Image Processing • Medical Imaging • Mri • Signal Processing • Medical Devices • Biomedical Engineering • Algorithms • Pattern Recognition • Product Development • R&D • Dicom • Pacs • Digital Imaging • Image Analysis • Healthcare • Radiology • Cross Functional Team Leadership • Clinical Research • Physics • Software Development • Statistics • Bioinformatics • Management • Research and Development • Picture Archiving and Communication System
Interests
Children • Education • Poverty Alleviation • Science and Technology • Human Rights • Health
Industries
Medical Devices
Us Patents
System And Method Of Angular Elliptic Centric View Ordering For 3D Mr Acquisitions
Ersin Bayram - Delafield WI, US Charles R. Michelich - Waukesha WI, US Anthony T. Vu - Waukesha WI, US
Assignee:
General Electric Company - Schenectady NY
International Classification:
G01V 3/00
US Classification:
324307, 324300
Abstract:
A magnetic resonance imaging (MRI) apparatus includes an MRI system having a plurality of gradient coils positioned about a bore of a magnet. An RF transceiver system and an RF switch are controlled by a pulse module to transmit and receive RF signals to and from an RF coil assembly to acquire MR images. The MRI apparatus also includes a computer programmed to calculate a cost for each point to be acquired in k-space, acquire MR data based on the calculated cost for each point, and generate an MR image using the acquired MR data.
Method And Apparatus For Acquiring Magnetic Resonance Imaging Data
Ersin Bayram - Delafield WI, US Charles R. Michelich - Waukesha WI, US Anthony T. Vu - Waukesha WI, US Reed F. Busse - Madison WI, US
Assignee:
General Electric Co. - Schenectady NY
International Classification:
G01V 3/00
US Classification:
324309, 324307
Abstract:
A multi-shot three-dimensional (3D) magnetic resonance imaging (MRI) data view-ordering strategy for uniform or variable density k-space sampling schemes is presented. The k-kplane is partitioned into multiple wedge-shaped “blades” (or radial fan beams). The angular size of individual blades may be adjusted according to the desired number of views for each blade. Each blade includes views near the origin that contain low-frequency information about the imaged object such that views having the most desirable characteristics may be used to fill the central portions of k-space.
Method And Apparatus For View Ordering Of Magnetic Resonance Imaging Data For Dynamic Studies
Vijay Shivalingappa Nimbargi - Bangalore, IN Ramesh Venkatesan - Bangalore, IN Ersin Bayram - Delafield WI, US Anthony Tienhuan Vu - Waukesha WI, US Charles Robert Michelich - Waukesha WI, US
Assignee:
General Electric Company - Schenectady NY
International Classification:
G01V 3/00
US Classification:
324309
Abstract:
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.
Anthony Tienhuan Vu - Waukesha WI, US Wei Sun - Waukesha WI, US Ersin Bayram - Delafield WI, US
Assignee:
General Electric Company - Schenectady NY
International Classification:
G01V 3/00
US Classification:
324307, 324309
Abstract:
Methods and systems are provided for modifying a pulse sequence. In one embodiment, a determination is made whether an estimated peripheral nerve stimulation (PNS) associated with a pulse sequence exceeds a PNS limit. If the estimated PNS exceeds the PNS limit, a slew rate associated with one or more axes of the pulse sequence may be reduced and the maximum gradient amplitudes for each axis of the pulse sequence may be adjusted. In one embodiment, adjustment of the maximum gradient amplitudes or local slew rate may be based upon a cost analysis performed on the pulse sequence.
