Outreach

Outreach involving training is at the foundation of our CMITT program. Click on the sections below to stay up to date on training opportunities.

Training in Medical Imaging

Training in Medical Imaging

CMITT provides research training in medical imaging, as currently applied to disciplines such as nuclear medicine (PET and SPECT), magnetic resonance imaging (MRI) and computed tomography (CT). The goal of the training is to provide an avenue for doctoral scientists in physics, engineering, mathematics, statistics, as well as related disciplines to enter and be successful in medical imaging research. This is achieved by providing training in radiological sciences to trainees with a strong quantitative background via structured didactic courses and seminars, enabling graduates to critically evaluate the field and formulate their own research ideas. Trainees participate in leading-edge research, with the opportunity to interact with a world-class faculty in a setting that combines the resources of the Harvard Medical School Joint Program in Nuclear Medicine (HMS-JPNM), the Harvard-affiliated Teaching Hospitals (e.g., Massachusetts General Hospital (MGH), Children’s Hospital Boston (CHB)), Brigham and Women’s Hospital, and the Harvard-MIT Division of Health Sciences and Technology (HST). CMITT stresses the methodology needed to advance medical imaging research specifically (in contrast to research training in imaging probes, animal models, or the study of disease mechanisms). The major foci of the didactic program are: (1) the physics of image formation with radiation, magnetic resonance and computed tomography, (2) the use of image processing to enhance the quantitative diagnostic and therapeutic capabilities of medical imaging, (3) the kinetic modeling of physiological processes needed to test hypotheses with cross-sectional PET, MRI and fMRI, as well as proton therapy and to advance quantitative functional imaging and molecular medicine.

Trainees can directly participate in unique training where trainees learn PET/MR theory, techniques, the underlying technical methods, and a wide range of clinical applications.
We will also provide educational and hands-on training to medical students, graduate students, and postdoctoral fellows and leverage the extended resources of our PET/MR program. In addition, the PET/MR program at MGH has attracted a large number of basic and clinical researchers, visiting scientists, and students from all around the world.

Fellows and Junior Faculty in training

Contact CMITT about training with us

Contact CMITT about training with us

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    Local Courses

    Local Courses

    A listing of local courses available through Harvard Medical School and the Harvard-MIT Health Sciences and Technology program can be found on the Gordon Center website: 

    http://gordon.mgh.harvard.edu/gc/education-training/courses/

    Short Courses

    Short Courses

    CMITT will host an annual conference and workshop at the Society of Nuclear Medicine and Molecular Imaging for dissemination of results and new concepts. The program will include speakers from the Center with hands on sessions to introduce new technologies being developed. It will also include speakers from the imaging and industrial research communities that are focused on the technology at hand.

    In addition to the annual conference, two to four short courses will be offered each year at MGH detailing the methods developed under CMITT.

    The 2022 annual workshop will be on deploying motion correction methodology in research and clinical environments. The workshop will include theoretical training on the PET/MR technology and  hands-on training on the tools.

    Short courses at IEEE Nuclear Science Symposium and Medical Imaging Conference

    Full Day Course, IEEE Nuclear Science Symposium and Medical Imaging Conference, Boston, MA, USA, Nov. 2, 2020

    PET/SPECT/MR short course
    Coordinator/Course Instructor: Georges El Fakhri,

    • SPECT&PET Basic Instrumentation & Image Formation (Georges El Fakhri, Ph.D., MGH, Boston)
    • MR Basics (Chao Ma, PhD, MGH, Boston)
    • PET/MR & SPECT/PET/CT Instrumentation (Hamid Sabet, MGH, Boston)
    • Image Reconstruction and Quantitation (Joyita Dutta, MGH & UML, Boston)
    • Clinical Applications of PET/MR (Georges El Fakhri, Ph.D., MGH, Boston)

    Full Day Course, IEEE Nuclear Science Symposium and Medical Imaging Conference, Manchester, United Kingdom, 2019, Oct. 27 – Nov 3.

