Systems and methods are disclosed for correcting for artificial deformations in anatomical modeling. One method includes obtaining an anatomic model; obtaining information indicating a presence of an artificial deformation of the anatomic model; identifying a portion of the anatomic model associated with the artificial deformation; estimating a non-deformed local area corresponding to the portion of the anatomic model; and modifying the portion of the anatomic model associated with the artificial deformation, based on the estimated non-deformed local area.

A method for identifying bleeding in a patient, comprising: receiving a four-dimensional data set comprising vascular voxels, each of the voxels representing a three-dimensional location of a time-varying signal; identifying the vascular voxels in the data set by comparing each time-varying signal of each voxel in the data set to a variance threshold; identifying, within the vascular voxels in the data set, blood vessel site voxels by comparing each time-varying signal of the vascular voxels to a model arterial and venous signals; generating clusters of voxels in the data set; separating the clusters of voxels into a subset of blood vessel site clusters and a subset of remaining clusters; identifying, within the subset of remaining clusters, one or more clusters that are spatially growing over time to determine one or more active bleed sites in the patient; and generating an alert if one or more active bleed sites are determined.

A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain medical image data related to a coronary artery of a subject. The processing circuitry is configured to derive a value of a blood flow parameter indicating hemodynamics of the coronary artery, on the basis of the medical image data. The processing circuitry is configured to display information indicating a change in the value of the blood flow parameter along the coronary artery, by using a graph of which the vertical axis expresses values of the blood flow parameter and of which the horizontal axis corresponds to the distance direction along the coronary artery and is configured to further display supplementary information indicating the structure of the coronary artery together with the graph.

A computer-implemented method is provided for training a neural network to determine an elastic property of a target issue region. A first training set is generated to include a plurality of sets of images. Each set of images includes a first speckle image of the target issue region at rest and a second speckle image of the target issue region being deformed by a known force. The neural network is trained in a first stage using the first training set. A second training set is generated to include the first training set and one or more sets of images having an elastic property value incorrectly determined after the first stage of training. The neural network is trained in a second stage using the second training set.

A method and system for myocardial information determination may be provided. Medical images of the heart of a target subject may be obtained. The medical images may be collected by performing a medical scan on the target subject when the target subject is injected with a first tracer. A target model that has been trained using training samples may be obtained. Each training sample includes label information collected using a second tracer. Blood flow information and/or cardiac function information of the heart of the target subject may be determined based on the medical images and the target model.

Systems and methods for image processing are provided. The systems obtain a plurality of images of a target subject that are captured consecutively over time. The target subject is injected with tracer and including a target body portion. For each of the plurality of images, the systems generate a sub-image of the target body portion by segmenting the image and transform the sub-image to generate a transformed sub-image in a standard space based on a template image of the target body portion. The standard space includes a plurality of template images of a plurality of body portions. The systems further determine an uptake variation curve indicating a change of tracer uptake in the target body portion over the time based on the transformed sub-images corresponding to the plurality of images.

Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.

Automated image analysis used in vascular state modeling. Coronary vasculature in particular is modeled in some embodiments. Methods of virtual revascularization of a presently stenotic vasculature are described; useful, for example, as a reference in disease state determinations. Structure and uses of a model which relates records comprising acquired images or other structured data to a vascular tree representation are described.

A system is described for generating a revascularization score for a blockage of a coronary artery in a heart. The system accesses indications of viability of myocardial tissue in the heart, a blockage state of the blockage that includes a blockage location and a blockage amount, and the perfusion territory of the myocardial tissue. Based on the myocardial tissue state, blockage state, and perfusion territory, the system generates a revascularization score for the blockage. The system generates a graphic of the heart that illustrates coronary arteries, myocardial tissue state, blockage state, and the revascularization score. The system displays the graphic to provide a visual representation of the revascularization score for the blockage of the coronary artery.

Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.