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, 2005, Medical Physics

Doctoral Degree
UBC, 2001, Condensed Matter 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
  • 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
  • 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, Mmachine learning and radiomics, Theranostics

Abstract

In our lab, we pursue interdisciplinary research towards enhanced quantitative image generation and analysis for tomographic medical imaging devices (PET, SPECT, acoustic, optical) including emphasis on multi-modality imaging. 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. We actively pursue and lead research on the three fronts of brain, cardiac and oncologic imaging, all aimed at robust and feasible quantitative imaging.

We are a multidisciplinary group involved in education and research in tomographic medical devices, pursuing and integrating diverse research areas including hardware engineering (e.g. motion tracking), signal processing (image reconstruction, processing and quantification), pattern recognition, computer observer modeling and biological compartmental modeling.


Selected Publications