    PET/SPECT/MR short course
    Coordinator/Course Instructor: Georges El Fakhri,

    Monday, 28 October 2019/  8:00 AM – 5:00 PM

    • Probes  & Image Formation  (Georges El Fakhri, Ph.D., MGH, Boston)
    • Magnetic Resonance (Chao Ma, PhD, MGH, Boston)
    • Instrumentation and system Design (Hamid Sabet, MGH, Boston)
    • Image Reconstruction and Quantitation (Joyita Dutta, MGH & UML, Boston)
    • Clinical Applications of PET/MR (Ruth Lim, M.D., MGH, Boston)

    Short courses at the 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference in Sydney, Australia, Nov 10-17

    PET/MR: Principles and Applications

    Sunday, 11 November 2018 / Time 8:00 am to 5:00 pm

    1. Principles of PET/MR and requirements for their integration (Georges El Fakhri, Ph.D., DABR)
    2. MR Basics (Chao Ma, PhD)
    3. Instrumentation and system Design for integration: small animal to human PET/MR (Armin Kolb, PhD)
    4. Challenges and benefits of integration I: Attenuation correction, Motion correction (Quanzheng Li, Ph.D.)
    5. Challenges and benefits of integration II: Dual Probe PET/MR & Imaging of multiple physiological processes (Georges El Fakhri, Ph.D., DABR)
    6. Clinical Applications of PET/MR (Ruth Lim, M.D.)

    Short courses at the Radiological Society of North America (RSNA)

    Short Courses, 2020 RSNA Annual Meeting, Chicago, IL.

    Applications of Deep Learning in MRI and PET/MRI Image Formation

    Fang Liu, PhD, Boston, MA

    Learning Objectives

    1) Present a technical overview of DL in medical imaging and discuss some recent DL applications that successfully translate new
    learning-based approaches into performance improvement in MR and PET/MR imaging workflow. 2) Draw tightly connections
    between fundamental DL concepts and technical challenges in medical imaging. 3) Cover rapid image acquisition and reconstruction
    to image post-processing such as image segmentation and synthesis in MR and PET/MR. 4) Discuss open problems in DL that are
    particularly relevant to medical imaging and the potential challenges and opportunities in this emerging field.

    Physics & Technology

    Georges El Fakhri, PhD, Boston, MA

    Learning Objectives

    1) Understand current technology both in terms of instrumentation and imaging science as they pertain to PET/MR. 2) Understand
    the potential applications afforded by PET/MR technology developments (e.g., instrumentation, AI).

    Short Courses, 2019 RSNA Annual Meeting, Chicago, IL.

    Emerging Technology: PET/MRI Update 2019
    Organizer/Moderator: Rathan Subramanian, Georges El Fakhri

    Thursday December 5th 2019 / 16:00 – 18:00, Course # RC717

    • 16:00 – 16:20              PET/MRI 2019: Clinical Practice Implementation
      • Geoffrey B. Johnson, MD, PhD, Rochester MN
    • 16:20 – 16:40              PET/MRI Clinical Applications: Brain and Head and Neck
      • Alexander Drzezga, MD, Cologne, Germany
    • 16:40 – 17:00              PET/MRI Clinical Applications: Body
      • Thomas A. Hope, MD, San Fransisco, CA
    • 17:00 – 17:20              PET/MRI Clinical Applications: Cardiac
      • Pamela K. Woodard, MD, Saint Louis, MO
    • 17:20 – 17:40              PET/MRI Clinical Applications: Pediatrics
      • Lisa States, MD, Philadelphia, PA
    • 17:40 – 18:00              PET/MRI 2019: Physics and Instrumentation
      • Georges El Fakhri, PhD, Boston, MA

    Short Courses, 2018 RSNA Annual Meeting, Chicago, IL

    Emerging Technologies: PET/MRI update 2018
    Organizer/Moderator: Rathan Subramanian, Georges El Fakhri
    Wednesday Nov. 28, 8:30-10:00 AM | RC517 | Room: S505AB

    • 14:00 –14:10 PET/MRI: The Evolving Imaging Field of Structure & Function
      Rathan M. Subramaniam, MD, PhD
    • 14:10 –14:40 PET/MRI Physics: The Opportunities and Challenges
      Georges El Fakhri, PhD
    • 14:40 –14:55 PET/MRI Clinical Applications: Brain and Head and Neck
      Alexander Drzezga, MD
    • 14:55 –15:10 PET/MRI Clinical Applications: Body
      Thomas A. Hope, MD
    • 15:10 –15:30 PET/MRI Clinical Applications: Cardiac
      Pamela K Woodard, MD

