Marquette University Wisconsin - Dr Daniel Rowe
 
 
 

Iain Bruce Doctoral Student Marquette University Computational Sciences

Iain P. Bruce, MS
Ph.D. Candidate MU 

 

 

 

 

Iain P. Bruce, MS

Ph.D. Candidate in Computational Sciences


Department of Mathematics, Statistics, and Computer Science
Marquette University

Research Assistant in Functional Magnetic Resonance Image Analysis Lab


357 Cudahy Hall
Marquette University
Milwaukee, WI 53201-1881


Phone: 414-288-6347
E-mail: iain.bruce{at}marquette.edu

Curriculum Vitae

Education

    2009 - 2014    (expected) Ph.D. Student in Computational Sciences, Marquette University, Milwaukee, WI

      • Advisor: Dr. Daniel B. Rowe
      • Dissertation: Determination of Correlations Induced by the SENSE and GRAPPA pMRI Models with an Application to MRI RF Coil Design. 

    2009 - 2011     M.S. in Computational Sciences, Marquette University, Milwaukee, WI

      • Advisor: Dr. Daniel B. Rowe
      • Thesis: A Statistical Examination of the SENSE Reconstruction via an Isomorphism Representation.

    2007 - 2008     M.Sc. in Advanced Mechanical Engineering (with Merit), Imperial College London, UK

      • Advisor: Dr. Andy Hayes
      • Thesis: Aircraft Wake Development

2003-2007       B.S. in Physics (with Honors), Principia College, Elsah, IL

2003-2007       B.S. in Mathematics (with Honors), Principia College, Elsah, IL
Experience

Teaching Experience
Department of Mathematics, Statistics, and Computer Science, Marquette University, Milwaukee, WI.

Instructor:
• 01/2014 – 05/2014: Modern Elementary Statistics
• 01/2013 – 05/2013: Modern Elementary Statistics

Teaching Assistant:
• 08/2013 – 12/2013: Modern Elementary Statistics & Theory of Probability
• 08/2012 – 12/2012: Modern Elementary Statistics & Theory of Probability
• 08/2011 – 12/2011: Modern Elementary Statistics
• 08/2010 – 05/2011: Modern Elementary Statistics

Research Experience
Department of Mathematics, Statistics, and Computer Science, Marquette University, Milwaukee, WI.

    • 06/2013 – 08/2013: Computational Sciences Summer Research Program (CSSRP)
    • 06/2012 – 08/2012: Research Assistant, Marquette Regular Research Grant (Dr. Daniel B. Rowe)
    • 01/2012 – 05/2012: Research Assistant
    • 06/2011 – 08/2011: Computational Sciences Summer Research Program (CSSRP)
    • 06/2010 – 08/2010: Computational Sciences Summer Research Program (CSSRP)
    • 09/2009 – 05/2010: Research Assistant
Honors / Affiliations
  • International Society for Magnetic Resonance in Medicine, 2012-Present

  • American Statistical Association, 2010-Present

  • Sigma Pi Sigma – The Physics Honors Society, inducted in 2006
Research
  • Quantifying the statistical implications of the SENSE and GRAPPA parallel MRI reconstruction models in fcMRI data.

  + research description

An MRI scanner’s inability to instantly acquire the spatial frequency spectrum of an object places constraints on both the spatial and temporal resolution achievable in data acquired for functional connectivity MRI (fcMRI) studies. To accelerate data acquisition, parallel MRI models such as SENSE and GRAPPA use multiple receiver coils placed around the object to acquire sub-sampled arrays of spatial frequencies. This is done by omitting rows of frequency measurements in the phase encoding direction, and results in inverse Fourier reconstructed coil images that appear to be folded over on themselves. Parallel MRI models exploit the overlap of coil magnetic field sensitivity profiles to unfold the folded coil images through spatial localization. In the SENSE model, the folded coil images are unfolded and combined into a single image through a complex-valued weighted least squares estimation, while the GRAPPA model performs an interpolation of missing spatial frequency values prior to the inverse Fourier reconstruction. A previously unexplored consequence of the unfolding process performed by either model is that an artificial correlation of no biological origin is induced between the regions of the object that were previously folded on one another. To observe these correlations, I have developed a linear isomorphism that represents each model in terms of a series of matrix operators. With the models represented in this fashion, a mathematically equivalent reconstruction can be performed on the acquired data, and the degree to which the mean and covariance of the acquired data is changed can be quantified both precisely and directly. As the estimation of correlations between various brain regions is the mechanism for determining functional connectivity in the brain, I have verified that the artificial correlations induced by the SENSE and GRAPPA models can corrupt the conclusions drawn in fcMRI studies, where regions of the brain can appear to be either correlated or uncorrelated when they are not. My current research therefore aims to develop new parallel MRI models that can reap the benefits of accelerated acquisition schemes without suffering from the statistical consequences that the reconstruction models impose.

