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.

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.

Systems and method can be provided to transform input data (e.g., CT imaging data) into structured representations to create interpretable models. Another aspect of the current invention can be generating labels synthetically to apply to real data according to a biologically-based labelling technique to guide the model training with a priori mechanistic knowledge.

Systems and methods are disclosed for assessing the severity of plaque and/or stenotic lesions using contrast distribution predictions and measurements. One method includes; receiving patient-specific images of a patient's vasculature and a measured distribution of a contrast agent delivered through the patient's vasculature; associating the measured distribution of the contrast agent with a patient-specific anatomic model of the patients vasculature; defining physiological and boundary conditions of a blood flow model of the patient's blood flow and pressure; simulating the distribution of the contrast agent through the patient-specific anatomic model; comparing the measured distribution of the contrast agent and the simulated distribution of the contrast agent through the patient-specific anatomic model to determine whether a similarity condition is satisfied; and updating the defined physiological and boundary conditions and re-simulating distribution of the contrast agent through the one or more points of the patient-specific anatomic model until the similarity condition is satisfied.

The invention relates to an image processing method and a medical observation device (1) such as a microscope (2) or endoscope. The device and method are used for displaying output image data (54) of soft biological tissue (12). In image-guided surgery, pre-operative three-dimensional image data (6) of the soft biological tissue (12) are elastically matched to interoperative image data (14) which are acquired during surgery. By displaying the elastically matched pre-operative three-dimensional image data (6) together with the interoperative image data (14), the surgeon may be made aware of the consistence of the soft biological tissue (12) below the visible surface layer. Existing systems for image-guided surgery need to be manually readjusted if surgery is done on soft biological tissue (12), which may deform and shift. To avoid this, the device and method according to the invention perform an elastic matching of the pre-operative three-dimensional image data (6) based on the interoperative image data (14) of the soft biological tissue (12). At least one vascular plexus structure (48) is first identified in the interoperative image data (14) and then the same vascular plexus structure (48) is identified in the pre-operative three-dimensional image data (6). The vascular plexus structure (48) in the pre-operative three-dimensional image data (6) is then elastically matched to the vascular plexus structure (48) in the interoperative image data (14). Output image data (54) are generated combining the elastically matched pre-operative three-dimensional image data (6) to the interoperative image data (14). Preferably, the at least one vascular plexus structure (48) is identified using fluorescent light from a fluorophore (22) which has been injected into the soft biological tissue (12).

A fluorescent imaging device includes a light source unit including a first light source for radiating excitation light, a second light source for radiating visible illumination light, and a third light source for radiating non-visible light, an imager being configured to capture a fluorescent image, a visible image, and a non-visible image, and a tracking processor that is operable to perform moving-body tracking for a region of interest that is set in an image based on at least the non-visible image.

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 technique for estimating a whole object surface area and volume of a micro-scale three-dimensional model with a partially visible surface includes receiving a single-view stereoscopic image of an object of interest and an unconstrained three-dimensional point cloud of the object, generating a constrained three-dimensional point cloud using the image, the unconstrained three-dimensional point cloud, and a digital elevation model (DEM) of the object generated from the image, generating, using the constrained three-dimensional point cloud, a three-dimensional mesh representing an estimate of the surface of the object, calculating a partial surface area and/or partial volume of the object using the three-dimensional mesh, estimating an extent of a visible surface of the object, and calculating a whole surface area and/or a whole volume of the object based on the partial surface area of the object and the estimated extent of the visible surface of the object.

The present disclosure describes a system and a method for producing patient-specific small diameter vascular grafts (SDVG) for coronary artery bypass graft (CABG) surgery. In some embodiments, the method for producing SDVGs includes non-invasive quantification of patient-specific coronary and vascular physiology by applying computational fluid dynamics (CFD), rapid prototyping, and in vitro techniques to medical images and coupling the quantified patient-specific coronary and vascular physiology from the CFD to computational fluid-structure interactions and SDVG structural factors to design a patient-specific SDVG.

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.