First Name
Arman
Last Name
Rahmim
Position
Associate Professor
Office Room
Hennings 266
Tel (Office)
604-675-8262
Email
rahmim@phas.ubc.ca
Research Groups

Students Wanted
actively recruiting

Preferred Citation Style
Institute of Electrical and Electronics Engineers (IEEE)


Bachelor's Degree
UBC, 1999, Physics & Mathematics

Master's Degree
UBC, 2001, Condensed Matter Physics

Doctoral Degree
UBC, 2005, Medical Physics

Employment History
  1. Associate Professor, UBC, 2018-present
  2. Senior Scientist & Provincial Medical Imaging Physicist, BC Cancer, 2018-present
  3. Johns Hopkins University (2005-2018):
  • 2015 - 2018          Associate Professor, Departments of Radiology and Electrical & Computer Engineering
  • 2010 - 2015          Assistant Professor (Joint Appointment), Department of Electrical & Computer Engineering, School of Engineering
  • 2006 - 2015          Assistant Professor, Division of Nuclear Medicine & Molecular Imaging, Department of Radiology, School of Medicine
  • 2005 - 2018          Chief Physicist, Section of High Resolution Brain PET Imaging, Division of Nuclear Medicine & Molecular Imaging
  • 2005                     Research Associate, Division of Nuclear Medicine & Molecular Imaging, Department of Radiology, School of Medicine

Awards

2016: John S. Laughlin Young Scientist Award, American Association of Physicists in Medicine (AAPM)


Committees and Service
  • Chair, Society of Nuclear Medicine & Molecular Imaging (SNMMI) AI Task Force
  • Chair, AI Webinars and Data Challenge Committee of the Physics, Instrumentation and Data Sciences Council (PIDSC), Society of Nuclear Medicine & Molecular Imaging (SNMMI) (2019-)
  • Leadership Team, Physics, Instrumentation and Data Sciences Council (PIDSC), Society of Nuclear Medicine & Molecular Imaging (SNMMI) (2016-2020): elected for a four year term, transitioning as VP-elect, Vice President and President of the Council
  • Grant Committee Member, Canadian Institutes of Health Research (CIHR) Medical Physics & Imaging (MPI) Committee: CIHR Project Grant Competitions (2019-)
  • Chair (2014-2017) and Member (2013-2018), Diversity Committee of the Johns Hopkins University Department of Radiology
    • Aims/activities: working with executive leadership, and the director and associate dean for diversity and cultural competence, to guide recruitment and retention of underrepresented minorities and to promote preservation of cultural wealth in the department; organization of diversity training and lecture series; promotion of community support and involvement.
  • Board Member, Society of Nuclear Medicine & Molecular Imaging (SNMMI) Committee on Councils and Centers (2017-2019)
  • Board Member, Society of Nuclear Medicine & Molecular Imaging (SNMMI) House of Delegates (2017-2019)
  • Board Member, Public Education, American Association of Physicists in Medicine (AAPM) (2013-2017)
  • Board Member, Physics, Instrumentation and Data Sciences Council (PIDSC), Society of Nuclear Medicine & Molecular Imaging (SNMMI) (2014-2016)
  • Committee Member, Imaging Working Group of the Parkinson’s Progression Markers Initiative (PPMI) (2016-2018)

Research Area
Medical Physics

Research Field
Molecular imaging, Image Reconstruction, Quantitative Imaging, Machine learning and radiomics, Theranostics

Abstract

Cancer is a leading cause of death globally, and based on North American statistics, approximately half of the population will develop cancer during their lifetime. At our Quantitative Radiomolecular Imaging and Therapy (Qurit) lab, we aim to improve diagnosis and prognosis, and offer new radiotherapy alternatives that help save lives. We do this by quantifying how radiomolecules (radiopharmaceuticals), a combination of drugs and radioactive isotopes, precisely target cancer cells, in both imaging and therapy applications.

If you’re interested in applications of physics and technology to help cure cancer, and to familiarize yourself with techniques such as artificial intelligence (AI) and machine learning algorithms, we invite you to talk to us. We are continuously and actively recruiting students, postdocs, volunteers, interns, and visiting students from all around the world.

In our team, we pursue interdisciplinary research towards enhanced quantitative image generation and analysis for medical imaging devices (PET, SPECT). Our lab has extensive experience and expertise with mathematical, computational and engineering tools to achieve state-of-the-art medical imaging, and we continue to lead collaborations with researchers in the areas of imaging physics, engineering, robotics, mathematics, computer science, radiochemistry, material science, drug delivery and biological modeling. We aim to develop and validate novel solutions for medical device data acquisition, data correction, image reconstruction and quantification.


Selected Publications