Abstract: A vascular assessment apparatus is disclosed. The apparatus is configured to receive medical images of a coronary vessel tree of a subject from a medical imaging device and analyze the medical images to identify vessel segments within the coronary vessel tree. For each identified vessel segment, the apparatus is configured to analyze portions of the segment to determine at least one of a radius, diameter, or cross-sectional area of the vessel segment at the analyzed portions, determine resistances for the analyzed portions of the vessel segment based the radius, diameter, or the cross-sectional area at the analyzed portions, and combine the determined resistances for the analyzed portions of the vessel segment to determine a total resistance of the identified vessel segment. The example apparatus is also configured to determine flow rates at each identified vessel segment and calculate an index indicative of vascular function based on the determined flow rates.

Abstract: Systems and methods are described for the compositing together of model-linked vascular data from a plurality of sources, including at least one 2-D angiography image, for display in a frame of reference of the at least one angiography image. In some embodiments, a linking model comprises a data structure configured to link locations of angiographic images to corresponding elements of non-image vascular parameter data. The linking data structure is traversed to obtain a mapping to the frame of reference of one or more of the angiographic images.

Abstract: An automated measurement device and method for coronary artery disease scoring is disclosed. An example device includes a vascular tree reconstructor configured to receive vascular image data of a plurality of vascular segments of a patient and create a computerized model of the plurality of vascular segments by combining the vascular image data. The example device also includes a stenosis determiner configured to analyze the model to determine locations of potential lesions. The example device further includes a vascular state score calculator configured to, for each potential lesion, determine a first vascular state scoring tool “VSST”) subscore based on a size of the potential lesion and a second VSST subscore based on a distance of the potential lesion from a branch point in the plurality of vascular segment. The vascular state score calculator calculates a total VSST score by combining the first VSST subscore and the second VSST subscore.

Abstract: Method for real-time vascular modeling and assessment. Modeling, in some embodiments, comprises receiving a plurality of 2-D angiographic images of a portion of a vasculature of a subject, and processing the images to automatically detect 2-D features, for example, paths along vascular extents, which are projected into 3-D to determine homologous features among blood vessels and construct 3-D vascular extents and determine other vascular characteristics. Assessment, in some embodiments, comprises processing models selectively different from one another to produce one or more vascular indexes which indicate a diagnostic preference, for example, to perform a medical intervention such as a stent implantation. Speed is achieved, for example, by the method being optimized for determining the effects of a medical intervention. In some embodiments, results are produced quickly enough to allow use of the method to perform PCI within the same catheterization used to perform diagnostic imaging.

Abstract: A method for vascular assessment is disclosed. The method includes receiving a plurality of medical images of a portion of a vasculature of a subject and processing the medical images to produce a model of the vasculature. The method further includes obtaining a flow characteristic of the model and calculating an index indicative of vascular function, based, at least in part, on the flow characteristic in the model.

Abstract: Automated image analysis used in vascular disease characterization. Coronary vasculature in particular is automatically characterized in some embodiments for lesion complexity and related anatomical and/or functional parameters related to disease state. In some embodiments, a “virtual revascularization” model is used as a reference in disease state determinations. In some embodiments, disease parameters are determined for application by a disease characterization tool such as a SYNTAX Score calculator.

Abstract: A method for vascular assessment is disclosed. The method comprises receiving a plurality of 2D angiographic images of a portion of a vasculature of a subject, and processing the images to produce a stenotic model over the vasculature, the stenotic model having measurements of the vasculature at one or more locations along vessels of the vasculature. The method further comprises obtaining a flow characteristic of the stenotic model, and calculating an index indicative of vascular function, based, at least in part, on the flow characteristic in the stenotic model.

Abstract: A method for vascular modeling is disclosed. The method, in some embodiments, comprises receiving a plurality of 2-D angiographic images of a portion of a vasculature of a subject, and processing the images to automatically detect 2-D features, for example, paths along vascular extents, which are projected into 3-D to determine homologous features among blood vessels. In some embodiments, projection and/or image registration is iteratively altered to improve feature position matching. Based on 3-D vascular extents and their registration to 2-D images, additional features such as vascular width are optionally determined and added to the model.

Abstract: 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.

Abstract: A method for vascular assessment is disclosed. The method comprises receiving a plurality of 2D angiographic images of a portion of a vasculature of a subject, and processing the images to produce a stenotic model over the vasculature, the stenotic model having measurements of the vasculature at one or more locations along vessels of the vasculature. The method further comprises obtaining a flow characteristic of the stenotic model, and calculating an index indicative of vascular function, based, at least in part, on the flow characteristic in the stenotic model.