    Categorical Courses at the Society of Nuclear Molecular Imaging (SNMMI) Meetings

    SNMMI 2021 Mid-Winter Meeting, Virtual


    Artificial Intelligence in Nuclear Medicine, Sponsored by the SNMMI Physics
    Instrumentation and Data Sciences Council
    Organizer: Joyita Dutta

    2:15–3:45 pm ET

    Session Description
    This session will focus on the fundamentals of artificial intelligence (AI) and highlight recent advances in deep learning in the context of nuclear medicine imaging. Deep learning is particularly well-suited for the analysis of large and complex datasets including images. Unlike classical machine learning approaches, which rely on predetermined handcrafted features, deep learning algorithms learn features that are most meaningful for a given task. In this session, we aim to provide both a foundational overview of AI methodology and discuss major applications of AI in nuclear medicine.
    The session is intended to provide the attendees with an in-depth understanding of AI tools that have the potential to significantly improve diagnosis, prognosis, and treatment response assessment, and to take a significant step toward realization of precision (personalized) medicine.

    Session Objectives

    • Describe the framework of a deep learning algorithm
      and how this differs from classical machine learning.
    • Examine motivations for applying machine learning
      and deep learning methods to radiological images,
      and how these may significantly improve diagnosis,
      prognosis, and treatment response assessment.
    • Recognize the pitfalls and challenges of, as well as
      solutions towards, the translation of deep learning
      methods to routine clinical practice

    SNMMI 2020 Annual Meeting – Virtual

    Simultaneous PET/MRI:  Advantages and Clinical Applications

    Georges N. El Fakhri, PhD, FSNMMI; Hongyu An, PhD; Kuang, Gong, PhD; Helen R. Nadel, MD FRCPC


    Tuesday Sept. 8, 2020 1:00 PM – 2:00 PM

    Course Learning Objectives
    Compare and better understand the recent developments in instrumentation and image analysis in PET/MRI
    Better understand the upcoming role of machine learning in PET/MRI. 
    Examine the role of PET/MRI in the context of oncologic, brain and pediatric PET/MRI

    Categorical Courses, 2019 SNMMI Annual Meeting, Anaheim, CA.

    Advances in Simultaneous PET/MRI Imaging and Clinical Applications
    Organizer/Moderator: Georges El Fakhri, Richard Laforest

    Sunday June 23, 2019 / 16:30 – 18:30

    • 16:30 – 17:00               PET/MRI: Technology
      • Richard Laforest, PhD
    • 17:00  – 17:30              Application of Machine Learning in PET/MRI
      • Hongyu An, PhD
    • 17:30 – 18:00              Pediatric PET/MRI
      • Lisa J. States, MD
    • 18:00 – 18:30               Cardiovasular PET/MR imaging
      • Georges El Fakhri, PhD, FIEEE, FAAPM, FSNMMI

    AI for Data Sciences
    Organizer/Moderator: Georges El Fakhri

    Tuesday June 25, 2019 / 15:00 – 16:30  

    • 15:00 – 15:30               AI in PET and MR
      • Georges El Fakhri, PhD, MGH, Boston
    • 15:30 – 16:00               Deep Learning in Tomographic Reconstruction
      • Quanzheng Li, PhD, MGH, Boston
    • 16:30 – 9:00                 Promise and Challenes of Data Science
      • Mark Michalski, MD, MGH, Boston

    Categorical Courses, 2018 SNMMI Annual Meeting, Philadelphia, PA.

    Advances in Simultaneous PET/MRI Imaging and Clinical Applications
    Organizer/Moderator: Georges El Fakhri, Richard Laforest
    Sunday June 22, 2018 / 16:30 –18:30 EDT

    • 4:30 PM -5:00 PM PET/MRI: Technology
      Richard Laforest, PhD
    • 5:00 PM -5:30 PM Application of Machine Learning in PET/MRI 
      Hongyu An, PhD
    • 5:30 PM –6:00 PM Pediatric PET/MRI 
      Lisa J. States, MD
    • 6:00 PM -6:30 PM Cardiovasular PET/MR imaging 
      Georges El Fakhri, PhD, FIEEE, FAAPM, FSNMMI