  • Aircraft Wake Development: A theoretical analysis of the three dimensional vortex sheet
Publications

 

In Preparation

  • Rowe DB, Bruce IP, Nencka AS, Jesmanowicz A, Hyde JS. Separation of Parallel Encoded Complex-valued Slices (SPECS) from a Single Complex-Valued Aliased Image. In Preparation, 2014.
  • Bruce IP, Nencka AS, Rowe DB. Separation of multiple complex-valued slice images from a single complex-valued image of multicoil multiband encoding of several slices. In Preparation, 2014

 

Abstracts

  • Bruce IP, Muftuler LT, Rowe DB. Spatial Normalization Can Morph RF Coils into Brain Region Optimized Geometries for fcMRI Studies. Proc. Intl. Soc. Magn. Reson. Med., Milan, Italy, (Accepted) (2014).
  • Bruce IP, Muftuler LT, Rowe DB. SENSE Induced Correlations are used to Optimize RF Coil Design for Specific fcMRI Studies. Proc. Intl. Soc. Mag. Reson. Med. 21 (2013).

  • Bruce IP, Karaman, MM, Rowe DB. Artificial Correlations Induced by SENSE and GRAPPA Corrupt fcMRI Conclusions. Proc. Intl. Soc. Mag. Reson. Med. 21 (2013).

  • Karaman, MM, Bruce, IP, Rowe, DB. Incorporation of Grey Matter T1 and T2* Improves Brain Activation Statistics in fMRI. Proc. Intl. Soc. Mag. Reson. Med. 21 (2013).

  • Rowe DB, Bruce IP: Processing Induced Voxel Correlation in SENSE FMRI Via the AMMUST Framework. Proc. Second Biennial International Conference on Resting State Connectivity, Medical College of Wisconsin, Milwaukee, Wisconsin, F052, 2010. http://www.restingstate.com/
Conferences and Invited Talks
  • Bruce, IP: Using the G-factor and SENSE Induced Correlations for Optimizing fcMRI Study Specific RF Coil Design. Workshop on Medical Image Analysis, University of Wisconsin, Madison, WI, 2013. http://brainimaging.waisman.wisc.edu/

  • Bruce IP. Observing Spatial Correlations Induced by the SENSE and GRAPPA Parallel MRI Image Reconstruction Models Using an Isomorphic Framework. Workshop on Brain Image Analysis, University of Wisconsin, Madison, Wisconsin, 2012. http://brainimaging.waisman.wisc.edu/

  • Bruce, IP: A Statistical Investigation of the Complex-Valued GRAPPA Parallel MRI Reconstruction Model through a Real-Valued Isomorphic Representation. Department of Mathematics, Statistics and Computer Science, Marquette University, Milwaukee, WI, 2011.

  • Rowe DB, Bruce IP: Processing Induced Voxel Correlation in SENSE FMRI Via the AMMUST Framework. Proc. Second Biennial International Conference on Resting State Connectivity, Medical College of Wisconsin, Milwaukee, Wisconsin, 2010. http://www.restingstate.com/

  • Bruce, IP: An Adjustment to SENSE Image Reconstruction through a SENSE Isomorphism Theoretical Image Voxel Estimation (SENSE-ITIVE) Model: Statistical Properties and Implications. Department of Mathematics, Statistics and Computer Science, Marquette University, Milwaukee, WI, 2010.

  • Bruce IP: The SENSE-Isomorphism Theoretical Image Voxel Estimation (SENSE-ITIVE) Model for Reconstruction and Observing Statistical Properties of Reconstruction Operators. Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, 2010.


 

 

 

 

 

 

 

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