Systems and methods of fluid or air passageway cross-sectional area determination in an anatomy are disclosed. In some examples, the methods may include generating a model of a structure based on a plurality of images of the structure, the structure comprising at least one fluid or air flow path. In some examples, the methods may also include identifying an obstruction element in the model of the structure, the obstruction element affecting the at least one fluid or air flow path in the model. In some examples, the methods may also include determining a region of the at least one fluid or air flow path for flow analysis.

Systems and methods for determining an image type are disclosed. A user interface includes a visual representation of a breast and a visual representation of a medical imaging system. The visual representation of the medical imaging system includes a visual representation of a detector and either a source or a compression paddle. The visual representation of the medical imaging system may be rotatable and positionable relative to the visual representation of the breast. Based on the relative position and orientation of the visual representation of the medical imaging system relative to the visual representation of the breast, an image type is determined. The image type may be displayed at the user interface.

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.

For personalizing a vessel stent, images associated with a subject generated by various imaging modalities are aggregated. The images are then processed for identifying Regions of Interest (ROIs) and various parameters associated with the ROIs. Further, a model and a composition of the vessel stent to be administered to the subject to alleviate the condition in the vessel are computed. Thereafter, the model is verified for compatibility using information derived from patient stratification parameters. Upon successful verification of the model, a format of the model is generated that can be used directly for fabricating the vessel stent using additive manufacturing processes known in the art.

A control apparatus includes at least one processor that is configured to: acquire an elapsed time from injection of a contrast medium into a subject for which a radiation image is captured by a radiography apparatus, acquire a low-energy image captured by the radiography apparatus by emitting radiation having first energy to the subject into which the contrast medium has been injected, and a high-energy image captured by the radiography apparatus by emitting radiation having second energy higher than the first energy to the subject into which the contrast medium has been injected, generate a difference image showing a difference between the low-energy image and the high-energy image, and identify whether or not to perform re-capturing of the high-energy image of the subject, based on an analysis result about a contrast amount, which is performed on the difference image, and the elapsed time.

A medical image diagnosis apparatus includes processing circuitry. The processing circuitry obtains a first border line and a second border line that define a scanning range of a scan of a subject to obtain a medical image of the subject, by analyzing a subject image obtained by capturing the subject; obtains fixed scanning-range information for imaging the subject; sets the scanning range based on the fixed scanning-range information and either of the first border line and the second border line; and outputs the set scanning range for display on a monitor.

An automated process for data annotation of medical images includes obtaining image data from an imaging sensor, partitioning the image data, identifying an object of interest in the partitioned image data, generating an initial contour with one or more control points with respect to the object of interest, identifying a manual adjustment of one of the control points, automatically adjust a position of at least one other control point within a predetermined range of the manually adjusted control point to a new position, the new position of the at least one other control point and manually adjusted control point defining a new contour, and generating an updated image with the new contour and corresponding control points.

A sensor panel of an electronic cassette includes detection pixels each for outputting a dose signal corresponding to a dose of X-rays, an irradiation start judging section for judging whether or not X-ray irradiation has been started based on the dose signal, and an AEC section for judging whether or not an accumulated dose of X-rays has reached a target dose based on the dose signal. A gain setting section sets a gain of an integration amplifier in the case of using the irradiation start judging section lower than that in the case of using the AEC section.

Described are methods and systems for scanning at least a portion of a patient with a gamma detector mounted on an arm extending towards the patient. One described method includes: obtaining data indicative or coordinates of points on the outer surface of the patient; determining a target position for the gamma detector based on the data indicative, of the coordinates; and causing the gamma detector to detect gamma radiation from the patient when the gamma detector is at the target position.

An X-ray fluoroscopic imaging apparatus which can accurately perform enhancement processing of a device and can also reduce a burden on an operator is provided. An exclusion region E is set so as to surround an obstacle on an X-ray image generated by an image generation unit. A marker extraction unit extracts a marker from a region except for an exclusion region in the X-ray image. An integration unit superimposes a predetermined number of X-ray images on the basis of the position of the marker to generate an integrated image. In this case, detecting obstacle as a marker can be avoided, so the integrated image becomes an image with a stent suitably highlighted. Even in cases where it is difficult to set the region-of-interest so that an obstacle falls out of the range, such as a case in which an obstacle overlaps or is in proximity to a stent, it is easy to set the exclusion region so that the marker is out of range and the obstacle falls within the range. Therefore, the enhancement processing of the stent can be suitably executed according to more various situations.