    PET/CT and PET/MR for Adults and Children: Fundamental and Evolving Practices. Instrumentation Update: PET/MR 
    Saturday June 23, 2018 / 7:30 AM- 10:00 PM EDT

    • 8:00 AM – 8:20 AM Machine Learning and PET: A Great Combination?
      Vincent Gaudet, PhD, PEng, SMIEEE
    • 8:20 AM – 8:40 AM Instrumentation Update: New Technologies for PET/CT
      Suleman Surti, PhD
    • 8:40 AM – 9:00 AM Instrumentation Update: PET/MR
      Georges N. El Fakhri, PhD
    • 9:00 AM – 9:20 AM A Guide to Dosimetry: PET/CT vs. PET/MR
      Richard Laforest, PhD
    • 9:20 AM – 9:40 AM Image Gently Update
      Frederic H. Fahey, DSc, FSNMMI

    ISMRM 2020

    Session Topic: Gliomas, MR/PET/MRS for Guiding Radiotherapy

    Georges El Fakhri

    Saturday, 8 August 2020, 15:00 – 15:30 UTC

    – Demonstrate uses of MR/PET/MRS in guiding the delivery of raidation therapy

    Future workshops, seminars, short courses

    • November 2022: PET/MRI workshop at virtual IEEE NSS/MIC
    • TBD: PET/MR Workshop at Massachusetts General Hospital
      • Recent advances in kinetic modeling of receptor/neurotransmitter systems in non-steady state
      • Deployment of joint estimation and reconstruction for simultaneous PET and MR clinical and preclinical data are another dimension for methodological development

    Visiting Scientist Program

    Visiting Scientist Program

    Visiting Scientist Program

    A small number of participants will be provided in-depth training in specific PET/MR technology.

    If you are interested in participating in this program, please fill out the contact form below:

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      Electronic Teaching Materials

      Electronic Teaching Materials

      Videotaped lectures are part of the CMITT effort, along with the Gordon Center for Medical Imaging, to disseminate the latest research topics in medical imaging as it pertains to simultaneous PET/MR. Additional lectures can be found here.

      Software Resources

      Software Resources
      This image has an empty alt attribute; its file name is MRIlab_Logo.png

      MRiLab A Numerical Magnetic Resonance Imaging (MRI) Simulation Platform
      Code: https://github.com/leoliuf/MRiLab

      The MRiLab is a numerical MRI simulation package. It has been developed and optimized to simulate MR signal formation, k-space acquisition and MR image reconstruction. MRiLab provides several dedicated toolboxes to analyze RF pulse, design MR sequence, configure multiple transmitting and receiving coils, investigate magnetic field related properties and evaluate real-time imaging technique. The main MRiLab simulation platform combined with those toolboxes can be applied to customize various virtual MR experiments which can serve as a prior stage for prototyping and testing new MR technique and application.

      Questions? Contact Fang Liu

      IterativeCNN: Iterative PET image reconstruction using convolutional neural network representation
      Code: https://github.com/zgongkuang/IterativeCNN

      This code and shared simulation datasets can be used to reproduce the simulation results published in our work, and also help the community further develop approaches combining deep learning and iterative reconstruction. Below is the abstract of this work.

      PET image reconstruction is challenging due to the ill-poseness of the inverse problem and limited number of detected photons. Recently, the deep neural networks have been widely and successfully used in computer vision tasks and attracted growing interests in medical imaging. In this work, we trained a deep residual convolutional neural network to improve PET image quality by using the existing inter-patient information. An innovative feature of the proposed method is that we embed the neural network in the iterative reconstruction framework for image representation, rather than using it as a post-processing tool. We formulated the objective function as a constrained optimization problem and solved it using the alternating direction method of multipliers algorithm. Quantification results show that our proposed iterative neural network method can outperform the neural network denoising and conventional penalized maximum likelihood methods.

      Questions? Contact Kuang Gong

      Matlab processing for pharmacokinetic PET studies in NHP and Humans

      We have developed an analysis pipeline in Matlab for processing pharmacokinetic PET studies performed in non-human primates and in humans. The workflow includes registration of the images to a standardized template space,  automated extraction of regional brain time activity curves (TACs) using a set of brain atlases, processing of blood and plasma data, if available, application of kinetic models for accurate quantification of the physiological processes of interest and computation of parametric maps.

