HCA Healthcare has been granted a patent for a computer-implemented method for quantitative flow analysis of coronary trees perfusing a patient’s heart. The method involves generating 3D reconstructions, identifying regions of interest, and creating models based on geometrical features extracted from images for accurate flow analysis. GlobalData’s report on HCA Healthcare gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on HCA Healthcare, Cloud gaming was a key innovation area identified from patents. HCA Healthcare's grant share as of May 2024 was 57%. Grant share is based on the ratio of number of grants to total number of patents.
Quantitative flow analysis of coronary tree perfusing myocardium
A recently granted patent (Publication Number: US11983473B2) discloses a computer-implemented method for quantitative flow analysis of a coronary tree perfusing a myocardium of a patient's heart using bi-dimensional images. The method involves generating a 3D reconstruction of the coronary tree, identifying regions of interest with flow issues, creating reduced 3D and 1D models specific to the patient, and coupling these models to analyze flow. The analysis includes measurements of contrast propagation velocity and densiometric measurements to characterize collateral flow within the coronary tree, adjusting the model accordingly. The method aims to provide accurate quantitative flow analysis for improved diagnosis and treatment planning.
Furthermore, the patent includes details on adjusting the models based on image analysis, motion analysis of the heart or coronary tree, and incorporating parameters like aortic pressure and fractional flow reserve values. The method also involves using X-ray angio images for analysis, generating models based on geometrical features extracted from 3D reconstructions, and simulating collateral flow within the coronary tree. The patent highlights the use of computational fluid dynamics simulations and lumped parameter zero-dimensional models to account for boundary conditions and resistance in blood flow. Overall, the method described in the patent offers a comprehensive approach to quantitative flow analysis, leveraging advanced imaging techniques and computational models to enhance the understanding of coronary flow dynamics and aid in clinical decision-making processes.
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