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Syed Murtaza Arshad, M.S.

Ph.D. Candidate, Electrical & Computer Engineering

I work on developing and applying signal processing, optimization, and deep learning techniques for advanced reconstruction of cardiac magnetic resonance imaging (MRI). My doctoral research, funded by NIH Grant R01HL151697, focuses on motion-robust, real-time whole-heart flow imaging innovations. I am co-advised by Rizwan Ahmad and Lee Potter at The Ohio State University. In summer 2025, I completed a research internship with the MR Feature Development team at Canon Medical Research USA (CMRU). I also received the Graduate Associate Leadership Award (2024).

News & Updates

  • Received Presidential Fellowship 2026 at The Ohio State University.
  • Awarded SCMR Travel Grant award to attend SCMR 29th Annual Scientific Sessions in Rio de Janerio, Brazil.
  • Co-authored the manuscript "A multi-dynamic low-rank deep image prior (ML-DIP) for 3D real-time cardiovascular MRI", published in the Journal of Cardiovascular Magnetic Resonance (JCMR), 2025.
  • Selected for oral presentation at the 29th SCMR Annual Scientific Sessions, Rio de Janeiro, Brazil for our abstract submission "Motion-robust whole-heart 5D MRI using Expectation-Maximization-Guided Binning Correction and Outlier Rejection (EMORe)"
  • Completed summer internship in Summer 2025 at Canon Medical Research USA (CMRU) as an MR Feature Development Research Scientist.
  • Co-authored the manuscript "Multi-dynamic deep image prior for cardiac MRI", published in the Magnetic Resonance Medicine, Volume 94, Issue 6, 22 July 2025.
  • Awarded 2nd Place at the 2025 Hayes Research Forum for my oral presentation on “Motion-Robust Volumetric CMR.”

Research Projects

Motion-robust 5D MRI GIF

Motion-robust 5D MRI Reconstruction

Integrated expectation-maximization (EM) framework, an unsupervised technique, in 5D MRI reconstruction to correct motion binning errors and reject outliers.

4D Flow Image Reconstruction GIF

Motion-robust 4D Flow Image Reconstruction

Developed a novel optimization technique integrated with outlier rejection for motion-robust reconstruction of 4D flow cardiovascular magnetic resonance images.

4D Flow Image Reconstruction GIF

Motion-robust 3D cine Image Reconstruction

Proposed a novel optimization technique integrated with outlier rejection for motion-robust reconstruction of 3D cine cardiovascular magnetic resonance images.

In-magnet exercise CMR

In-magnet Exercise Cardiovascular MRI

Assessing and validating new CMR protocols and reconstruction frameworks to facilitate assessment of cardiac function during exercise stress using planar, volumetric and flow imaging.

In-magnet exercise CMR

Low-Field 4D flow Cardiac Magnetic Resonance Imaging

Developed new CMR protocols and reconstruction frameworks to facilitate volumetric flow imaging at a low-field scanner.

iSight

iSight: Smart Glasses & Cane for Visually Impaired

Developed a wearable prototype integrating computer vision-based smart glasses and sensor fusion-based smart cane, providing real-time audio guidance to visually impaired individuals for object identification, obstacle avoidance, and navigation.

Publications

Journal Articles

Preprints

Abstracts

Talks & Presentations