      The list of implemented mathematical models includes blood-based techniques such as full compartment models in different configurations (one-tissue or two-tissue in reversible and irreversible modes with and without inclusion of the vascular contribution to the PET signal as a model parameter), graphical methods (such as Logan, MA1 and Patlak) and reference-tissue based techniques (such as SRTM, Logan DVR, MRTM). The inputs that are required for the pipeline consists of the individual structural MR images and the dynamic PET images either in dicom or in nifti format. If blood-based models are selected, the user also needs to provide the whole-blood and plasma concentrations measured over the course of the study as well as corresponding parent fraction measurements for generation of metabolite-corrected arterial input function.

      Questions? Contact Nicolas Guehl

      LTSA-MRI

      A manifold learning-based method that leverages the intrinsic low-dimensional structure of MR Spectroscopic Imaging (MRSI) signals for joint spectral quantification.

      The available code consists of MATLAB®-based scripts and functions along with corresponding example simulated datasets.

      Please email developer Chao Ma for help and comments.

      C. Ma, et. al. “Joint spectral quantification of MR spectroscopic imaging using linear tangent space alignment (LTSA)-based manifold learning” Magn Reson Med. 2022 Nov 20;. doi: 10.1002/mrm.29526.

      PLEASE NOTE: The software available on this page is provided free of charge and comes without any warranty. CMITT and the MGH/HMS do not take any liability for problems or damage of any kind resulting from the use of the files provided. Operation of the software is solely at the user’s own risk. The software developments provided are not medical products and must not be used for making diagnostic decisions.

      The software is provided for non-commercial,, non-clinical academic use only. Usage or distribution of the software for commercial purpose is prohibited. All rights belong to the authors and/or the Massachusetts General Hospital. If you use the software for academic work, please give credit to the author in publications and cite the related publications.

      Some of the software developments provided are still work-in-progress such that the software is not completely free of errors.

      Gordon Lecture Series

      Gordon Lecture Series

      Regular seminars are held on Fridays with experts from around the world presenting their research

      Past seminars

      Invited Talks

      Invited Talks

      2017:    Invited speaker; SNMMI Mid Winter Meeting – Phoenix, AZ,
      “Role of Quantification in Amyloid and Tau Imaging”.

      2017:    Invited speaker; SNMMI Mid Winter Meeting – Phoenix, AZ,
      “Role of PET/MR in Cancer and Non-Oncologic Application”.

      2017:    Invited Grand Round Speaker: University of Chicago, Chicago, IL:
      “Quantitative PET/MR in oncologic, cardiac and brain applications”.

      2017:    Invited Keynote Speaker:  Quebec Bio-Imaging Network, MNI, Montreal, CAN:
      “Simultaneous PET/MR Lessons learned”.

      2017:    Invited speaker.  University of Dartmouth PET-CT Symposium:
      “PET/MR: Strengths & Challenges”.  Stowe, VT.

      2017:    Invited speaker.  University of Dartmouth PET-CT Symposium:
      “Dose Reduction in PET studies”.  Stowe, VT.

      2017:    Invited speaker. Society of Pediatric Radiology (SPR) annual Meeting, Vancouver, CN:
      “Physics & Instrumentation: Considerations for Pediatric PET/MR”.

      2017:    Invited speaker: Ministry of Health, Kuwait:      

      • “Basic atomic and nuclear physics”
      • “Decay of radioactivity”
      • “Scintillation Detectors: Non-imaging”
      • “Gamma camera: Basics, operations, consideration”
      • “SPECT , filtering, processing”
      • “Hybrid imaging: Basic CT”
      • “Basic radiation protection in nuclear medicine”

      2017:    Invited Speaker: International Society of Magnetic Resonnance in Medicine (ISMRM), Honolulu, HI: 
      “Advanced Multimodality Cardiac Imaging: PET/MR”

      2017:    Invited Speaker: Stanford University, Palo Alto, CA: 
      “PET/MR for in vivo mapping of cancer, brain and heart function.”

      2017:    Plenary Speaker: Frontiers in Medical Imaging Symposium, Jiao Tong University, Shanghai (2 Plenary speakers: NIBIB Director Dr Pettigrew and Dr El Fakhri).