System And Method Of Angular Elliptic Centric View Ordering For 3D Mr Acquisitions
Manojkumar Saranathan - Rochester MN, US Ersin Bayram - Delafield WI, US Dan W. Rettmann - Rochester MN, US Reed F. Busse - Madison WI, US
Assignee:
General Electric Company - Schenectady NY
International Classification:
G01V 3/00
US Classification:
324309, 324307
Abstract:
A method of magnetic resonance (MR) imaging includes segmenting a k-kplane comprising a plurality of encoding points into a plurality of annular segments. For each annular segment, a view ordering is defined based on a polar angle associated with each encoding point contained within the annular segment. MR data is acquired for the plurality of encoding points based on the view ordering for each annular segment and at least one MR image is generated using the acquired MR data.
System And Method Of Accelerated Mr Propeller Imaging
Ajeetkumar Gaddipati - Waukesha WI, US Shaorong Chang - Waukesha WI, US Ersin Bayram - Delafield WI, US Michael R. Hartley - Novi MI, US
International Classification:
G01V 3/00
US Classification:
324318
Abstract:
A system and method of MR imaging enables PROPELLER imaging to be feasibly carried out independently of slice orientation or anatomy of interest. The invention is directed to accelerated acquisition of blades of MR data that are rotated about a central region of k-space and reconstructing an image of arbitrary slice orientation from the blades of MR data that preserves contrast and reduces acceleration artifacts caused by signal amplitude variances.
System And Method For Reconstruction Using A High-Resolution Phase In Magnetic Resonance Images
- Wauwatosa WI, US Daniel V. Litwiller - Denver CO, US Arnaud Guidon - Boston MA, US Ersin Bayram - Houston TX, US Robert Marc Lebel - Calgary, CA Tim Sprenger - Sundybyberg, SE
A method for producing an image of a subject with a magnetic resonance imaging (MRI) comprises acquiring a first set of partial k-space data from the subject and generating a phase corrected image based on a phase correction factor and the first set of the partial k-space data. The method further includes transforming the phase corrected image into a second set of partial k-space data and reconstructing the image of the subject from the second set of the partial k-space data and a weighting function.
Methods And System For Selective Removal Of Streak Artifacts And Noise From Images Using Deep Neural Networks
- Wauwatosa WI, US Daniel Vance Litwiller - Denver CO, US Sagar Mandava - Atlanta GA, US Robert Marc Lebel - Calgary, CA Graeme Colin Mckinnon - Hartland WI, US Ersin Bayram - Houston TX, US
International Classification:
G06T 5/00 G06T 7/00 G06N 3/08 G16H 30/40
Abstract:
Methods and systems are provided for independently removing streak artifacts and noise from medical images, using trained deep neural networks. In one embodiment, streak artifacts and noise may be selectively and independently removed from a medical image by receiving the medical image comprising streak artifacts and noise, mapping the medical image to a streak residual and a noise residual using the trained deep neural network, subtracting the streak residual from the medical image to a first extent, and subtracting the noise residual from the medical image to a second extent, to produce a de-noised medical image, and displaying the de-noised medical image via a display device.
Ge Healthcare
Global Mr Body and Vascular Manager
Ge Healthcare Oct 2010 - Sep 2012
Body Mr Applications Development Manager
Ge Healthcare Oct 2005 - Oct 2010
Application Engineer
Wake Forest University School of Medicine Aug 2003 - Sep 2005
Instructor
Targacept, Inc. Jun 2004 - Aug 2005
Technical Consultant
Education:
Wake Forest University 1998 - 2003
Doctorates, Doctor of Philosophy, Biomedical Engineering
Wake Forest University 1999 - 2000
Master of Science, Masters, Computer Science
Bilkent University 1994 - 1998
Bachelors, Bachelor of Science, Electrical Engineering
Skills:
Image Processing Medical Imaging Mri Signal Processing Medical Devices Biomedical Engineering Algorithms Pattern Recognition Product Development R&D Dicom Pacs Digital Imaging Image Analysis Healthcare Radiology Cross Functional Team Leadership Clinical Research Physics Software Development Statistics Bioinformatics Management Research and Development Picture Archiving and Communication System
Interests:
Children Education Poverty Alleviation Science and Technology Human Rights Health
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