Ge Precision Healthcare LLC

General Electric Company

Ge Medical Systems Global Technology Company, LLC

Ge Medical Systems Global Technology, LLC

Ramesh Venkatesan

Rajagopalan Sundaresan

Anthony Tienhuan Vu

Pinaki Ghosh

Harsh Kumar Agarwal

Ananthakrishna Madhyastha

Preethish M Kumar

Ashok Kumar P Reddy

Robert Steven Stormont

Victor Taracila

Fraser John Laing Robb

Ersin Bayram

Jana Michelle Vincent

Charles Robert Michelich

Ravi Jaiswal

Kavitha Manickam

Vignesh Singh

Anasuya Mohan Rao

Arun Balasubramanian

Rakesh Shrikant Shevde

Emily Rose Long

Sudhir Ramanna

Sajith Rajamani

Nitin Jain

Rajdeep Das

Vijay Shivalingappa Nimbargi

Ravi Bhardwaj

Imam Ahmed Shaik

Prakruthi Jakathe

Rakesh Kumar Gupta

Ritika Uppal Mukherjee

Krishnan Varadarajan

Amjad Jabbar

Chandan Ramaswamy Atreya

Tisha Ahraham

Ravi Hedge

A method includes obtaining k-space data acquired by an MRI scanner from a single channel body coil utilizing a multi-shot EP-DWI pulse sequence and sampling the k-space data for a plurality of shots so that for each shot both a central k-space is fully sampled to form a central calibration region and an outer k-space is partially sampled by a factor equal to a number of shots. The method includes reconstructing an initial fully sampled k-space estimate for each shot utilizing both partial Fourier constant sampling and projection on convex sets reconstruction, wherein the plurality of shots is treated as a plurality of channels for filling in missing k-space for a respective shot. The method includes utilizing a low-rank regularization algorithm in an iterative manner to generate a reconstructed image for each shot, wherein the initial fully sampled k-space estimate for each shot is utilized as an initial guess.

System and method for multi-shot variable auto-calibrating reconstruction for single channel diffusion weighted magnetic resonance imaging using low rank

A magnetic resonance (MR) acquisition acceleration method is provided. The method includes, for each acquisition of a plurality of acquisitions, generating an excitation radio frequency (RF) pulse that excites a plurality of slices, applying, to a subject by an MR system, the excitation RF pulse, and acquiring MR signals of the plurality of slices. A number of slices in the plurality of slices is not a power of two, wherein generating an excitation RF pulse further includes modulating a base excitation RF pulse with a different modulation function during each acquisition. A number of acquisitions is equal to the number of slices, and MR signals from each acquisition are algebraic combinations of MR signals of individual slices. The method also includes reconstructing MR images of individual slices based on the MR signals from the plurality of acquisitions, and outputting the reconstructed images of the individual slices.

Systems and methods of simultaneous multi-slice acquisition in magnetic resonance imaging

A magnetic resonance (MR) imaging acceleration method is provided. The method includes applying, by an MR system, a pulse sequence having a k-space trajectory of a plurality of blades being rotated in k-space, each blade including a plurality of views, wherein the k-space trajectory has an undersampling pattern in the k-space. The method also includes receiving k-space data of a subject acquired by the pulse sequence, reconstructing MR images of the subject based on the k-space data using compressed sensing, and outputting the reconstructed images.

Systems and methods of accelerated propeller magnetic resonance imaging

An RF receiving coil assembly for a magnetic resonance imaging system includes a flexible enclosure. The RF coil assembly also includes an RF coil enclosed within the flexible enclosure. The RF coil includes a plurality of loops, each loop of the plurality of loops having a same perimeter.

RF receiver coil with equal perimeter loops

Image enhancement systems and methods with variable number of excitation (NEX) acquisitions accelerated using compressed sensing for magnetic resonance (MR) imaging are provided. The MR system comprises a body coil adapted to emit electromagnetic waves onto the anatomy of interest and receive the signals emitted from the anatomy of interest. The system comprises variable number of excitations (NEX) based compressed sensing by acquisition of different points in k-space using the body coil. A first neural network comprising an image enhancement module is provided to reconstruct the body coil images that provides a high-quality image. The high-quality image is stored in an image database. A processor is configured to connect the image database to a second neural network that is a deep learning network trained to assess the image quality and provide feedback to the processor and the first neural network.

