# US 11,026,749 B1 · Computational simulation platform for planning of interventional procedures > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,026,749 B1 - Document ID: US11026749B1 - Status: Granted - Kind: B1 - Application number: 17/076,213 - Filed: 2020-10-21 - Published: 2021-06-10 - Granted: 2021-06-08 - Earliest claimed: 2019-12-05 - Assignees: Board of Regents of the University of Nebraska - Applicants: The Board of Regents of the University of Nebraska - Inventors: Ioannis S. Chatzizisis - Web page: https://patentgrep.com/patent/US11026749B1 ## CPC - A61B 34/10: Computer-aided planning, simulation or modelling of surgical operations - G06T 7/0012: {Biomedical image inspection} - G06T 17/20: Finite element generation, e.g. wire-frame surface description, {tesselation} - G16H 30/40: for processing medical images, e.g. editing - G16H 50/50: for simulation or modelling of medical disorders - A61B 2034/102: {Modelling of surgical devices, implants or prosthesis} - A61B 2034/105: {Modelling of the patient, e.g. for ligaments or bones} - G06T 2207/30101: Blood vessel; Artery; Vein; Vascular - G06T 2210/41: Medical - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA ## Abstract In accordance with embodiments of this disclosure, a computational simulation platform comprises a computer-implemented method that includes: generating a three-dimensional (3D) reconstruction of a vessel lumen and a surface of the vessel lumen based on invasive or non-invasive imaging; generating a mesh of the 3D reconstructed vessel lumen and surface of the vessel lumen; assigning material properties to the 3D reconstructed surface of the vessel lumen; importing design and material properties of stents and balloons; generating a mesh of a stent and balloon; positioning the meshed stent and balloon within the mesh of the 3D reconstructed vessel lumen and surface of the vessel lumen; performing balloon pre-dilation, stenting and balloon post-dilation computational simulations with the mesh of the 3D reconstructed vessel lumen and surface of the vessel lumen; and assessing stent and vessel morphometric and biomechanical measures based on the computational simulations. ## Claims ### Claim 1 A computational simulation platform for interventional procedures planning, comprising a computer-implemented method that includes: generating a three-dimensional (3D) reconstruction of a vessel lumen and a surface of the vessel lumen based on invasive or non-invasive imaging; generating a mesh of the 3D reconstructed vessel lumen and surface of the vessel lumen; assigning material properties to the 3D reconstructed surface of the vessel lumen based on the invasive or non-invasive imaging, wherein the assigning of the material properties to the 3D reconstructed surface of the vessel lumen based on the invasive or non-invasive imaging includes: determining wall or plaque thickness, lumen area, plaque eccentricity and plaque constituents based on the invasive or non-invasive imaging; dividing the vessel lumen into sequential zones of plaque material; and assigning a quarter number ranging from purely calcium plaque material to purely lipid plaque material; importing design and material properties of stents and balloons; generating a mesh of a stent and balloon; positioning the meshed stent and balloon within the mesh of the 3D reconstructed vessel lumen and surface of the vessel lumen, wherein the meshed stent and balloon in their crimped state are computationally positioned and bent in the mesh of the 3D reconstructed vessel lumen and surface of the vessel lumen; performing balloon pre-dilation, stenting and balloon post-dilation computational simulations with the mesh of the 3D reconstructed vessel lumen and surface of the vessel lumen; and assessing stent and vessel morphometric and biomechanical measures based on the computational simulations. ### Claim 2 (depends on 1) The computational simulation platform of claim 1, wherein the invasive or non-invasive imaging comprises at least one of: coronary angiography, intravascular ultrasound, optical coherence tomography or computed tomography angiography. ### Claim 3 (depends on 1) The computational simulation platform of claim 1, wherein the design and material properties of the stents and balloons are imported based on the invasive or non-invasive imaging. ### Claim 4 (depends on 1) The computational simulation platform of claim 1, wherein the design and material properties of the stents and balloons are imported from one or more databases including manufacturer-provided data. ### Claim 5 (depends on 1) The computational simulation platform of claim 1, wherein the balloon pre-dilation, stenting and balloon post-dilation computations are computationally simulated using finite element analysis. ### Claim 6 (depends on 1) The computational simulation platform of claim 1, wherein the computer-implemented method further includes: assigning plaque plasticity based on the material properties assigned to the 3D reconstructed surface of the vessel lumen. ### Claim 7 A system for simulation and planning of interventional procedures, comprising: one or more medical imaging devices; one or more computer systems communicatively coupled to the one or more medical imaging devices, the one or more computer systems being configured to: generate a three-dimensional (3D) reconstruction of a vessel lumen and a surface of the vessel lumen