      2017:    Invited speaker; SNMMI Annual Meeting, Denver, CO: 
      “Basic Science Plenary Session:  Data Analysis & Instrumentation”.

      2017:    Invited lecture: SNMMI Annual Meeting, Denver, CO:
      “Decreasing PET Radiation Dose Using Currently Available Technology”.

      2017:    Invited Speaker: Tsinghua University, Beijing: 
      PET/MR for in vivo mapping of cancer, brain and heart function.

      2017:    Invited Plenary Speaker, Fully 3D Meeting, Xi’ian:  Quantitative PET/MR for in vivo mapping of cancer, brain and heart function.

      2017:    Invited speaker: Yonsei University, Seoul, Korea:
      Simultaneous PET/MR: Challenges and Opportunities for cardiac, oncologic and neurologic imaging.

      2017:    Invited speaker: KAIST University, Seoul, Korea:
      Simultaneous PET/MR: Challenges and Opportunities for Engineers.

      2017:    Invited Keynote speaker: Molecular Imaging Instrumentation Workshop, The University of Chicago in Hong Kong:
      “PET/MR in medicine and biology”.

      2017:    Invited speaker: National Academy of Science, Taipei, Taiwan:
      “PET/CT and PET/MR in radiation therapy”.

      2017:    Invited speaker: National Academy of Science, Taipei, Taiwan:
      “PET/CT and PET/MR in radiation therapy”.

      2017:    Invited Keynote speaker: French Naional Nuclear Medicine Society (APRAMEN), Paris, France: 
      “Quantitative PET/MR for in vivo functional Cardiac, Neurologic and Oncologic Imaging”.

      2017:    Invited Speaker: Radiological Society of North America (RSNA) Annual Meeting, Chicago IL:
      “PET/MR Physics and Instrumentation: Opportunity and Challenges”

      2017:    Invited Keynote speaker: Bangladesh Atomic Energy Commission, Medical Sciences, Dhaka, Bangladesh. 
      “Recent Developments in PET-CT & PET-MR: Technical and Clinical Considerations”.

      2017:    Invited Keynote Speaker, Memorial Sloan Kettering Cancer Center, New York, NY. 
      “Quantitative Oncologic and cardiac PET/MR: the MGH experience”.

      2018:    Invited Keynote Speaker, National Pakistani Medical Physics Meeting, Karachi, Pakistan:
      “Recent Developments in PET/CT and PET/MR: Lessons learned”

      2018:    Invited Keynote Speaker, Kuwait Foundation for Advancement of Science, Nuclear Medicine Workshop, Kuwait:
      “Quantitation of Myocardial Blood Flow with PET”

      2018:    Invited Keynote speaker: Molecular Imaging Instrumentation Workshop, The University of Chicago in Hong Kong:
      “Simultaneous PET/MR in Cancer: lessons learned from sarcoma studies”.

      2018:    Invited speaker: National Taiwan University, Taipei, Taiwan:
      “Cardiac PET/MR: Beyond Flow”.

      2018:    Visiting Professor Lecturship, Children’s Hospital of Philadelphia, Deaprtment of Radiology,  Philadelphia, PA:
      “Simulatneous PET/MR: Advances and Challenges”

      2018:    Invited Plenary Speaker: 2018 Asia Pacific Conference on Plasma and Terahertz Science, Xi’ian, China:   “Exploring Pathophysiology using quantitative PET/MR”.

      2018:    Invited speaker; SNMMI Annual Meeting, Philadelphia, PA:  Basic Science Plenary Session: 
      “Data Analysis & Instrumentation”.

      2018:    Invited Plenary Speaker: Royal North Sore Hospital, Sydney, Australia:                                      
      “Exploring Pathophysiology using quantitative oncologic, cardiac and brain PET/MR”.

      2018:    Invited Speaker: Radiological Society of North America (RSNA) Annual Meeting, Chicago IL:   
      “PET/MR Physics and Instrumentation: Opportunity and Challenges”

      2018:    Invited Plenary Speaker: BOE Innovator Lecture Series, Beijing, China:                                                 
      “Role and Opportunities for Molecular Imaging & AI in Healthcare”

      2018:    Invited Plenary Speaker: University of British Columbia, Vancouver, Canada:                                        
      “Imaging of Oncologic, Cardiac, and Brain Patho-Physiology Using Positron Emission Tomography and       Magnetic Resonance”

      2019:    Invited Speaker: US Food and Drug Administration (FDA), Silver Spring, MD:                                      
      “PET/MR and New Technologies”

      2019:    Invited Grand Rounds Speaker: University of British Columbia, Canada:
      “Imaging of oncologic patho-physiology using PET and MR”.

