The disclosure relates to a computer-implemented method for analyzing an image sequence of a periodic physiological activity, a system, and a medium. The method includes receiving the image sequence from an imaging device, and the image sequence has a plurality of images. The method further includes identifying at least one feature portion in a selected image, which moves responsive to the periodic physiological activity. The method also includes detecting, by a processor, the corresponding feature portions in other images of the image sequence and determining, by the processor, a phase of a the selected image in the image sequence based on the motion of the feature portion.

Methods and systems are provided for generating a diagnostic cardiac image using a CT system without ECG gating techniques. In one example, a method for an imaging system includes determining a scanning duration for scanning a heart of a patient with the imaging system based on a heart rate of the patient, scanning the patient with the imaging system for the scanning duration, the scanning commenced independent of a current phase of a cardiac cycle of the heart of the patient, and reconstructing an image from data acquired during the scanning.

Methods and systems are provided for dynamically visualizing an object of interest that includes part of the vasculature of a patient, which employ a 3D model of the object to generate at least one roadmap that includes information that characterizes properties of the object (such as centerlines, contours, and an image mask. Reference location(s) corresponding to the roadmap(s) are determined for an interventional device used to treat the object. In an online phase, non-contrast-enhanced x-ray image data of the object are obtained and processed to determine location of the interventional device in the image data, and a particular roadmap is selected or accessed. The reference location corresponding to the particular roadmap and the determined location of interventional device are used to transform the particular roadmap. A visual representation of the transformed roadmap is overlaid on the image data for display.

An array of force sensors for determining a position of an object, detecting motion of object, and tracking motion of objects in 3D space are described herein. In particular, an array of force sensors can be used to monitor anatomical motion during medical procedures, such as head motion during cranial radiosurgery, to maintain a desired alignment with the anatomical feature. Alerts can be posted to the medical machine operator and the radiosurgery system or scanner can make compensatory adjustments to maintain the desired alignment either after suspension of treatment or dynamically during treatment. Methods of detecting a position, movement or tracking motion of an anatomical feature are also provided herein.

An X-ray diagnosis apparatus according to the present embodiment comprises: an imager configured to image by irradiating X-ray to a subject to acquire a captured image by X-ray imaging and a fluoroscopic image by fluoroscope imaging; and processing circuitry configured to acquire imaging related information obtained within a certain period of time before or after the X-ray imaging, and store in a memory the fluoroscopic image captured at least one of before or after the X-ray imaging based on the imaging related information.

A system (SYS) and related method for motion artifact reduction in X-ray imaging. The system (SYS) comprises an input interface (IN) for receiving a first input image (i1, I1) of an object (PAT) reconstructed from a first set of projection data, and a second input image (i2, I2) of the object reconstructed from a second set of projection data. The second set is smaller than the first set. A motion analyzer (MA) establishes an estimate for motion corruption based on the two input images. A selective combiner (Σ) computes an image value for an enhanced image (I1+I2, i1+i2), based on the motion estimate and on image information in the first input image (i1, I1) and/or the second input image (i2, I2).

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.

The disclosure relates to a method for controlling a medical X-ray device. The method includes: acquiring at least one X-ray image of a region of examination of an object undergoing examination by the medical X-ray device, wherein a medical object is arranged in the region of examination; generating an object image based on the at least one X-ray image; and establishing a determinability parameter, for assessing the determinability of the medical object based on the object image. The method is carried out iteratively, beginning with the acquiring of an X-ray image, until a termination condition occurs based on the most recently established determinability parameter. The disclosure furthermore relates to a computer-implemented method for providing a trained function, a computer-implemented method for providing a further trained function, a medical X-ray device, a training unit, a computer program product, and a computer-readable storage medium.

The present disclosure relates to a medical imaging system having an X-ray source, a detector and a processing system. The the X-ray source is collimated to produce a diverging beam of radiation and transmits X-rays through an object. The detector includes detector pixels arranged in at least one row and is operative to receive the X-ray energy of the X-rays after having passed through the object. The processing system is programmed to select an initial height of the object with respect to the X-ray source plane and determine an initial time delayed summation (TDS) shift frequency based on the initial height. The processing system performs a first scan of the object based on the TDS shift frequency and determines a new height of the object based on a beam angle and an overlap of adjacent images. A new TDS shift frequency is determined based on the new height of the object if the initial height and the new height are not substantially same. The processing system then performs a second scan of the object based on the new TDS shift frequency. The processing system is further programmed to generate an image of the object based on detected X-ray energy at the X-ray detector based on the first scan and the second scan.

Method and apparatus are provided for use with a procedure in which interventions are performed with respect to at least first and second vertebrae of a spine of a subject. Imaging data of the subject's spine is acquired using an imaging device. At least one computer processor is used to generate, upon a display, a spinal roadmap image of at least a portion of the spine that contains the first and second vertebra, automatically label vertebra within the spinal roadmap image, determine that an intervention has been performed with respect to the first vertebra, such that an appearance of the first vertebra has changed, and automatically update the spinal roadmap to reflect the change in the appearance of the first vertebra, such that the updated spinal roadmap is displayed while the intervention is performed with respect to the second vertebra. Other applications are also described.