SCOTT B REEDER, MD PHD
Radiology at Highland Ave, Madison, WI

2012026, Oct 25, 2012

Apr 19, 2011

13/089653

Diego Hernando - Madison WI, US
Scott Brian Reeder - Middleton WI, US

G01R 33/48

324309

A method for measuring transverse relaxation rate, R*, corrected for the presence of macroscopic magnetic field inhomogeneities with a magnetic resonance imaging (MRI) system is provided. The method accounts for additional signal decay that occurs as a result of macroscopic variations in the main magnetic field, B, of the MRI system, and also mitigates susceptibility-based errors and introduction of increased noise in the R* measurements. Image data are acquired by sampling multiple different echo signals occurring at respectively different echo times. A Bfield inhomogeneity map is estimated by fitting the acquired image data to an initial signal model. Using the estimated field map, a revised signal model that accounts for signal from multiple different chemical species and for signal decay resulting from macroscopic variations in the Bfield is formed. Corrected R* values for the different chemical species are then estimated by fitting the acquired image data to the revised signal model.

7619411, Nov 17, 2009

Feb 23, 2007

11/678221

Scott Brian Reeder - Middleton WI, US

Wisconsin Alumni Research Foundation - Madison WI

G01V 3/00

324312, 324309

A method for producing images of a subject containing M spin species using a magnetic resonance imaging (MRI) system includes obtaining N k-space data matrices from N k-space data sets acquired with the MRI system using a pulse sequence with an individual associated echo time. The k-space data matrices each include corresponding data at the same plurality of k-space locations and time stamps are tracked for each k-space location. For each k-space location, a set of linear equations in k-space is solved. The set of linear equations relates corresponding data from the N k-space data matrices, echo times and time stamps to desired calculated k-space data. Calculated data in k-space which is corrected for chemical shift is produced corresponding to each k-space location and aggregated to obtain a k-space calculated data set. The k-space calculated data set is transformed to image space to obtain a corresponding image.

8527031, Sep 3, 2013

Jul 11, 2011

13/180141

Huanzhou Yu - Mountain View CA, US
Scott Brian Reeder - Middleton WI, US

Wisconsin Alumni Research Foundation - Madison WI
General Electric Company - Schenectady NY

A61B 5/05

600410, 600407, 600411, 324300, 324307, 324312, 324314, 324317

Methods are disclosed for calculating a fat fraction corrected for noise bias of one or more voxels of interest using a magnetic resonance imaging (MRI) system. A plurality of image data sets are obtained each corresponding to NMR k-space data acquired using a pulse sequence with an individual associated echo time t. A system of linear equations is formed relating image signal values to a desired decomposed calculated data vector having a component such as a water and fat combination having zero mean noise, or having a real fat component and a real water component. A fat fraction is calculated from at least one component of the decomposed calculated data vector. In another embodiment, the system of linear equations is normalized and can directly estimate a fat fraction or a water fraction having reduced noise bias.

7741842, Jun 22, 2010

Apr 20, 2007

11/738352

Charles A. McKenzie - London, CA
Scott B. Reeder - Middleton WI, US
Ann Shimakawa - Palo Alto CA, US

The Board of Trustees of the Leland Stanford Junior University - Palo Alto CA
General Electric Company - Schenectady NY
Beth Israel Deaconess Medical Center - Boston MA

G01V 3/00

324307, 324309, 324306

A method for generating a calibrated parallel magnetic resonance image is provided in a manifestation of the invention. A magnetic resonance imaging excitation is applied. A plurality of echoes at different echo times (TE) is acquired. The acquired plurality of echoes from different echo times is used to create a chemical shift corrected calibration map.

7408347, Aug 5, 2008

Sep 21, 2006

11/524838

Charles A. Mistretta - Madison WI, US
Scott Reeder - Middleton WI, US
John Perry - Madison WI, US
Oliver Wieben - Madison WI, US

Wisconsin Alumni Research Foundation - Madison WI

G01V 3/00

324307

A series of image frames are acquired in which an MR parameter such as echo time (TE) is changed and the resulting image frames are employed to produce an MRS image of a metabolite. Scan time is reduced without sacrificing image quality by reconstructing a composite image from data acquired for a plurality of the image frames and using a highly constrained image reconstruction method with the composite image to produce each image frame.

8611624, Dec 17, 2013

Mar 19, 2012

13/423800

Aziz Hatim Poonawalla - Verona WI, US
Scott Reeder - Middleton WI, US

Wisconsin Alumni Research Foundation - Madison WI

G06K 9/00

382128, 128922, 378 4

A system and method for calculating a quantitative metric of adipose tissue using a magnetic resonance imaging (MRI) system are provided. The MRI system is used to acquire k-space data by sampling echo signals that are formed at a plurality of different echo times. From the acquired k-space data, a fat-concentration map, such as a fat-fraction map is produced. A maximum fat-concentration value is estimated from the fat-concentration map, and is used to threshold the fat-concentration map to produce an adipose mask. From the adipose mask, a quantitative metric of adipose tissue can be calculated.

7375522, May 20, 2008

Aug 28, 2006

11/510896

Scott B. Reeder - Middleton WI, US

Wisconsin Alumni Research Foundation - Madison WI

G01V 3/00

324307, 324309

A water and fat image are acquired using a pulse sequence in which NMR signals for one image data set are acquired with a readout gradient of one polarity and NMR signals for the other image data set are acquired with a readout gradient of the opposite polarity. A misalignment of fat signals caused by chemical shift is corrected by calculating separate water and fat image data sets in k-space and then transforming them to real space images.