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 radiographic imaging system includes a radiographic detector programmed to display the patient identifying information in human readable form and to access information about the patient stored in locations accessible through a network. Embodiments of methods and/or apparatus for a radiographic imaging system can include a radiographic detector including an image receptor to receive incident radiation and generate uncorrected electronic image data; network accessible storage and/or processor to generate calibration-corrected image data from the uncorrected electronic image data provided from the detector. The calibration-corrected image data can be further processed by the network accessible processor before transmitting a corrected image (e.g., DICOM image) back to the radiographic imaging system.

A medical imaging system includes a scanner, a control unit and at least one camera. A method for performing a medical workflow comprising a diagnostic scan of a body part of a patient with the medical imaging system includes: automatically monitoring the status of at least some of the system's components and transferring said status to the control unit; acquiring images of the patient with the at least one camera and interpreting the images by the control unit; determining scan parameters for the diagnostic scan based on the at least one aspect of the patient's condition or the status of the system's components; automatically determining a suitable amount of a contrast medium for the diagnostic scan or an administration time of the contrast medium with respect to the scan; and transferring the determined scan parameters from the control unit to the scanner for performing the diagnostic scan.

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.

Provided is an X ray image processing method including the following. One of computing modules stored in an X ray device is activated, in which the one of the computing modules corresponds to a measurement area. The measurement area corresponding to the one of the computing modules is measured by an image measurement module, and a measurement signal is produced. The measurement signal is transmitted to a computing unit by the image measurement module. A measurement image is computed by the computing unit according to the measurement signal, and is stored in a first storage unit in the X ray device. The one of the computing modules is written to the computing unit. The measurement image is transmitted to the computing unit by the first storage unit. The measurement image is analyzed by the computing unit using the one of the computing modules, and an analysis image is generated.

The present disclosure is related to automatic collimator installation systems and methods. An automatic collimator installation method may include obtaining an installation instruction for installing a target collimator into a medical scanner; identifying, from a plurality of collimators stored in a collimator storage device, the target collimator based on the installation instruction; using a cart to transport the target collimator from the collimator storage device to the medical scanner; and automatically installing, using the cart, the target collimator into the medical scanner.

A radiation imaging apparatus including: a first scintillator layer configured to convert a radiation (R) which has entered the first scintillator layer into light; a second scintillator layer configured to convert a radiation transmitted through the first scintillator layer into light; a fiber optic plate (FOP) provided between the first scintillator layer and the second scintillator layer; and an imaging portion configured to convert the light generated in the first scintillator layer and the light generated in the second scintillator layer into an electric signal.

In a system for the administration of a group of imaging devices which are equipped with a corresponding device hosts, device software and a configuration protocol are executably stored on the device host. The system can include a distributed database system which configured to receive configuration protocols from the device host and to store modified configuration protocols for the respective device host, and to distribute modified configuration protocols. The received and/or stored configuration protocols are made available via a central write access. The system can include an administrator having a memory, a user interface and a processor for communicating with the distributed database system. Configuration protocols can be modified via the user interface and sent to the distributed database system for storage and/or distribution to at least one selected imaging device. These aspects are also applicable to a method for the administration of imaging devices.

The medical document display control apparatus includes a reception unit that receives observation information on a subject, an acquisition unit that acquires relation information on an analysis result obtained by immediately analyzing the observation information received by the reception unit, and a display control unit that immediately displays the relation information acquired by the acquisition unit on a display unit.

Differences of electromagnetic (EM) properties between healthy and cancerous tissues allow detection of abnormal conditions occurring in a tissue of an animal, for example, intra-operative cancer detection. By using a time-varying EM field, electrical eddy currents are generated in the tissue sample, and assessed using phase-sensitive detection. In some aspects, a change in phase shift between the voltage in a receiver coil and the voltage in a driver coil provide a direct and immediate indication of differences in EM properties of specimens.