A system includes a head supporting device, an alignment checker and a scanning device. The head supporting device is disposed on a first surface of an examination table for supporting a patient. The head supporting device includes an adjustable headrest platform for supporting a head of the patient. The adjustable headrest platform is configured to be movable along a direction perpendicular to the first surface of the examination table. The alignment checker is disposed on the examination table. The alignment checker is located corresponding to the head of the patient. The alignment checker is configured to verify a location or an orientation of the head of the patient. The scanning device is configured for capturing a scan image corresponding to a mandible of the patient.

A displacement mechanism for placing an optical device onto a patient's eyes and removing the optical device from the patient's eyes when the patient is located in a patient bore of a medical imaging system. The mechanism includes a pneumatic device and a resilient element attached between an inner surface of the patient bore and the optical device wherein the resilient element extends through the pneumatic device and wherein the optical device is spaced apart from the patient's eyes in a first position. A pump inflates the pneumatic device to move the optical device to a second position wherein the optical device is placed on the patient's eyes. Inflation of the pneumatic device extends the resilient element and biases the resilient element to return to the first position. A vent valve vents air from the pneumatic device to return the optical device to the first position.

Systems and methods for estimating quantitative histological features of a subject's tissue based on medical images of the subject are provided. For instance, quantitative histological features of a tissue are estimated by comparing medical images of the subject to a trained model that relates histological features to multiple different medical image contrast types, whether from one medical imaging modality or multiple different medical imaging modalities. In general, the trained model is generated based on medical images of ex vivo samples, in vitro samples, in vivo samples or combinations thereof, and is based on histological features extracted from those samples. A machine learning algorithm, or other suitable learning algorithm, is used to generate the trained model. The trained model is not patient-specific and thus, once generated, can be applied to any number of different individual subjects.

The invention concerns an X-ray imaging apparatus for imaging a skull or a partial area of the skull, which apparatus comprises between the X-ray source and detector a patient support means (17). The patient support means (17) comprise a rear rest structure (170) containing a support part (171) arranged to get positioned at occipital area. The rear rest structure (170) comprises a first elongated supporting structure (172), a first end of which containing said support part (171) and a second end of which extending to different side of the imaging station (18) than where said support part (171) is located.

The present invention relates to a medical method of managing a cerebrovascular insult, the method comprising the following steps in this order: a) placing a patient on a patient support unit; b) positioning a mobile tomographic imaging system in a predetermined position relative to the patient support unit with the patient placed on the patient support unit; c) imaging at least part of the patient's brain using an imaging unit of the tomographic imaging system, the imaging comprising in particular generating an image describing the functioning of the patient's blood vessel system; d) determining, in dependence on the result of the imaging, whether the patient support unit should be rotated relative to the tomographic imaging system with the patient placed on the patient support unit so that the patient is free of the imaging unit in order to conduct a medical intervention on the patient's blood vessel system, or whether the patient support unit may remain in its position relative to the tomographic imaging system with the patient placed on the patient support unit.

When operating a brain stimulation device, it is critical to understand and control the network effects associated with the area being targeted for stimulation. The combined system and methods provided herein provides the operator with a real-time view of the brain network potentially affected by the stimulation. The system and method are capable of increasing the accuracy of diagnostic information. Additionally, disclosed herein are a system and method for combining navigated brain stimulation data and anatomical data with brain connectivity data for an individual.

A method of limiting a X-ray beam, for example in connection with an extraoral radiographic apparatus, includes moving at least two blades of a blade limiting device through one actuator only, so as to produce a X-ray beam having the desired shape, wherein the actuator moves the at least two blades at the same time, in a direct way and in the same direction, even in the event of inversion of the direction of movement of the blades.

A diagnosis support device, which is suitable for comparing different diseases, is provided, along with others. In the diagnosis support device, the input of an MRI brain image of a subject is received, and a shrinkage score, which represents the degree of shrinkage of the brain, is calculated based on the MRI brain image. Subsequently, sites to be compared in the brain are identified. Then, a degree of shrinkage, which represents the degree of shrinkage of each of the identified sites, and a shrinkage ratio, which is the ratio between the degrees of shrinkage of the sites, are calculated, and then compared and displayed.

An X-ray CT apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to detect X-rays that have passed through a subject by using a detector and to acquire projection data on a basis of a detection result. The processing circuitry is configured to obtain position information of a highly X-ray absorbent member in the body of the subject. The processing circuitry is configured to derive information about transmission paths of the X-rays in accordance with a processing effect of an artifact reducing process performed on the highly X-ray absorbent member, on the basis of the position information of the highly X-ray absorbent member.

A method of adaptive image acquisition includes obtaining a guide image of patient tissue; receiving an intraoperative image of a portion of the patient tissue from an imaging instrument; and storing the intraoperative image. The method includes comparing the intraoperative image with the guide image to identify at least one region of the guide image matching the intraoperative image; and determining whether the at least one region identified meets at least one accuracy criterion. When the at least one region meets the at least one accuracy criterion, the guide image is rendered with an indication of the at least one region on a display. When the at least one region does not meet the at least one accuracy criterion, the method includes receiving and storing a further intraoperative image; combining the further intraoperative image with the intraoperative image; and repeating the comparing and determining.