Image enhancement with variable number of excitation (NEX) acquisitions accelerated using compressed sensing

Methods and systems for addressing malfunction of a medical imaging device are disclosed. The method includes classifying a type of an image artifact in a medical image acquired by the medical imaging device by using a trained machine learning model. The method also includes analyzing system data associated with acquisition of the medical image to identify one or more system parameters that might have contributed to the type of image artifact and providing an action for addressing the image artifact based on the identified one or more system parameters.

Machine learning based method and system for analyzing image artifacts and imaging system failure

The present invention provides an in-vitro method for detecting the presence of a target substance in a biological sample by magnetic resonance, the method comprising: a) providing a mixture comprising a biological sample and a plurality of magnetic nanoparticles, wherein the magnetic nanoparticles comprise a binding agent capable of binding the target substance when the target substance is present in the biological sample; and b) determining a Trelaxation time corresponding to magnetic nanoparticles that are bound to the target substance (T) in the sample; wherein Tdiffers from the Trelaxation time corresponding to the magnetic nanoparticles that are not bound to the target substance (T), and wherein Tis determined without physically separating magnetic nanoparticles that are bound to the target substance from the magnetic nanoparticles that are not bound to the target substance.

In-vitro magnetic resonance detection of a target substance without separating bound magnetic nanoparticles from unbound magnetic nanoparticles

A method for acquiring magnetic resonance (MR) data for a three-dimensional (3D) dynamic study includes partitioning a k-kplane with a plurality of views into an inner region and a plurality of outer regions. The inner region includes a set of views in a central region of the k-kplane and each outer region includes a plurality of views outside of the central region of the k-kplane. The method also includes partitioning each outer region into a plurality of radial fan beam segments, defining a first view ordering for the inner region and defining a second view ordering for each outer region. Once the k-kplane is partitioned and the view orderings are defined, MR data is acquired for the set of views in the inner region and for all of the views in each of the outer regions in an alternating acquisition order where the set of views in the inner region are acquired more frequently than the views in each of the outer regions. At least one MR image is generated based on the acquired MR data.

Method and apparatus for view ordering of magnetic resonance imaging data for dynamic studies

A method for generating a susceptibility (or T2*) weighted magnetic resonance (MR) image includes defining a pulse sequence having a plurality of gradient echoes and acquiring MR data for each of the plurality of gradient echoes. A weighting function is applied to image data for each gradient echo such as MR data (e.g., k-space data) or magnitude images associated with each gradient echo. A susceptibility weighted image is generated by combining the image data for each gradient echo based on at least the application of the weighting function.

Method and apparatus for generating T2* weighted magnetic resonance images

A method of differentiating tissues in Magnetic Resonance Imaging (MRI) comprising applying a Magnetization Transfer (MT) pre-pulse in combination with the Diffusion Weighted Imaging (DWI) pulse sequence to obtain an image of the tissue under evaluation. Analysis maps and/or measurements are generated from the obtained image, from which values representative of the macromolecular content are computed for obtaining tissue differentiation.

Method for differentiating tissues in magnetic resonance imaging

The present invention provides a system, method and computer program product for improving quality of images. The pixels of the input image are used to generate two lists of pixels based on two different scale space values. Thereafter, the two pixels lists are processed to obtain an output image with improved quality.

Systems and methods for optimized region growing algorithm for scale space analysis

Optimized region growing algorithm for scale space analysis

An imaging apparatus particularly suitable for nuclear magnetic imaging has a transmitter coil generating a plurality a first rf pulse and a second rf pulse having a repetition time therebetween. A first gradient coil is used to generate a first gradient waveform substantially centered within the repetition time. A second gradient is used to generate a second gradient waveform substantially centered within the repetition time. A receiver coil receives a resonance signal substantially centered within the repetition time. A controller is coupled to the receiver coil and forms an image in response to said resonance signal.

Method for coherent steady-state imaging of constant-velocity flowing fluids

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Bengaluru, India

Ramesh Venkatesan