The present disclosure relates to systems and methods for taking X-ray images. The method may include obtaining reference data associated with an object, the reference data including at least one of height data or historical data. The method may also include determining at least one of a start point or an end point of an imaging region associated with the object based on the reference data. The method may further include causing to take an X-ray image of the imaging region based on at least one of the start point or the end point.

The disclosure relates to a method for creating a three-dimensional digital subtraction angiography image of a vascular system of a patient. The method includes: providing a first reconstructed three-dimensional filling image which was acquired during at least partial contrast agent filling of the vascular system with a first contrast agent; providing a second reconstructed three-dimensional filling image which was acquired during at least partial contrast agent filling of the vascular system with a second contrast agent; and subtracting the first three-dimensional filling image from the second three-dimensional filling image so that a three-dimensional subtraction angiography image is produced, wherein the first contrast agent and the second contrast agent differ in that one of the two causes increased X-ray absorption and the other causes reduced X-ray absorption relative to a vascular system without contrast agent.

According to some implementations of the present disclosure, a system for identifying individuals at risk for PDAC includes a CT scanner, a memory, and a control system. The CT scanner is configured to generate CT image data associated with a pancreas of a patient. The memory stores machine-readable instructions. The control system includes one or more processors configured to execute the machine-readable instructions. The CT image data associated with the pancreas of the patient is received. The received CT image data is processed to output a set of CT image features. The set of CT image features is received as an input to a machine learning PDAC prediction algorithm. An indication of whether the patient is at high risk for PDAC is determined as an output of the machine learning PDAC prediction algorithm.

A surgical access assembly and method of use is disclosed. The surgical access assembly comprises an outer sheath and an obturator. The outer sheath and obturator are configured to be delivered to an area of interest within the brain. Either the outer sheath or the obturator may be configured to operate with a navigational system to track the location of either within the brain. Once positioned at a desired location, the obturator is removed, leaving a distal end of the outer sheath adjacent an area of interest, and creating a working corridor. Interrogation of the area of interest may be performed to evaluate a disorder and/or abnormality, as well as evaluate treatment regimes. Interventional devices may also be introduced to the area of interest, as well as a variety of treatments.

The present invention relates to a method for registration of 2D images of a region of interest of a patient, wherein the images are acquired using an X-ray imaging system and an imaging kit (1) comprising abase (2) and a registration phantom (3), wherein the method comprises the following steps: receiving a first (respectively second) set of 2D X-ray images of at least one first (respectively second) portion of a region of interest, said first and second sets of images comprising each at least two 2D images containing each at least one detectable radiopaque fiducial of the registration phantom (3); registering the first (respectively second) set of images in the coordinate system of the registration phantom in the first (respectively second) phantom fixation position; registering the first and second sets of 2D images in the coordinate system of the base.

An X-ray image processing apparatus comprising: a first obtaining unit configured to obtain a first X-ray image including an object; a second obtaining unit configured to obtain a first measured value associated with an X-ray condition of the first X-ray image, a second X-ray image that does not include the object, and a second measured value associated with an X-ray condition of the second X-ray image; a gain correction unit configured to correct the first X-ray image based on the first measured value, the second X-ray image, and the second measured value; and an image generation unit configured to generate an evaluation image for evaluating a state of the object based on a corrected image that is the first X-ray image corrected by the gain correction unit.

The present disclosure provides a system and method for couch position calibration. The method may include obtaining one or more first images of a couch at one or more first locations in a first device, each of the one or more first images corresponding to one of the one or more first locations, wherein the couch includes a mark, and the mark intersects a first reference plane of the first device at a plurality of first points of the mark; determining, in each of the one or more first images, a first position of a representation of each of the plurality of first points; obtaining correlation information between the first position and actual position of each of the plurality of first points; and determining one or more calibration images based on the correlation information and the one or more first images.

A computer-implemented method to determine placement of transducers on a subject's body for applying tumor treating fields, the method including: determining a pair of locations on the subject's body for placement of a pair of transducer arrays based on image data; receiving a detected concentration of a target molecule within a target region of the subject's body from a molecular imaging apparatus, the concentration of the target molecule being detected after tumor treating fields are induced between the pair of transducer arrays; determining, based on the detected concentration of the target molecule, how the tumor treating fields were distributed in the target region; determining a recommendation of a second pair of locations on the subject's body for placement of the pair of transducer arrays based on the distribution of the tumor treating fields in the target region; and outputting the recommendation of the second pair of locations to a user.

A system and method that acquire (i) at least a reference image including one of a preoperative image of a surgical site with skeletal and articulating bones and a contralateral image on an opposite side of the patient from the surgical site, and (ii) at least an intraoperative image of the site after an implant has been affixed to the articulating bone. The system preferably generates at least one reference stationary point on at least the skeletal bone in the reference image and at least one intraoperative stationary point on at least the skeletal bone in the intraoperative image. The location of the implant is identified in the intraoperative image, preferably including the position of first and second centers of rotation, which are digitally represented and copied into the reference image to analyze at least one of offset and length differential.

For calibration of internal dose in nuclear imaging, the dose model used for estimating internal dose in a patient is calibrated. One or more values of the dose model (e.g., a physics simulation, dose kernels, or a transport model) are set based on measured dose. The dose may be measured relative to specific tissues and/or isotopes, providing for tracer and tissue specific calibration. For example, dose from the tracer to be injected into the patient is estimated from emissions as well as measured by a dosimeter in a tissue mimicking tissue mimicking object. These doses are used to calibrate the dose model, which calibrated dose model is then used to determine internal dose for the patient.