiation images obtained from the radiation detection apparatuses further includes an image correction unit which corrects the defective region in which the radiation detection apparatuses overlap with each other in the long-size image.