Zaki Ahmed

Name: Zaki Ahmed, MSc

Level at MPU: PhD

Email: zaki.ahmed [at] mail.mcgill.ca

Website: notzaki.github.io

Supervisor(s): Dr. Ives Levesque

Research interests: Perfusion MRI

Link to CV

 

Research summary

Tumours require an abnormally large blood supply to fuel their unrestrained growth.
This abnormal blood supply can be visualized via Dynamic contrast enhanced (DCE) MRI.
DCE-MRI involves a tracer injection followed by a series of rapid MRI scans that capture the arrival, uptake, and subsequent washout of the tracer.
The images are analyzed by fitting a mathematical model to the acquired data.
The fitting parameters provide quantitative information, such as the density and leakiness of blood vessels supplying the tumour.
These quantitative features are useful for identifying tumours, and changes in these features can be used to monitor the cancer's response to treatment.

My works involves developping mathematical models for DCE-MRI analysis, and then applying these techniques on clinical data.


Key publications

  1. Ahmed Z, Levesque IR. An extended reference region model for DCE‐MRI that accounts for plasma volume. NMR in Biomedicine. 2018;31:e3924. https://doi.org/10.1002/nbm.3924
  2. Vallières, M., Serban, M., Benzyane, I., Ahmed, Z., Xing, S., El Naqa, I., ... & Freeman, C. R. (2018). Investigating the role of functional imaging in the management of soft-tissue sarcomas of the extremities. Physics and Imaging in Radiation Oncology, 6, 53-60.
  3. Ahmed, Z. and Levesque, I. R. (2017), Increased robustness in reference region model analysis of DCE MRI using two‐step constrained approaches. Magn. Reson. Med., 78: 1547-1557. doi:10.1002/mrm.26530

 

Awards

(2018-2020) Bourse de Doctorat en Recherche - FRQS

(2016-2017) George G. Harris Fellowship

(2014-2015) McGill Faculty of Medicine Studentship

 

 

 

 

 

 

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