A 3D X-ray device including an X-ray detector, an X-ray source and a computer. The X-ray detector and the X-ray source are moved about an object volume to be recorded on movement paths with a rotation of at least 185°. A number of X-ray projection images are recorded from different directions. X-rays irradiate the object volume in one of the irradiation directions and are captured by the detector. A 3D X-ray image of the object volume is calculated from the recorded X-ray projection images by a reconstruction method. The X-ray detector is arranged asymmetrically relative to a central axis through a center of rotation of the 3D X-ray device. A first fan beam and an opposite second fan beam rotated 180° form an overlap region. At least one X-ray filter is placed between the X-ray source and the object volume for attenuating an X-ray dose inside the overlap region.

An image processing device includes: an image data acquisition unit for acquiring SPECT image data of a brain; a brain-region ROI definition unit for defining a brain-region ROI in the SPECT image; a striatum ROI definition unit for defining a striatum ROI in the SPECT image; and a threshold determination unit for, based on counts in the SPECT image's background which is the brain-region ROI except the striatum ROI, determining a threshold for distinguishing ventricles and sulci in the SPECT image; a region distinction unit for distinguishing between a region whose number of counts is smaller than or equal to the threshold and a region whose number of counts is larger than the threshold.

Provided is an image processing device including a matching unit that performs matching processing between a predetermined pattern on a surface of a 3D model of a biological tissue including an operating site generated on the basis of a preoperative diagnosis image and a predetermined pattern on a surface of the biological tissue included in a captured image during surgery, a shift amount estimation unit that estimates an amount of deformation from a preoperative state of the biological tissue on the basis of a result of the matching processing and information regarding a three-dimensional position of a photographing region which is a region photographed during surgery on the surface of the biological tissue, and a 3D model update unit that updates the 3D model generated before surgery on the basis of the estimated amount of deformation of the biological tissue.

A method and system to treat headaches in a patient by performing surgery via at least one nostril. Data from a computer tomography scan of at least one nasal cavity and one sinus cavity of the patient and a completed headache questionnaire are matched to at least one nasal/sinus surgery plan to operate on at least one of: a nasal septum, at least one sinus cavity and at least one turbinate of the patient. The surgery plan is executed by installing a topical local anesthetic and decongestant onto the at least one turbinate forming an anesthetized decongested nasal cavity; infusing an anesthetic into the anesthetized decongested nasal cavity of the patient; dilating the at least one sinus ostium; incising at least one of: a first mucosal flap or a second mucosal flap of the nasal septum of the anesthetized decongested nasal cavity to expose deviated septal cartilage and bone; removing deviated cartilage and/or bone of the nasal septum; fracturing the at least one turbinate laterally away from the nasal septum; inspecting between the first mucosal flap and the second mucosal flap for a residual broken bone, a residual segment of cartilage or combinations thereof, surgically closing the first mucosal flap and the second mucosal flap of the nasal septum; and suctioning unwanted matter from the anesthetized decongested nasal cavity. An interactive system guides the surgery and provides a record thereof.

Methods and systems are provided for adaptive scan control. In one embodiment, a method includes, upon an injection of a contrast agent, processing acquired projection data of a monitoring area of a subject to measure a contrast signal of the contrast agent, estimating two or more target times of the contrast agent at the monitoring area of the subject based on the contrast signal, and carrying out a contrast scan that includes a two or more acquisitions each performed at a respective target time.

A method for automated detection of landmarks from 3D medical image data using deep learning according to the present inventive concept, the method includes receiving a 3D volume medical image, generating a 2D intensity value projection image based on the 3D volume medical image, automatically detecting an initial anatomical landmark using a first convolutional neural network based on the 2D intensity value projection image, generating a 3D volume area of interest based on the initial anatomical landmark and automatically detecting a detailed anatomical landmark using a second convolutional neural network different from the first convolutional neural network based on the 3D volume area of interest.

Systems and methods for detecting complex networks in MRI image data in accordance with embodiments of the invention are illustrated. One embodiment includes an image processing system, including a processor, a display device connected to the processor, an image capture device connected to the processor, and a memory connected to the processor, the memory containing an image processing application, wherein the image processing application directs the processor to obtain a time-series sequence of image data from the image capture device, identify complex networks within the time-series sequence of image data, and provide the identified complex networks using the display device.

A medical or dental imaging system for generating an image of a part of the head, comprising: an x-ray source and an x-ray detector which move around the head to generate x-ray images at different positions, a tracking device which provides sensor data indicative of any movement of the head during the acquisition of the x-ray images and a computer which generates tracking data based on the sensor data and calculates an x-ray image of the head part based on the x-ray images and on the tracking data to compensate for any movement of the head part during the acquisition of the x-ray images, wherein the tracking device comprises at least one camera and an attachment device for detachable attachment of the camera to the patient.

A method for visualizing and targeting anatomical structures inside a patient utilizing a handheld screen device may include grasping the handheld screen device and manipulating a position of the handheld screen device relative to the patient. The handheld screen device may include a camera and a display. The method may also include orienting the camera on the handheld screen device relative to an anatomical feature of the patient by manipulating the position of the handheld screen device relative to the patient, capturing first image data of light reflecting from a surface of the anatomical feature with the camera on the handheld screen device, and comparing the first image data with a pre-operative 3-D image of the patient to determine a location of an anatomical structure located inside the patient and positioned relative to the anatomical feature of the patient.

An imaging apparatus for use with an imaging device in order to image a subject. The imaging device includes an annular gantry having an opening and a table to accommodate the subject or a portion thereof for imaging. The imaging apparatus includes a platform and a positioning device. The imaging device is mounted to the platform. The annular gantry is in a fixed position relative to the platform. The table is horizontally displaceable relative to the annular gantry. The positioning device supports the platform and is configured to horizontally displace the platform relative to a supporting surface for the subject. The positioning device is configured to position the platform with the imaging device in at least one operational state in such a way that, during a relative movement of the table with respect to the annular gantry, the table remains stationary relative to the supporting surface.