Scott David Wollenweber - Waukesha WI, US Alexander Ganin - Whitefish Bay WI, US Joan M. Hanson - Cambridge WI, US William J. Bridge - Delafield WI, US Kathryn M. Littlejohn - Wales WI, US Ling Sun - Brookfield WI, US
Assignee:
GENERAL ELECTRIC COMPANY - Schenectady NY
International Classification:
A61B 5/055 A61B 6/00
US Classification:
600411
Abstract:
A method for performing an examination of a patient using a dual-modality imaging system includes accessing a list that includes a magnetic resonance imaging (MRI) examination protocol to be used to perform a predetermined MRI examination, the examination protocol including a plurality of MRI protocol actions, receiving an input selecting at least one of the MRI protocol actions, scanning the patient using the MRI examination protocol, scanning the patient using a positron emission tomography (PET) imaging system to acquire PET data, and marking the PET data, using a first visual indication, to indicate the selected MRI protocol action. An imaging system and a non-transitory computer readable medium are also described herein.
Systems And Methods For Predicting B1+ Maps From Magnetic Resonance Calibration Images
Methods and systems are provided for predicting B field maps from magnetic resonance calibration images using deep neural networks. In an exemplary embodiment a method for magnetic resonance imaging comprises, acquiring a magnetic resonance (MR) calibration image of an anatomical region, mapping the MR calibration image to a transmit field map (B field map) with a trained deep neural network, acquiring a diagnostic MR image of the anatomical region, and correcting inhomogeneities of a transmit field in the diagnostic MR image with the B field map. Further, methods and systems are provided for collecting and processing training data, as well as utilizing the training data to train a deep learning network to predict B field maps from MR calibration images.
Methods And Systems For Estimating Transmit Attenuation For A Magnetic Resonance Imaging Scan
- Schenectady NY, US Ling Sun - Brookfield WI, US Wei Sun - Brookfield WI, US
International Classification:
G01R 33/58 G01R 33/24 G01R 33/565 G01R 33/46
Abstract:
Various methods and systems are provided for correcting transmit attenuation of an amplifier of a transmit radio frequency (RF) coil for use in a magnetic resonance imaging (MRI) system. In one example, a method includes setting a reference value of transmit attenuation for an amplifier of a transmit radio frequency (RF) coil, acquiring a two-dimensional Bfield map with the transmit attenuation set at the reference value, determining a mean flip angle from the Bfield map, determining a transmit attenuation correction value based on a prescribed flip angle and the mean flip angle, correcting the reference value of transmit attenuation with the transmit attenuation correction value to obtain a final value of transmit attenuation, and performing an MRI scan with the transmit attenuation set at the value.
Methods And Systems For Coil Selection In Magnetic Resonance Imaging
- Schenectady NY, US Dashen Chu - Hartland WI, US Charles Michelich - Brookfield WI, US Anja Kammeier - Milwaukee WI, US Dawei Gui - Sussex WI, US Zachary Slavens - New Berlin WI, US Brent Robinson - Madison WI, US Ling Sun - Brookfield WI, US
International Classification:
G01R 33/36 G01R 33/44 G01R 33/58 G01R 33/00
Abstract:
Various methods and systems are provided for selecting radio frequency (RF) coil array for magnetic resonance imaging (MRI). In one embodiment, the method comprises grouping the plurality of coil elements into receiving elements groups (REGs) according to REGs information, generating channel sensitivity maps for the plurality of coil elements, generating REG sensitivity maps based on the REGs information and the channel sensitivity maps, selecting one or more REGs based on the REG sensitivity maps and a region of interest (ROI), and scanning the ROI with the coil elements of the one or more selected REGs being activated and the coil elements not in any selected REGs being deactivated. In this way, coil arrays may be automatically selected for improved image quality of the MRI.
Method And Systems For Coil Selection In Magnetic Resonance Imaging
- Schenectady NY, US Eric Printz - Oconomowoc WI, US Ling Sun - Brookfield WI, US Anja Kammeier - Milwaukee WI, US Charles Michelich - Brookfield WI, US Zachary Slavens - New Berlin WI, US
International Classification:
G01R 33/36 G01R 33/58 G01R 33/44 G01R 33/00
Abstract:
Various methods and systems are provided for selecting coil elements of a plurality of coil elements of a radio frequency (RF) coil array for use in a magnetic resonance imaging (MRI) system. In one example, a method includes grouping the plurality of coil elements into receive elements groups (REGs) according to REGs information, generating channel sensitivity maps for the plurality of coil elements, generating REG sensitivity maps based on the REGs information and the channel sensitivity maps, labeling each REG as either selectable or not selectable based on the REG sensitivity maps, selecting one or more REGs from the selectable REGs based on the REG sensitivity maps and a region of interest (ROI), and scanning the ROI with the coil elements in the one or more selected REGs being activated and the coil elements not in any selected the other REGs being deactivated.
Laura Saunder (1987-1991), Tameka Francis (1980-1984), Gail Fugate (1976-1980), Bayn Bunce (1974-1978), Lloyd Snow (1967-1971), An Ling Sun (1981-1985)
Googleplus
Ling Sun
Education:
Free University of Berlin - Mathematik, Xidian University - Computer Science