Theses most similar to Reconstruction algorithms for MRI (Bilgic̦, Berkin; 2013) read it

Magnetic resonance imaging of diffusion in the presence of physiological motion

Gudbjartsson, Hakon (1996)

  • Advisor: Samuel Patz
  • Department of Electrical Engineering and Computer Science
Read it

Magnetic resonance spectroscopic imaging using parallel transmission at 7T

Gagoski, Borjan Aleksandar (2011)

  • Advisor: Elfar Adalsteinsson
  • Department of Electrical Engineering and Computer Science
Read it

Excitation and readout Designs for high field spectroscopic imaging

Lee, Joonsung (2011)

  • Advisor: Elfar Adalsteinsson
  • Department of Electrical Engineering and Computer Science
Read it

Experimental transport of intensity diffraction tomography

Lee, Justin Wu (2011)

  • Advisor: George Barbastathis
  • Department of Mechanical Engineering
Read it

Accelerating magnetic resonance imaging by unifying sparse models and multiple receivers

Weller, Daniel (Daniel Stuart) (2012)

  • Advisor: Vivek K. Goyal
  • Department of Electrical Engineering and Computer Science
Read it

Anomaly detection in brain connectivity structure : an application to epilepsy

Sweet, Andrew (Andrew Douglas) (2013)

  • Advisor: Golland, Polina, 1971-
  • Department of Electrical Engineering and Computer Science
Read it

Model-based reconstruction of magnetic resonance spectroscopic imaging

Chatnuntawech, Itthi (2013)

  • Advisor: Elfar Adalsteinsson
  • Department of Electrical Engineering and Computer Science
Read it

Imaging applications of the sparse FFT

Shi, Lixi (2013)

  • Advisor: Dina Katabi
  • Department of Electrical Engineering and Computer Science
Read it

Acquisition and reconstruction methods for magnetic resonance imaging

Chatnuntawech, Itthi (2016)

  • Advisor: Elfar Adalsteinsson
  • Department of Electrical Engineering and Computer Science
Read it

Linear regression analysis of 2D projection image data of 6 degrees-of-freedom transformed 3D image sets for stereotactic radiation therapy

Lin, Christie (2012)

  • Advisors: Brian Winey; Richard C. Lanza
  • Department of Nuclear Science and Engineering
Read it