Disclosed are devices and methods for measuring lung respiration volume including processor means for receiving a detected series of heart beats, measuring variability between a period of successive beats, identifying the start and finish of successive breaths by the maxima and minima in the period, identifying the amplitude of variability of period between successive breaths, and thereby determining a value for a measurement of an extent of lung respiration, and output means for generating the value for the measurement of the extent of lung respiration. The disclosed devices and methods have applications in different medical fields. The disclosed devices can be utilised as wearable devices, wherein the signals are generated and may be processed remotely or locally.

Device and Method for Evaluating Dark Field Images The present invention relates to the use of dark field X-ray images in an ablation treatment of a tumour. By acquiring dark field X-ray images displaying the region of interest targeted in the ablation treatment, information can be derived which allows taking a decision on terminating the ablation treatment. A set of dark field X-ray images is received (101), which is acquired at different time instants and comprises the region of interest. Dark field X-ray images of the set are compared (102), for example by determining difference images between the individual images. If during that comparison a change in the dark field X-ray images is detected over time in the region of interest, then a signal is generated (103) indicating a change has occurred. That signal may indicate that healthy tissue is being affected instead of the tumour and that consequently the ablation treatment should be ended.

According to one embodiment, an X-ray diagnosis apparatus includes an X-ray tube, an X-ray detector, an operating unit, and processing circuitry. The processing circuitry determines a focal-spot size of X-rays in second moving picture imaging after first moving picture imaging, based on an output of the X-ray detector in the first moving picture imaging, and determines a focal-spot size of X-rays in third moving picture imaging after the second moving picture imaging, based on an output of the X-ray detector in the second moving picture imaging.

An image display control system includes a hardware processor that acquires data of a static image of a subject, and data of a dynamic image of the subject including a plurality of frame images, analyzes the dynamic image that is acquired, and creates analysis result data based on an analysis result, and selects, on a basis of a purpose of checking of data, at least one of the data among the data of the static image that is acquired, a part of the data of the dynamic image that is acquired, and the analysis result data that is created.

Embodiments of the disclosure provide methods and systems for disease condition prediction from images of a patient. The system may include a communication interface configured to receive a sequence of images acquired of the patient by an image acquisition device. The sequence of images are acquired at a sequence of prior time points during progression of a disease. The system may include a processor, configured to determine regions of interest based on the sequence of images. The processor applies a progressive condition prediction network to the regions of interest to predict a level of disease progression at a future time point during the progression of the disease. The progressive condition prediction network predicts the level of disease progression based on the regions of interest and disease conditions at the sequence of prior time points. The processor further provides a diagnostic output based on the predicted level of disease progression.

An x-ray imaging apparatus and associated methods are provided to execute multi-pass imaging scans for improved quality and workflow. An imaging scan can be segmented into multiple passes that are faster than the full imaging scan. Data received by an initial scan pass can be utilized early in the workflow and of sufficient quality for treatment setup, including while the another scan pass is executed to generate data needed for higher quality images, which may be needed for treatment planning. In one embodiment, a data acquisition and reconstruction technique is used when the detector is offset in the channel and/or axial direction for a large FOV during multiple passes.

A system and method for generating and displaying contours. In some embodiments, the method includes: generating a respective first axial contour, of a plurality of first axial contours, for each of a first plurality of axial slices, the first axial contours defining a surface of a first volume, a first axial slice of the first plurality of axial slices including a first target point; generating a first sagittal contour in a first sagittal slice through the first target point; generating a respective second axial contour, of a plurality of second axial contours, for each of a second plurality of axial slices including the first axial slice, the second axial contours defining a surface of a second volume, a first slice of the first plurality of axial slices including a second target point; and generating a second sagittal contour in the first sagittal slice.

The present system provides methods and systems of detecting lung abnormalities in chest x-ray images using at least two neural networks.

The present invention is disclosing several methods related to intra-body navigation of radiopaque instrument through natural body cavities. One of the methods is disclosing the pose estimation of the imaging device using multiple images of radiopaque instrument acquired in the different poses of imaging device and previously acquired imaging. The other method allows to resolve the radiopaque instrument localization ambiguity using several approaches, such as radiopaque markers and instrument trajectory tracking.

The present invention relates to an apparatus (10) for presentation of dark field information. It is described to provide (210) an X-ray attenuation image of a region of interest of an object. A dark field X-ray image of the region of interest of the object is also provided (220). A plurality of sub-regions of the region of interest are defined (230) based on the X-ray attenuation image of the region of interest or based on the dark field X-ray image of the region of interest. At least one quantitative value is derived (240) for each of the plurality of sub-regions, wherein the at least one quantitative value for a sub-region comprises data derived from the X-ray attenuation image of the sub-region and data derived from the dark field X-ray image of the sub-region. A plurality of figures of merit are assigned (250) to the plurality of sub-regions, wherein a figure of merit for a sub-region is based on the at least one quantitative value for the sub-region. Data representative of the region of interest is output (260) with figures of merit for the respective sub-regions.