Daniel J Weller

US Patent:

20130088225, Apr 11, 2013

Filed:

Sep 14, 2012

Appl. No.:

13/615785

Inventors:

Daniel Weller - Ann Arbor MI, US
Leo Grady - Millbrae CA, US
Lawrence Wald - Cambridge MA, US
Vivek K Goyal - Cambridge MA, US

International Classification:

G01R 33/341
G01R 33/58

US Classification:

324307, 324322

Abstract:

A system for parallel image processing in MR imaging comprises multiple MR imaging RF coils for individually receiving MR imaging data representing a slice of patient anatomy. An MR imaging system uses the multiple RF coils for acquiring corresponding multiple image data sets of the slice. An image data processor comprises at least one processing device conditioned for, deriving a first set of weights for generating a calibration data set comprising a subset of k-space data of composite image data representing the multiple image data sets. The at least one processing device uses the calibration data set in generating a first MR image data set, deriving a second set of weights using the calibration data set and the generated first MR image data set and uses the second set of weights in generating a second MR image data set representing a single image having a reduced set of data components relative to the first composite MR image data set.

US Patent:

20130207652, Aug 15, 2013

Filed:

Oct 3, 2012

Appl. No.:

13/633908

Inventors:

Daniel Weller - Ann Arbor MI, US
Leo Grady - Millbrae CA, US
Lawrence Wald - Cambridge MA, US
Vivek K. Goyal - Cambridge MA, US

International Classification:

G01R 33/341
G01R 33/58

US Classification:

324309, 324322

Abstract:

An MR imaging system uses multiple RF coils for acquiring corresponding multiple image data sets of a slice or volume of patient anatomy. An image data processor comprises at least one processing device conditioned for, deriving a first set of weights for weighted combination of k-space data of the multiple image data sets for generating a calibration data set comprising a subset of k-space data of composite image data representing the multiple image data sets. The image data processor uses the calibration data set in generating a first MR image data set, deriving the parameters of a probability distribution in response to the first set of weights and the first MR image data set and deriving a second set of weights and second MR image data set together using the probability distribution.