based on invasive or non-invasive imaging data received from the one or more medical imaging devices; generate a mesh of the 3D reconstructed vessel lumen and surface of the vessel lumen; assign material properties to the 3D reconstructed surface of the vessel lumen based on the invasive or non-invasive imaging data received from the one or more medical imaging devices, wherein the assigning of the material properties to the 3D reconstructed surface of the vessel lumen based on the invasive or non-invasive imaging data includes: determining wall or plaque thickness, lumen area, plaque eccentricity and plaque constituents based on the invasive or non-invasive imaging; dividing the vessel lumen into sequential zones of plaque material; and assigning a quarter number ranging from purely calcium plaque material to purely lipid plaque material; import design and material properties of stents and balloons; generate a mesh of a stent and balloon; position the meshed stent and balloon within the mesh of the 3D reconstructed vessel lumen and surface of the vessel lumen, wherein the meshed stent and balloon in their crimped state are computationally positioned and bent in the mesh of the 3D reconstructed vessel lumen and surface of the vessel lumen; perform balloon pre-dilation, stenting and balloon post-dilation computational simulations with the mesh of the 3D reconstructed vessel lumen and surface of the vessel lumen; and assess stent and vessel morphometric and biomechanical measures based on the computational simulations. ### Claim 8 (depends on 7) The system of claim 7, wherein the invasive or non-invasive imaging data comprise at least one of: coronary angiography data, intravascular ultrasound data, optical coherence tomography data or computed tomography angiography data. ### Claim 9 (depends on 7) The system of claim 7, wherein the design and material properties of the stents and balloons are imported based on the invasive or non-invasive imaging data received from the one or more medical imaging devices. ### Claim 10 (depends on 7) The system of claim 7, wherein the design and material properties of the stents and balloons are imported from one or more databases including manufacturer-provided data. ### Claim 11 (depends on 7) The system of claim 7, wherein the balloon pre-dilation, stenting and balloon post-dilation computations are computationally simulated using finite element analysis. ### Claim 12 (depends on 7) The system of claim 7, wherein the one or more computer systems are further configured to: assign plaque plasticity based on the material properties assigned to the 3D reconstructed surface of the vessel lumen. ### Claim 13 A computational simulation platform for interventional procedures planning, comprising a computer-implemented method that includes: generating a three-dimensional (3D) reconstruction of a vessel lumen and a surface of the vessel lumen based on invasive or non-invasive imaging; generating a mesh of the 3D reconstructed vessel lumen and surface of the vessel lumen; assigning material properties to the 3D reconstructed surface of the vessel lumen; importing design and material properties of stents and balloons; generating a mesh of a stent and balloon; positioning the meshed stent and balloon within the 3D reconstructed vessel lumen and surface of the vessel lumen; performing balloon pre-dilation, stenting and balloon post-dilation computational simulations with the 3D reconstructed vessel lumen and surface of the vessel lumen; and assessing stent and vessel morphometric and biomechanical measures based on the computational simulations, wherein the material properties are assigned to the 3D reconstructed surface of the vessel lumen based on the invasive or non-invasive imaging, and wherein the assigning of the material properties to the 3D reconstructed surface of the vessel lumen based on the invasive or non-invasive imaging includes: determining wall or plaque thickness, lumen area, plaque eccentricity and plaque constituents based on the invasive or non-invasive imaging; dividing the vessel lumen into sequential zones of plaque material; and assigning a quarter number ranging from purely calcium plaque material to purely lipid plaque material. ### Claim 14 (depends on 13) The computational simulation platform of claim 13, wherein the invasive or non-invasive imaging comprises at least one of: coronary angiography, intravascular ultrasound, optical coherence tomography or computed tomography angiography. ### Claim 15 (depends on 13) The computational simulation platform of claim 13, wherein the design and material properties of the stents and balloons are imported based on the invasive or non-invasive imaging. ### Claim 16 (depends on 13) The computational simulation platform of claim 13, wherein the design and material properties of the stents and balloons are imported from one or more databases including manufacturer-provided data. ### Claim 17 (depends on 13) The computational simulation platform of claim 13, wherein the balloon pre-dilation, stenting and balloon post-dilation computations are computationally simulated using finite element analysis. ### Claim 18 (depends on 13) The computational simulation platform of claim 13, wherein the computer-implemented method further includes: assigning plaque plasticity based on the material properties assigned to the 3D reconstructed surface of the vessel lumen.