Melissa Haskell

Melissa Haskell

Postdoctoral Fellow

University of Michigan

Biography

Hi! My name is Melissa and I’m a postdoc in the Electrical Engineering and Computer Science Department and the Functional Magnetic Resonance Imaging Lab at the University of Michigan working with Jeff Fessler and Doug Noll on acquisition and reconstruction methods for fMRI. My current research is supported by an NIH F32 Ruth L. Kirschstein National Research Service Award.

Before starting at Michigan, I completed my Ph.D. research at the A. A. Martinos Center for Biomedical Imaging at Massachusetts General Hospital where I was advised by Larry Wald and Stephen Cauley. My graduate research focused on retrospective motion correction for MRI using both model-based optimization and machine learning approaches. Dissertation link.

Interests

  • Magnetic Resonance Imaging
  • Image Reconstruction
  • Motion and Off-Resonance Correction
  • Machine Learning

Education

  • PhD in Biophysics, 2019

    Harvard University

  • BA in Physics, 2013

    Bowdoin College

Publications

Melissa W. Haskell, Stephen F. Cauley, Berkin Bilgic, Julian Hossbach, Daniel N. Splitthoff, Josef Pfeuffer, Kawin Setsompop, Lawrence L. Wald. Network Accelerated Motion Estimation and Reduction (NAMER): Convolutional neural network guided retrospective motion correction using a separable motion model. Magnetic Resonance in Medicine 2019.

Melissa W. Haskell, Stephen F. Cauley, Lawrence L. Wald. TArgeted Motion Estimation and Reduction (TAMER): Data Consistency Based Motion Mitigation for MRI using a Reduced Model Joint Optimization. IEEE Transactions on Medical Imaging 2018.

Fuyixue Wang, Berkin Bilgic, Zijing Dong, Mary Katherine Manhard, Ned Ohringer, Bo Zhao, Melissa Haskell, Stephen F. Cauley, Qiuyun Fan, Thomas Witzel, Elfar Adalsteinsson, Larry Wald, Kawin Setsompop. Motion-robust sub-millimeter isotropic diffusion imaging through Motion Corrected Generalized Slice Dithered Enhanced Resolution (MC-gSlider) acquisition. Magnetic Resonance in Medicine 2018.

Clarissa Zimmerman Cooley, Melissa W. Haskell, Stephen F. Cauley, Charlotte Sappo, Cristen D. Lapierre, Christopher G. Ha, Jason P. Stockmann, and Lawrence L. Wald. Design of Sparse Halbach Magnet Arrays for Portable MRI Using a Genetic Algorithm. IEEE Transactions on Magnetics 2018.

Conference Proceedings

Melissa W. Haskell, Amos A. Cao, Doug C. Noll, Jeffrey A. Fessler. Deep learning field map estimation with model-based image reconstruction for off resonance correction of brain images using a spiral acquisition. ISMRM Workshop on Data Sampling and Image Reconstruction. January 2020. Sedona, AZ. Poster Presentation. [Abstract] [Poster]

Melissa W. Haskell, Stephen F. Cauley, Berkin Bilgic, Julian Hossbach, Daniel N. Splitthoff, Josef Pfeuffer, Kawin Setsompop, Lawrence L. Wald. Network Accelerated Motion Estimation and Reduction (NAMER): Accelerating forward model based retrospective motion correction using a convolutional neural network. 27th Annual Meeting of the ISMRM. May 2019. Montreal, Canada. Oral Presentation. [Video]

Melissa W. Haskell, Stephen F. Cauley, Lawrence L. Wald. Comparing TAMER (TArgeted Motion Estimation and Reduction) reduced modeling to alternating minimization for data consistency based motion mitigation. 26th Annual Meeting of the ISMRM. June 2018. Paris, France. Poster Presentation.

Melissa W. Haskell, Stephen F. Cauley, Lawrence L. Wald. Targeted Motion Estimation & Reduction (TAMER): Data Consistency Based Motion Mitigation of In Vivo MRI. ISMRM Workshop on Motion Correction in MRI & MRS. September 2017. Cape Town, South Africa. Oral Presentation.

Melissa W. Haskell, Stephen F. Cauley, Lawrence L. Wald. Retrospective motion correction of head rotations in 2D RARE brain images using TArgeted Motion Estimation and Reduction (TAMER). 25th Meeting of the ISMRM. April 2017. Honolulu, HI. Poster Presentation.

Melissa Haskell, Stephen Cauley, Lawrence Wald. TArgeted Motion Estimation and Reduction (TAMER): Data Consistency Based Motion Mitigation using a Reduced Model Joint Optimization. 24th Meeting of the ISMRM. May 2016. Singapore. Poster Presentation.

Melissa W. Haskell, Michalina J. Gora, Robert W. Carruth, Martin Villiger, Guillermo J. Tearney. OFDI tethered capsule localization for unsedated gastrointestinal 3D imaging. SPIE Photonics West BiOS. February 2013. San Francisco, CA. Oral Presentation.

Contact

  • mhask@umich.edu
  • Electrical Engineering and Computer Science, 1301 Beal Ave, Ann Arbor, MI 48103