A medical imaging system is provided. Imaging detector columns are installed in a gantry to receive imaging information about a subject. Imaging detector columns can extend and retract radially as well as be rotated orbitally around the gantry. The system can automatically adjust setup configuration and an imaging operation based on subject shape estimation information.

A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to extract a degree of a disease related to the heart from a medical image; and display, when the degree of the disease related to the heart is high, a first index value related to a blood vessel and calculated from one of blood pressure and a blood flow and configured to display, when the degree of the disease related to the heart is low, wall shear stress serving as a second index value related to the blood vessel, as information related to the blood flow of the blood vessel and calculated on the basis of the medical image.

Embodiments discussed herein facilitate generation of a prognosis for recurrence or non-recurrence of atrial fibrillation (AF) after pulmonary vein isolation (PVI). A first set of embodiments discussed herein relates to training of a machine learning classifier to determine a prognosis for AF after PVI based on radiographic images, alone or in combination with clinical features. A second set of embodiments discussed herein relates to determination of a prognosis for a patient for AF after PVI based on radiographic images, alone or in combination with clinical features.

Method, executed by a computer, for identifying a coronary sinus of a patient, comprising: receiving a 3D image of a body region of the patient; extracting 2D axial images of the 3D image taken along respective axial planes, 2D sagittal images of the 3D image taken along respective sagittal planes, and 2D coronal images of the 3D image taken along respective coronal planes; applying an axial neural network to each 2D axial image to generate a respective 2D axial probability map, a sagittal neural network to each 2D sagittal image to generate a respective 2D sagittal probability map, and a coronal neural network to each 2D coronal image to generate a respective 2D coronal probability map; generating, based on the 2D probability maps, a 3D mask of the coronary sinus of the patient.

An X-ray CT apparatus of an embodiment acquires projection data of a subject based on X-ray detection data according to biometric information synchronous scanning and generates a CT image of the subject based on the projection data. The X-ray CT apparatus includes a first acquisition unit, a determination unit, and a second acquisition unit. The first acquisition unit acquires biometric information of the subject at a timing when the biometric information synchronous scanning has been performed. The determination unit determines, as priority data, detection data that is a target for which data transfer will be preferentially performed among X-ray detection data acquired in the biometric information synchronous scanning based on the biometric information. The second acquisition unit acquires the priority data from a storage device that holds the detection data.

A plurality of radiographic images are captured of a portion of a patient in periodic motion, such as cardiac images (heartbeat motion) or lungs (breathing motion). A first subset of the captured radiographic images are identified as having a common first capture time relative to a phase of the periodic motion. A first 3D image is reconstructed using the first subset of captured radiographic images. Additional subsets of the radiographic images are processed similarly based on their common capture time relative to the phase of the periodic motion.

The present invention provides stationary CT architecture for imaging at a faster temporal resolution and lower radiation dose. In embodiments, the architecture features stationary distributed x-ray sources and rotating x-ray detectors. Provided is a stationary source computed tomography (CT) architecture comprising: a detector disposed on a rotatable gantry; an x-ray source disposed on a fixed ring; wherein the detector is disposed on the gantry in a manner such that the detector is capable of rotating around a subject and of receiving a signal from the x-ray source. Embodiments of the invention include a CT-MRI scanner comprising the stationary CT architecture.

Embodiments of the present disclosure include a method, device and computer readable medium involving receiving image data of one or more coronary arteries, generating a binary segmentation indicating presence of calcium in the one or more coronary arteries from the image data, generating a branch density of the one or more coronary arteries, and assigning a coronary artery label from the branch density to the binary segmentation such that at least one indication of presence of calcium of the binary segmentation is labeled as present in a specific one of the one or more coronary arteries.

A system and method is provided for processing a positron emission tomography (PET) image of a subject having received a dose of a radiotracer that serves as chemical analog of an MC-I inhibitor. Specifically, the processing may includes identifying portions of the at least one PET image that represent MC-I expression levels.

A diagnostic support program that is possible to display a movement of an organ is provided.

A diagnostic support program that analyzes images of an organ of a human and displays analysis results, the program causing a computer to execute a process comprising: processing of acquiring a plurality of frame images, processing of calculating a cyclic change that characterizes a state of an organ between each of the frame images, processing of Fourier-transforming the cyclic change that characterizes the state of the organ, processing of extracting a spectrum in a fixed band including a spectrum corresponding to a frequency of a movement of an organ out of a spectrum obtained after the Fourier-transforming, processing of performing inverse Fourier transform on the spectrum extracted from the fixed band, and processing of outputting each of the images after performing the inverse Fourier transform, is provided.