International Business Machines Corporation

Stephen Michael Moore

Julia S Baldauf

Christine Schieber

Kerry J Halupka

Darcy James Beurle

Matthew Downton

Sergiy Zhuk

Alexe Bojovschi

Timothy Michael Lynar

John Michael Wagner

Rahil Garnavi

Suman Sedai

Pallab K Roy

Sean A McKenna

Seshu Tirupathi

Michele Gazzetti

Priscilla Racquel Rogers

Andrew Rawlinson

Pol MacAonghusa

Albert Akhriev

Colin Compas

Melanie E Roberts

George Yiapanis

Yasmin Blunck

A method of recovering particles from a liquid, a froth flotation apparatus, and a method of recovering particles in a flotation cell are disclosed. In an embodiment, the method comprises a technique of exposing the particles to first-size bubbles having a first predetermined size; the first-size bubbles adhering to the particles; and exposing the particles in a liquid, with the first-size bubbles adhering to the particles, to second-size bubbles having a second predetermined size, the second predetermined size being at least approximately ten times larger than the first predetermined size. The method further comprises the second-size bubbles adhering to the particles and engulfing the first-size bubbles on the particles; and using the second-size bubbles adhering to the particles to recover the particles from the liquid. In one embodiment a first surfactant is used to form the first-size bubbles, and a second surfactant is used to form the second-size bubbles.

Engulfed nano/micro bubbles for improved recovery of large particles in a flotation cell

A method of generating a 4D model includes capturing imagery of a catheter and a vessel as the catheter is directed through the vessel to a location of interest, wherein the catheter is disposed on a guidewire, constructing a 3D time varying reference curve describing a trajectory of the guidewire, and constructing a time varying 3D model of the artery using the reference curve.

Intravascular catheter for modeling blood vessels

A method including generating a 3-D model of an unstenosed geometry of a blood vessel responsive to a 3-D model of an actual geometry of the blood vessel, establishing a parametric description of a stent that is expanded from a collapsed configuration to a final configuration that apposes the unstenosed geometry, developing a design for the stent by varying parameters of the parametric description responsive to a design heuristic that includes risk of stent strut breakage during a plastic deformation between the collapsed configuration and the final configuration, embodying the stent according to the design for the stent, inserting the stent into a blood vessel in its collapsed configuration, maneuvering the stent through the blood vessel to a stenosis, and expanding the stent to its final configuration.

Personalized coronary stents

In an approach for classifying regions of tissue captured in multispectral videos into medically meaningful classes using GPU accelerated perfusion estimation, a processor receives one or more multispectral videos of a subject tissue of a patient. A processor extracts one or more fluorescence time series profiles from the one or more multispectral videos. A processor estimates one or more sets of perfusion parameters based on the one or more fluorescence time series profiles. A processor inputs one or more feature vectors into a classifier, wherein the one or more feature vectors are derived the one or more sets of perfusion parameters. A processor receives a classification result for each of the one or more feature vectors, wherein the classification result comprises a set of medically relevant labels for each of the one or more feature vectors with a level of certainty for each label of the set of medically relevant labels.

GPU accelerated perfusion estimation from multispectral videos

A technique relates to coronary reconstruction. Angiogram data associated with cardiac catheterization of an artery for a subject is received, where a contrasting agent is used during the cardiac catheterization. Frames that match from the angiogram data are selected, the frames being from different views. Two-dimensional ordered point clouds for the frames are formed. A three-dimensional ordered point cloud of a reconstructed coronary artery for the subject from the two-dimensional ordered point clouds of the frames is formed. Observed contrast motion caused by the contrasting agent onto the reconstructed coronary artery is mapped, the reconstructed coronary artery thereby providing a three-dimensional model of the artery of the subject during the cardiac catheterization.

Optimum treatment planning during coronary intervention by simultaneous simulation of a continuum of outcomes

A method for imaging a coronary arterial system of an individual includes releasing, using an actuator, pulses of a radio-opaque dye into a coronary arterial tree of the individual. The method further includes obtaining, using an image capture device, a sequence of invasive coronary x-ray angiogram images over time of the pulses of the radio-opaque dye. The method also includes tracking, using a processor, the pulses through the sequence of invasive coronary x-ray angiogram images and locating the pulses on a three dimensional (3D) structural model of the coronary arterial system to generate a three dimensional (3D) functional model of the coronary arterial system that shows a trajectory of the dye as it flows through different arterial branches.

Fluid-injector for a simultaneous anatomical and fluid dynamic analysis in coronary angiography

A catheter including a monitoring body and a pair of markers disposed on the monitoring body, each marker of the pair of markers encircling the monitoring body, wherein the pair of markers are configured to indicate, through their appearance from a given point of view, an orientation of the monitoring body.

Intravascular catheter including markers

A method and system are provided. The method includes performing, by at least a computer processing system having a hardware processor, a particulate mapping process to predict particulate exposure at a target location based on an estimated particulate source, an estimated particulate source output, and a fine-grained weather forecast for the target location. The performing step includes estimating the target location using a fine-grained weather hindcast and inverse modelling. The performing step further includes generating observations of particulate exposure for one or more specific particulates, using a set of particulate sensors.

Personalized particulate matter exposure management using fine-grained weather modeling and optimal control theory

Apparatus for supporting personalized coronary stents

Personalized coronary stent methods

A system for estimating fractional flow reserve (FFR) includes a front end application to receive image frames from an imaging system to develop a model of a vasculature system based on an observed concentration time profile at locations within the model using contrast dye in the vasculature system and movement of the vasculature system. A graphics processing unit is configured to represent a computed concentration time profile in the vasculature system using a Lattice-Boltzmann Method (LBM) to generate a representation of the vasculature system. A dynamic controller tunes a velocity field based on a mismatch between the observed concentration time profile and the computed concentration time profile at the locations within the model to obtain a best estimate of the velocity field to perform a FFR measurement.

Real-time cloud-based virtual fractional flow reserve estimation

A method for analyzing acoustic/elastic waves to determine subsurface structure of the earth includes receiving a plurality of observations of a seismic acoustic/elastic wave-field from a plurality of sensors; generating a plurality of Bernstein grids of differing resolutions; calculating a data misfit of the plurality of observations with respect to an initial subsurface structure model defined in terms of conic combinations of Bernstein polynomials on a lowest resolution Bernstein grid, and mapping the data misfit from the Bernstein grid onto a Lagrangian grid; updating the subsurface structure model by minimizing the data misfit between the plurality of observations and observations obtained by a simulation; increasing resolution of the Bernstein grid and recomputing the updated subsurface structure model on the increased resolution Bernstein grid; and mapping the recomputed subsurface structure model onto the Lagrangian grid.

Multi-scale manifold learning for full waveform inversion

An embodiment of the invention receives by an interface a retinal image from a patient, and identifies by a feature extraction device vessel fragments in the retinal image. The vessel fragments include at least a portion of a major vessel and at least a portion of a branch connected to a major vessel. A processor computes estimated blood flow velocities in the vessel fragments with a blood flow velocity estimation model and determines actual blood flow velocities in the vessel fragments. An analysis engine compares the actual blood flow velocities in the vessel fragments to the estimated blood flow velocities in the vessel fragments. The analysis engine detects a candidate plaque affected vessel fragment when the estimated blood flow velocities in the vessel fragments differs from the actual blood flow velocities in the vessel fragments by a predetermined amount.

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Melbourne, Australia

Stephen Michael Moore