University of Michigan

King's College London

Raj Rao Nadakuditi

Brahmajee Kartik Nallamothu

Carlos Alberto Figueroa-Alvarez

Kritika Iyer

Christopher John Arthurs

Krishnakumar Garikipati

Elizabeth Renee Livingston

Stephen C Rand

Eric Michielssen

Curtis Jin

Ismael Assi

A method of performing 3D vessel tree reconstruction includes providing segmented binary angiography images, applying a distance transform to the images, and generating distance transformed binary angiography images. The set of distance transformed binary angiography images are provided to a trained 3D vessel reconstruction machine learning model capable of reconstructing 3D vessels. The 3D vessel tree reconstruction machine learning model includes a multi-stage convolutional neural network comprising a multi-stage architecture with (i) a vessel centerline stage, and (ii) a radius reconstruction stage. Resultant 3D reconstructed vessel trees may be used in performing clinical assessment of coronary vessel health, and occlusion.

Machine learning approach for coronary 3D reconstruction from X-ray angiography images

Anatomical and functional assessment of coronary artery disease (CAD) using machine learning and computational modeling techniques deploying methodologies for non-invasive Fractional Flow Reserve (FFR) quantification based on angiographically derived anatomy and hemodynamics data, relying on machine learning algorithms for image segmentation and flow assessment, and relying on accurate physics-based computational fluid dynamics (CFD) simulation for computation of the FFR.

Anatomical and functional assessment of CAD using machine learning

Anatomical and functional assessment of coronary artery disease using machine learning

The method, system, and computer-readable medium increase transmission of waves through a highly scattering random medium. Transmission is increased by iteratively refining wavefronts using measurements of the backscatter wavefronts resulting from transmission of waves into the medium. The process of double phase conjugation by time-reversing a wavefront, transmitting the time-reversed wavefront into the medium, and time-reversing the reversing backscatter wavefront is leveraged to implement the method in a physical system using a phase conjugate mirror. In an embodiment, transmission may be increased by phase-only modulation of the wavefronts. In an embodiment, the invention may be used to focus transmission through the medium to a location opposite the wave source.

Methods for increasing transmission through scattering random media

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Ann Arbor, MI, United States of America

Raj Rao Nadakuditi