A computer-implemented segmentation method for segmenting a core and a penumbra in a four-dimensional computed tomography perfusion dataset of ischemic tissue in an image region of a patient, includes determining at least one parameter map for at least one perfusion parameter from the computed tomography perfusion dataset; and using the at least one parameter map and the computed tomograph perfusion dataset as input data to a trained function to determine output data, the output data including segmentation information of the penumbra and the core.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

A method and related systems for refiguring an ultrasound dose are described. The method may involve creating a medium property map of a region of interest of a subject, wherein the medium property map provides different medium property values in different segments of the region of interest dependent on the medium within each segment. The method may further involve obtaining an image of the region of interest, including a target treatment area and a surrounding region of the target treatment area. In some cases, the method includes processing the image to identify different components of the region of interest, segmenting and categorizing the different components into predetermined media categories, and retrieving a medium property value associated with each media category. The medium property value may be attributed to each respective component of the segmented region of interest.

A method, system and device for performing measurement and classification for CT-FFR, and a storage medium, for dividing lesions into different types according to a Coronary Computed Tomography Angiography (CCTA) image, determining focus lengths of lesion positions according to different lesion types, then determining Computed Tomography Fractional Flow Reserve measurement ranges according to the focus lengths of different lesion types, establishing statistical matrices to subject all Computed Tomography Fractional Flow Reserve (CT-FFR) values within the measurement ranges to calculation, and finally subjecting the calculation results to hemodynamical classification. By performing lesion specific classification of lesions in a hemodynamical sense, the accuracy and stability of CT-FFR assessment is enhanced, interference is reduced, and a more reliable solution is provided for clinical physicians and patients.

One or more example embodiments of the present invention relates to a method for providing vessel wall-related data. The method includes receiving spectral computed tomography data of an examination region, the examination region having a vessel; calculating a representation of a vessel wall of the vessel and at least one parameter map of the examination region based on the spectral computed tomography data; calculating the vessel wall-related data based on the representation of the vessel wall and the at least one parameter map of the examination region; and providing the vessel wall-related data.

A computer-implemented method for automatically performing a longitudinal review of medical imaging data via one or more processors includes obtaining, at a computing device, a first image volume acquired of a subject with a medical imaging system of an imaging modality. The method also includes obtaining, at the computing device, a second image volume acquired of the subject with the medical imaging system or another medical imaging system of the imaging modality or a different imaging modality, wherein the first image volume was acquired at an earlier time point than the second image volume. The method further includes automatically aligning, via the computing device, the second image volume to the first image volume to generate aligned image volumes.

Method for estimating a movement of particles in a bone, including the following steps: obtaining data associated with ultrasonic waves emitted at a temporal frequency; obtaining ultrasonic wave phase velocities in the bone in various directions followed by the ultrasonic waves; obtaining videos showing the bone at a point, the videos issuing from ultrasonic waves; computing phase variations at the point between two images of the videos; and computing a particle movement at the point based on the temporal frequency, the data associated with the ultrasonic waves, the phase variations, and the phase velocities in the various directions.

A co-registration system includes a processor circuit that determines a mapping between corresponding locations of a first 3D model of a blood vessel based on CT imaging data and a second 3D model of the blood vessel based on x-ray angiography data. The processor circuit receives, from an x-ray fluoroscopy device, x-ray fluoroscopy images of the blood vessel while an intravascular catheter/guidewire moves through the blood vessel. The processor circuit receives, from the catheter/guidewire, intravascular data representative of the blood vessel while the catheter/guidewire moves through the blood vessel. The processor circuit co-registers the intravascular data to the second 3D model based on the x-ray fluoroscopy images. The processor circuit co-registers the intravascular data to the first 3D model based on the mapping. The processor circuit outputs, to a display, the first 3D model and a visual representation of the intravascular data overlaid on the first 3D model.

Methods and systems for characterizing tissue of a subject are disclosed. The method includes receiving a time series of fluorescence images of the tissue of the subject wherein the images define a plurality of calculation regions, generating a plurality of time-intensity curves for the plurality of calculation regions, creating a set of parameter values for each calculation region, generating a total rank value for each calculation region by comparing the sets of parameter values, and converting the total rank value into a ranking map image. Also disclosed are methods and systems for characterizing a wound in tissue by generating a wound index value.

An ultrasound imaging system configured to assess a blood flow rate through a target vessel. The ultrasound imaging system includes an ultrasound probe having an ultrasound array configured to capture ultrasound image of the target vessel and a doppler array configured to detect the fluid flow through a region of interest of the target vessel. Logic operations of a console of the system and methods include determining a region of interest of the ultrasound image, calculating a percentage of the blood vessel occupied by the vascular access device, utilizing a data training set to predict a blood flow rate after placement of the vascular access device based on a blood flow rate prior to placement of the vascular device, and utilizing a data training set to predict a blood flow rate downstream of the vascular access device based on a blood flow rate upstream of the vascular device.