Search Results - peter+kellman

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Methods and Systems for Automatically Determining Magnetic Field Inversion Time of a Tissue Species

This technology includes a computer-implemented method for determining magnetic field inversion time of a tissue species using a T1-mapping image, information about the region of interest, and a tissue classification algorithm. This method includes T1-mapping image comprising a plurality of T1 values within an expected range of T1 values for the tissue...

Published: 8/12/2024 | Inventor(s): Bruce Spottiswoode, Xlaoguang Lu, Xiaoming Bi, Christopher Glielmi, Andreas Greiser, Hui Xue, Peter Kellman

Keywords(s):

Category(s): Application > Diagnostics, Application > Software / Apps, Collaboration Sought > Licensing, ResearchProducts > Computational models/software, TherapeuticArea > Cardiology

Free Breathing Motion Corrected Pixel-wise MRI Myocardial T1 Parameter Mapping for Clinical Cardiac Imaging

This technology includes a method for performing cardiac imaging without the need for the patient to hold their breath. Free breathing pixel-wise myocardial T1 parameter mapping includes performing a free-breathing scan of a cardiac region at a plurality of varying saturation recovery times to acquire a k-space dataset; generating an image dataset based...

Published: 8/12/2024 | Inventor(s): Bruce Spottiswoode, Peter Kellman

Keywords(s):

Category(s): Application, Application > Medical Devices, Application > Software / Apps, ResearchProducts > Computational models/software, ResearchProducts > Research Equipment, TherapeuticArea > Cardiology

General-purpose Deep Learning Image Denoising Based on Magnetic Resonance Imaging Physics

This technology includes a novel method to train deep learning convolution neural network model to improve the signal-noise-ratio for the magnetic resonance (MR) imaging. The novelty lies on the fact that actual MR imaging physics information is used in the deep learning training. The resulting model achieves significant signal-to-noise ratio (SNR)...

Published: 4/8/2024 | Inventor(s): Hui Xue, Peter Kellman

Keywords(s):

Category(s): Application > Software / Apps, Collaboration Sought > Licensing, ResearchProducts > Computational models/software

Phase Sensitive Motion Correction and T1 Mapping for Cardiovascular Magnetic Resonance Imaging

This technology includes a method of correcting the motion during T1 mapping using cardiovascular magnetic resonance imaging (MRI). Ischemic heart disease is the leading cause of death in the United States. The lack of blood supply among myocardial tissue, especially for scar regions, changes the T1 relaxation value of heart muscles. The non-invasive...

Published: 8/12/2024 | Inventor(s): Peter Kellman, Hui Xue

Keywords(s):

Category(s): Application > Medical Devices, Application > Software / Apps, Collaboration Sought > Licensing, ResearchProducts > Computational models/software, TherapeuticArea > Cardiology

Real Time Medical Image Processing Using Cloud Computing

The invention pertains to a system for reconstructing images acquired from MR and CT scanners in a robust Gadgetron based cloud computing system. A hardware interface connects clinical imaging instruments (e.g., MR or CT scanners) with a cloud computing environment that includes image data reconstruction and processing software not limited by the computational...

Published: 7/25/2024 | Inventor(s): Hui Xue, Peter Kellman, Michael Hansen

Keywords(s): AD1XXX, AD2XXX, AD3XXX, Cloud, Computing, CT, DATA, Gadgetron, IMAGING, Listed LPM Shmilovich as of 4/15/2015, Magnetic Resonance, MEDICAL, MRI, Post LPM Assignment Set 20150420, Pre LPM working set 20150418, Processing, Raw, REAL-TIME, XFXXXX, XJXXXX

Category(s): Collaboration Sought > Collaboration, Application > Software / Apps, ResearchProducts > Computational models/software, Application > Medical Devices, Application > Non-Medical Devices, Application > Diagnostics

Method and Apparatus to Improve an MRI Image

The invention is a method for improving image quality in MR imaging methods using the SENSE (SENSitivity Encoding) method, which is known to have degraded image quality due to numerical ill-conditioning (so called g-factor loss). The invention improves the numerical conditioning by means of an adaptive regularization (matrix conditioning), thereby improving...

Published: 7/25/2024 | Inventor(s): Peter Kellman, Elliot Mcveigh

Keywords(s): AA3B1X, AA3BXX, AA3XXX, AAXXXX, ADXXXX, AXXXXX

Category(s): Collaboration Sought > Licensing

Generalized MRI Artifact Reduction Using Array Processing Method

The invention is a phased array combining method for reducing artifacts in Magnetic Resonance (MR) imaging. The method uses a constrained optimization that optimizes signal-to-noise subject to the constraint of nulling ghost artifacts at known locations. The method is effective in reducing or canceling artifacts that arise in a wide variety of MR...

Published: 7/25/2024 | Inventor(s): Peter Kellman, Elliot Mcveigh

Keywords(s): AAXXXX, ACXXXX, ADXXXX, AXXXXX

Category(s): Collaboration Sought > Licensing

Adaptive Sensitivity Encoding Incorporating Temporal Filtering (TSENSE)

The invention is an accelerated magnetic resonance imaging method developed to reduce the total imaging time for gated, segmented cine imaging or to increase the frame rate when imaging dynamic activity, such as heart motion or brain activity. The invention combines temporal filtering (e.g., the UNFOLD method) with a known spatial sensitivity encoding...

Published: 7/25/2024 | Inventor(s): Peter Kellman, Elliot Mcveigh

Keywords(s): AA3B1X, AA3BXX, AA3XXX, AAXXXX, AC2XXX, ACXXXX, AXXXXX

Category(s): Collaboration Sought > Licensing