Portrait of Shirin A. Enger

Shirin A. Enger

Associate Academic Member
Tenured Associate Professor, McGill University, Department of Oncology
Research Topics
Computational Biology
Deep Learning
Medical Machine Learning

Biography

Shirin Abbasinejad Enger is a tenured associate professor in the Medical Physics Unit of the Gerald Bronfman Department of Oncology, McGill University.

She is also Director of the Medical Physics Unit, and a Tier 2 Canada Research Chair in Medical Physics.

Enger is also a principal investigator at the Lady Davis Institute for Medical Research and the Segal Cancer Centre of the Jewish General Hospital.

She received her PhD from Uppsala University in 2009 and was a postdoctoral fellow at Université Laval from 2009 to 2011. She has taken on a variety of leadership roles in international and national working groups and committees.

Current Students

PhD - McGill University
PhD - McGill University
Postdoctorate - McGill University
PhD - McGill University
PhD - McGill University
PhD - McGill University
PhD - McGill University
Postdoctorate - McGill University
PhD - McGill University
PhD - McGill University

Publications

163 Evaluating the Inter-Observer Variability in the Delineation of Rectal Lesions in Endoscopy Images
A. Thibodeau-Antonacci
Corey Miller
L. Weishaupt
Aurélie Garant
T. Vuong
P. Nicolaï
181 RapidBrachyTG43: A TG-43 Parameter and Dose Calculation Module for RapidBrachyMCTPs
Jonathan Kalinowski
186 Diffusion of 220RN and 212PB in Diffusing Alpha-Emitter Radiation Therapy Dosimetry with Geant4
Victor Daniel Díaz Martínez
192 Investigation of the Dose Properties and Source to Source Variabilities in Xoft Source Model S7500
A. Esmaelbeigi
Jonathan Kalinowski
T. Vuong
241 Reduction of Metal Artifacts in 7T MRI for Pre-Clinical Diffusing Alpha-Emitting Radiation Therapy Rectal Studies
Mélodie Cyr
Behnaz Behmand
N. Chabaytah
Joud Babik
256 Patient-Specific Pre-Treatment Nuclei Size Distribution is of Significance for Post Radiation Therapy Locoregional Recurrence and Survival Outcomes
Magali Lecavalier-Barsoum
Manuela Pelmus
Farhad Maleki
259 Development of a Cost-Efficient Scintillation-Fiber Detector for Use in Automated Synthesis of Positron Emission Tomography Radiotracers
Hailey Ahn
Liam Carroll
Robert Hopewell
I-Huang Tsai
PP02  Presentation Time: 4:39 PM
Maryam Rahbaran
Jonathan Kalinowski
James Man Git Tsui
Joseph DeCunha
Kevin Croce
Brian Bergmark
Philip Devlin
Saturday, June 24, 20238:30 AM - 9:30 AMMSOR01 Presentation Time: 8:30 AM
Mélodie Cyr
N. Chabaytah
Joud Babik
Behnaz Behmand
Development of a hydrated electron dosimeter for radiotherapy applications: A proof of concept.
Julien Mégrourèche
H. Bekerat
Jingyi Bian
Alaina Bui
Jack C Sankey
Lilian Childress
BACKGROUND Hydrated electrons, which are short-lived products of radiolysis in water, increase the optical absorption of water, providing a … (see more)pathway toward near-tissue-equivalent clinical radiation dosimeters. This has been demonstrated in high-dose-per-pulse radiochemistry research, but, owing to the weak absorption signal, its application in existing low-dose-per-pulse radiotherapy provided by clinical linear accelerators (linacs) has yet to be investigated. PURPOSE The aims of this study were to measure the optical absorption associated with hydrated electrons produced by clinical linacs and to assess the suitability of the technique for radiotherapy (⩽ 1 cGy per pulse) applications. METHODS 40 mW of 660-nm laser light was sent five passes through deionized water contained in a 10 × 4 ×
GEANT4-DNA simulation of temperature-dependent and pH-dependent yields of chemical radiolytic species
Jingyi Bian
Wook-Geun Shin
Jose Ramos-Méndez
Jack C Sankey
Lilian Childress
Jan Seuntjens
A graphical user interface for calculating the arterial input function during dynamic positron emission tomography
Y. Daoud
Liam Carroll
Purpose. Dynamic positron emission tomography (dPET) requires the acquisition of the arterial input function (AIF), conventionally obtained … (see more)via invasive arterial blood sampling. To obtain the AIF non-invasively, our group developed and combined two novel solutions consisting of (1) a detector, placed on a patient’s wrist during the PET scans to measure the radiation leaving the wrist and (2) a Geant4-based Monte Carlo simulation software. The simulations require patient-specific wrist geometry. The aim of this study was to develop a graphical user interface (GUI) allowing the user to import 2D ultrasound scans of a patient’s wrist, and measure the wrist features needed to calculate the AIF. Methods. The GUI elements were implemented using Qt5 and VTK-8.2.0. The user imports a patient’s wrist ultrasound scans, measures the radial artery and veins’ surface and depth to model a wrist phantom, then specifies the radioactive source used during the dPET scan. The phantom, the source, and the number of decay events are imported into the Geant4-based Monte Carlo software to run a simulation. In this study, 100 million decays of 18F and 68Ga were simulated in a wrist phantom designed based on an ultrasound scan. The detector’s efficiency was calculated and the results were analyzed using a clinical data processing algorithm developed in a previous study. Results. The detector’s total efficiency decreased by 3.5% for 18F and by 51.7% for 68Ga when using a phantom based on ultrasound scans compared to a generic wrist phantom. Similarly, the data processing algorithm’s accuracy decreased when using the patient-specific phantom, giving errors greater than 1.0% for both radioisotopes. Conclusions. This toolkit enables the user to run Geant4-based Monte Carlo simulations for dPET detector development applications using a patient-specific wrist phantom. Leading to a more precise simulation of the developed detector during dPET and the calculation of a personalized AIF.