A cardiac state system, comprising a processing unit (4) configured to receive input signals (6) including parameters from, or related to, one or many registration points or areas within or outside a heart (8), and a storage unit (10) where one or many search tools are stored. The processing unit (4) is configured to process the input signals (6), by applying said search tools, to identify point of interests (POI), being landmarks, patterns and/or group patterns. The processing unit (4) is further configured to search for and identify global and/or regional event markers among said POIs to evaluate hydro-mechanical and/or hydro-dynamic functions of the heart. Preferably, at least some of said identified event markers are associated to the AV-piston defined according to the dynamic adaptive piston pump (DAPP) technology.

Ascorbate or a pharmaceutically acceptable salt thereof is described for use in carrying out a method, or for the preparation of a medicament for carrying out a method, of enhancing a magnetic resonance imaging (MRI) image of a body or body region such as an organ or organ region in a subject. The method is carried out by parenterally administering ascorbate or a pharmaceutically acceptable salt thereof to the subject in an MRI image-enhancing amount; and then generating, by MRI of the subject, an image of the body or body region. The ascorbate or pharmaceutically acceptable salt thereof enhances the MRI image.

In a method for automatic motion detection in medical image-series, a dataset of a series of images is provided. The images can be of a similar region of interest that are recorded at consecutive points of time. The method can further include localizing a target in the images of the dataset and calculating a position of the target in the images to calculate localization data of the target, and calculating movement data of a movement of the target of temporal adjacent images of the images based on the localization data.

A system and method for multi-modality fusion for 3D printing of a patient-specific organ model is disclosed. A plurality of medical images of a target organ of a patient from different medical imaging modalities are fused. A holistic mesh model of the target organ is generated by segmenting the target organ in the fused medical images from the different medical imaging modalities. One or more spatially varying physiological parameter is estimated from the fused medical images and the estimated one or more spatially varying physiological parameter is mapped to the holistic mesh model of the target organ. The holistic mesh model of the target organ is 3D printed including a representation of the estimated one or more spatially varying physiological parameter mapped to the holistic mesh model. The estimated one or more spatially varying physiological parameter can be represented in the 3D printed model using a spatially material property (e.g., stiffness), spatially varying material colors, and/or spatially varying material texture.

A method for determining the size of a bicuspid annulus of bicuspid, including acquiring an image of the heart including the left ventricle and the aorta; generating a first plane, which includes a line that passes through two base points in the bicuspid of the image of the heart; and generating multiple second planes, which are obtained per each rotation, while rotating the first plane multiple times by a predetermined angle about the line that passes through the two base points; measuring the cross-sectional area of each of at least one of the left ventricle and the aorta, which are formed on the first plane and the multiple second planes; selecting a plane for measuring the size of a bicuspid annulus among the first plane and the multiple second planes based on the measured cross-sectional area; and measuring the size of the bicuspid annulus based on the selected plane.

Apparatus and methods are described including inserting a tool into a blood vessel, and, while the tool is within the blood vessel, acquiring an extraluminal image of the blood vessel. In the extraluminal image of the blood vessel, a location of a portion of the tool with respect to the blood vessel is detected automatically. In response to detecting the location of the portion of the tool, a target portion of the blood vessel that is in a vicinity of the portion of the tool is designated automatically. Using the extraluminal image, quantitative vessel analysis is performed on the target portion of the blood vessel. Other embodiments are also described.

Devices and methods are provided for analyzing images from a magnetic resonance (MR) system. The device includes at least one hardware processor coupled with a storage system accessible to the at least one hardware processor. The device further includes a display in communication with the at least one hardware processor. The device receives a plurality of non-contrast MR images in a region of interest (ROI). The device obtains blood flow signals from the plurality of non-contrast MR images. The device identifies an abnormal segment by analyzing the blood flow signals. The device displays the non-contrast MR images by a highlighted segment in at least one of the non-contrast MR images to indicate the abnormal segment on the display.

A method for performing free breathing pixel-wise myocardial T1 parameter mapping includes performing a free-breathing scan of a cardiac region at a plurality of varying saturation recovery times to acquire a k-space dataset; generating an image dataset based on the k-space dataset; and performing a respiratory motion correction process on the image dataset. The respiratory motion correction process comprises selecting a target image from the image dataset, co-registering each image in the image dataset to the target image to determine a spatial alignment measurement for each image, and identifying a subset of the image dataset comprising images with the spatial alignment measurement above a predetermined value. Following the respiratory motion correction process, a pixel-wise fitting is performed on the image dataset to estimate T1 relaxation time values for the cardiac region. Then, a pixel-map of the cardiac region is produced depicting the T1 relaxation time values.

For characterizing spatial-temporal dynamics of a medium (1) excitable for deformation, an elastic model of the medium is defined. The medium is imaged at consecutive points in time to obtain a series of images. Shifts of structures of the medium (1) between the images of the series are determined. A dynamic description of a temporal development of spatial deformations of a predefined elastic model of the medium (1) is adapted to match the shifts of the structures; and temporal developments of rate of deformation patterns in the medium (1) are identified from the dynamic description.

Rapid quantitative evaluations of heart function are carried out with strain measurements from Magnetic Resonance Imaging (MRI) images using a circuit at least partially onboard or in communication with an MRI Scanner and in communication with the at least one display, the circuit including at least one processor that: obtains a plurality of series of MRI images of long and short axis planes of a heart of a patient, with each series of the MRI images is taken over a different single beat of the heart of the patient during an image session that is five minutes or less of active scan time and with the patient in a bore of the MRI Scanner; measures strain of myocardial heart tissue of the heart of the patient based on the plurality of series of MRI images of the heart of the patient; and generates longitudinal and circumferential heart models with a plurality of adjacent compartments, wherein the compartments are color-coded based on the measured strain.