Methods for operating a medical imaging device for positionally correct representation of non-anatomical structures during an imaging examination may include providing a first 3D image containing at least one anatomical structure, extracting at least one anatomical model from the at least one anatomical structure, providing 2D update images recorded at different times, extracting non-anatomical and anatomical structures from subsets of the update images, calculating a non-anatomical 3D image from at least two partial reconstructions based on the extracted non-anatomical structures, reconstructing an anatomical 3D image based on the extracted anatomical structures, registering the anatomical 3D image with the first 3D image by determining a coordinate transformation, and creating a navigation volume from the anatomical model and the non-anatomical 3D image using the coordinate transformation.

A computer that determines at least an anatomic feature of a left atrial appendage (LAA) is described. During operation, the computer generates a 3D image associated with an individual's heart. This 3D image may present a view along a perpendicular direction to an opening of the LAA. Then, the computer may receive information specifying a set of reference locations. For example, the set of reference locations may include: a location on a circumflex artery, a location between a superior portion of the LAA and a left pulmonary vein, and/or a location on a superior wall of the LAA and distal to trabeculae carneae. Next, the computer automatically determines, based, at least in part, on the set of reference locations, at least the anatomical feature of the LAA, which is associated with the opening of the LAA and a size of a device used in an LAA closure (LAAC) procedure.

A radiographic image capturing system is described. If a hardware processor determines that an image processor and an image analyzing unit are capable of sharing image data via an identical memory, the image processor stores image data in the memory and the image analyzing unit analyzes the image data with reference to the memory. If the hardware processor determines that the image processor and the image analyzing unit can send and receive the data via a wired network, the image processor transfers the data to the image analyzing unit, and the image analyzing unit analyzes the data. If the hardware processor determines that the image processor and the image analyzing unit can send and receive the data via a wireless network, the image processor compresses the data or decimates partial data and transfers the data to the image analyzing unit, and the image analyzing unit decompresses and analyzes the data.

Images can be generated with overlays indicating an amount of brain tissue damage based on the disruption of blood supply. Imaging data can be analyzed to determine perfusion parameters with respect to regions of the brain of an individual. The thresholds for the perfusion parameters with respect to the presence of damaged brain tissue can be based on a period of time elapsed since the onset of a biological condition disrupting blood flow to one or more regions of the brain of the individual. The imaging data can also be analyzed to determine measures of hypodensity with respect to regions of the brain of the individual. A likelihood of the measures of hypodensity corresponding to damaged brain tissue can also be determined based on the period of time elapsed since the onset of the biological condition.

Provided is a dynamic analysis apparatus that predicts a respiratory function value based on frame images showing dynamics of chest. The dynamic analysis apparatus includes a hardware processor that obtains a first lung size value of a removal target site and a second lung size value of a left or right lung field including the removal target site, calculates a proportion between the first and second lung size values as a size proportion, calculates a first feature amount concerning respiratory function of the left or right lung field including the removal target site and a second feature amount concerning respiratory function of the lung fields as a whole, calculates a proportion between the first and second feature amounts as a feature amount proportion, and calculates an expected rate of the respiratory function without the removal target site, based on a product of the size proportion and the feature amount proportion.

A dynamic imaging quality control device performs quality control of dynamic imaging in which a dynamic state of a subject is imaged by irradiating the subject with radiation. The device includes a hardware processor that: determines a target frame image as a target of quality control from among multiple frame images constituting a dynamic image obtained by the dynamic imaging; generates quality information regarding quality of the dynamic imaging by using the determined target frame image; and outputs the quality information

There is provided a medical image processing apparatus which includes a first extraction unit configured to extract coronary arteries depicted in images of a plurality of time phases relating to the heart, and to extract at least one stenosed part depicted in each coronary artery; a calculation unit configured to calculate a pressure gradient of each of the extracted coronary arteries, based on tissue blood flow volumes of the coronary arteries; a second extraction unit configured to extract an ischemic region depicted in the images; and a specifying unit configured to specify a responsible blood vessel of the ischemic region by referring to a dominance map, in which each of the extracted coronary arteries and a dominance territory are associated, for the extracted ischemic region, and to specify a responsible stenosis, based on the pressure gradient corresponding to a stenosed part in the specified responsible blood vessel.

A radiographic image display apparatus 3 included in a radiographic imaging system 100 includes a hardware processor that obtains an image data item on each of the frame images generated by the radiographic imaging apparatus 2, detects a situation of the subject at least at a time point in the dynamic imaging, associates the detected situation of the subject with the obtained image data items, and issues a specific output for notification that the subject is in a specific situation when the subject is in a state of a specific frame image fs, in a case where the display is caused to display the specific frame image fs, this specific frame image fs being taken when it is detected that the situation of the subject is the specific situation.

A marker-coordinate detecting unit detects coordinates of a stent marker on a new image when the new image is stored in an image-data storage unit; and then a correction-image creating unit creates a correction image from the new image through, for example, image transformation processing, so as to match up the detected coordinates with reference coordinates that are coordinates of the stent marker already detected by the marker-coordinate detecting unit in a first frame. An image post-processing unit then creates an image for display by performing post-processing on the correction image created by the correction-image creating unit, the post-processing including high-frequency noise reduction filtering-processing, low-frequency component removal filtering-processing, and logarithmic-image creating processing; and then a system control unit performs control of displaying a moving image of an enlarged image of a set region that is set in the image for display, together with an original image.

Methods and systems are provided for cardiac computed tomography imaging. In one embodiment, a method comprises reconstructing an image from projection data acquired during a scan with a reconstruction time determined based on a model relating a timing of an event to be imaged to a heart rate measured during the scan. In this way, the timing of a reconstruction may be consistently applied for a series of reconstructions, thereby inherently registering the reconstructions.