Fred J. Frigo, Ph.D.

Frederick.Frigo@marquette.edu

Haggerty Hall - Room 235







Classes


Learning is a process of discovery. The learning process is facilitated by traditional classroom discussions, study, and careful preparation. To the extent possible, we also incorporate research topics, teamwork and out-of-classroom perspectives into the curriculum. Learning is enhanced by getting a firsthand look at radar systems at the National Weather Service, or by examining the audio and video pathways for high-definition television signals at a local TV station, or by collecting raw data on a magnetic resonance imaging system.

EECE 4510/5510 Digital Signal Processing (Fall 2021)
COEN4830 / EECE5830 Computer Graphics (Fall 2021)
COEN4840 / EECE5840 Computer Security (Spring 2021)
EECE 4510/5510 Digital Signal Processing (Fall 2020)
COEN4840 / EECE5840 Computer Security (Spring 2020)
EECE 4510/5510 Digital Signal Processing (Fall 2019)
ELEN4320 / EECE5320 Digital Control Systems (Spring 2019)
EECE 4510/5510 Digital Signal Processing (Fall 2018)
ELEN4320 / EECE5320 Digital Control Systems (Spring 2018)
EECE 4510/5510 Digital Signal Processing (Fall 2017)
ELEN4320 / EECE5320 Digital Control Systems (Spring 2017)
EECE 4510/5510 Digital Signal Processing (Fall 2016)
EECE 4510/5510 Digital Signal Processing (Fall 2010)
EECE 6540 Digital Image Processing (Fall 2009)


Class Activities


Publications and Patents



Distance Weighted B1 Uniformity Correction for Multiple Channel Reconstruction, p.3097, ISMRM 2010
EPSI with Peak-Enhanced 2D-Capon Analysis for Prostate Studies, p.2804, ISMRM 2010
Multiple-channel EPI Phase Correction for SENSE Based Image Reconstruction, p.1365, ISMRM 2008
Partial k-space reconstruction in single-shot DW-EPI, MRM, vol. 57, no. 3, pp. 614-619, 2007
Abstract for Image Reconstruction Using Dynamic EPI Phase Correction, ISMRM 2006
Poster for Image Reconstruction Using Dynamic EPI Phase Correction, ISMRM 2006
Area-selective signal parameter estimation for 2D MRS data, JMR, vol. 183, no. 1, pp. 50-59, 2006
Spectral analysis of multichannel MRS data, JMR, vol. 175, no. 1, pp. 79-91, 2005
Abstract for MR Spectroscopy Using Multiple Receive Coils, ISMRM 2004
Poster for MR Spectroscopy Using Multiple Receive Coils, ISMRM 2004
Abstract for Using 2D Capon Analysis with MR Spectroscopy to Estimate T2*, ISMRM 2004
Poster for Using 2D Capon Analysis with MR Spectroscopy to Estimate T2*, ISMRM 2004
Two-Dimensional Spectral Estimation Techniques with Applications to Magnetic Resonance Spectroscopy, 2004
Apodization in the Slice Encoding Direction for 3D Imaging, RSNA 2003
Poster for 8-Channel Image Reconstruction using Independent Component Analysis, ISMRM 2002
Abstract for 8-Channel Image Reconstruction using Independent Component Analysis, ISMRM 2002
Abstract for Peripheral Vascular Imaging technique (Shoot and Scoot), ISMRM 2002
US Patent 7,420,370
US Patent 7,259,557
US Patent 7,102,352
US Patent 7,098,662
US Patent 6,891,371
US Patent 6,603,992
US Patent 6,564,081
US Patent 6,339,626


MATLAB


The following MATLAB source code IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.




MATLAB code to view Magnetic Resonance image in DICOM format
MATLAB code to plot frames of Magnetic Resonance raw data from a Pfile
MATLAB code to view magnitude of K-space from a Pfile
MATLAB code to view magnitude of K-space from MRS raw data (PROBE) from a Pfile
MATLAB code to view prescan parameters and coil weights from a Pfile
MATLAB code to extract raw data (Pfile) stored as DICOM image
How to store and retrieve MR raw data (Pfile) in DICOM format
MATLAB code to perform MR echo planar image (EPI) reconstruction from a Pfile (up to 24.0)
MATLAB code to perform MR echo planar image (EPI) reconstruction from a Pfile (26.0)
MATLAB code for single voxel Magnetic Resonance Spectroscopy
MATLAB code for 2D Capon/APES Magnetic Resonance Spectroscopy
MATLAB code for spline smoothing (DeBoor's algorithm)
MATLAB code for 2D Capon and APES in JMR:152 57-69 (2001)
MATLAB Central - File Exchange
GitHub for Fred J. Frigo

Personal Information


My grandfather, Louis Frigo, and his brother, Pasquale, from Trissino Italy asked their aunt to loan them some money for a great adventure. They wanted to see America and on November 11, 1913 they arrived at Ellis Island in New York. Cheesemakers by trade, they eventually made their way to the Iron Mountain, Michigan area where they started the Frigo Brothers Cheese company in Aurora, Wisconsin in the 1920s.

I worked at the Frigo Cheese factory in Lena, Wisconsin while I was in college even though the family no longer owned the company. My father, Joe Frigo, a sixth generation cheesemaker always said "To make good cheese, you need good milk." The dairy farmers of Wisconsin, and Upper Midwest provided that priceless commodity; a product of the lush alfalfa fields, abundant corn fields, and the best dairy herds in the world.

In addition to serving as an adjunct assistant professor at Marquette University, I work for GE Healthcare in the Ultrasound Imaging group. The focus of my work and research interests are Signal Processing, Image Processing, Magnetic Resonance Image Reconstruction, Magnetic Resonance Spectroscopy, Echo Planar Imaging (EPI), Diffusion Weighted EPI, functional Magnetic Resonance Imaging (fMRI) and Ultrasound Imaging.

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Last modified: Jul 15, 2021
Fred J. Frigo