      2019:    Invited Grand Rounds Speaker: Tiantan University, Beijing, China:
      “Molecular Imaging of brain in normal function and disease using PET and MR”

      2019:    Invited Plenary Speaker: Zhengzhou University, Department of Pharmaceutical Sciences, China:
      “Radiochemistry for PET/MR imaging of cardiac and cancer disease”.

      2019:    Invited Plenary Speaker: National Institutes of Health, Taipei, Taiwan:
      “Probing Patho-physiology with PET/MR”.

      2019:    Invited Plenary Speaker: Intercontinental Nuclear Insttitute Meeting, Boston, MA:
      “Application of Nuclear Technology to Medical Imaging at the Gordon Center for Medical Imaging”.

      2019:    Invited Plenary Speaker: Chemistry Department, Zhengzhou University, China:
      “Quantitative Molecular Simultaneous PET/MR: Are we there yet?”.

      2019:    Invited Plenary Speaker: Henan Hospital, Zhengzhou, China:
      “Molecular PET/MR: Present and Future”.

      2019:    Invited Plenary Opening Lecture Speaker: Molecular Imaging Instrumentation Workshop, The University of Chicago in Hong Kong, China:
      “Quantitative PET/MR: New frontier for molecular imaging”.

      2019:    Invited Speaker, Annual Meeting of the American Association of Phycisists in Medicine (AAPM), San Diego, TX. 
      “Dose optimization in PET/CT and PET/MR”.

      2019:    Invited Speaker, Annual Meeting of the American Association of Phycisists in Medicine (AAPM), San Diego, TX. 
      “Reducing sedation and anesthesia in PET/CT and PET/MR”.

      2019:    Invited Keynote Plenary Speaker: Annual Meeting of the Asian Society of Magnetic Resonnance in Medicine (ASMRM), Shanghai, China:
      “Brain Molecular Imaging of Normal Function and Disease”.

      2019:    Invited Keynote Plenary Speaker: Annual Meeting of the Chinese Society of Magnetic Resonnance in Medicine (CSMRM), Shanghai, China:
      “Molecular Imaging in Cardiac & Oncologic Applications”.

      2019:    Invited Speaker: International Society of Magnetic Resonnance in Medicine (ISMRM), Montreal, Canada:
      “CNS tumors: Molecular Imaging with PET/MR”.

      2019:    Invited Speaker: International Society of Magnetic Resonnance in Medicine (ISMRM), Montreal, Canada:
      “Writing / Getting great research grants”.

      2019:    Edward J. Hoffman Lectureship, Societyof Nuclear Medicine and Molecular Imaging (SNMMI), Anaheim, CA:
      “Probing patho-physiology with molecular imaging”

      2019:    Invited Plenary speaker; SNMMI Annual Meeting, Anaheim, CA:  Basic Science Plenary Session: 
      “Data Analysis & Instrumentation”.

      2019:    Invited speaker, Society of Nuclear Medicine and Molecular Imaging (SNMMI), Anaheim, CA:
      “AI in Medical Imaging”

      2019:    Invited Plenary Keynote Speaker: International Society of Magnetic Resonnance in Medicine (ISMRM) Workshop, Zhengzhou, China:
      “Brain Molecular Imaging: From Normal Function to Disease State”.

      2019:    Invited Plenary Speaker: Nanjing General Hospital, Nanjing, China:
      “Oncologic Molecular Imaging Using PET/MR”.

      2019:    Invited Speaker: 2019 Ultra High Sensitivity PET, Linyi, China:
      “Brain Molecular Imaging”.

      2019:    Invited Plenary Speaker: International Biomedical Engineering Symposium (IBES), Incheon, Korea: “Innovation & Translation in Molecular Imaging in the era of Big Data”.

      2019:    Invited Plenary Speaker: 2nd International Conference on Medical Imaging, Boston, MA:
      “Imaging Patho-Physiology with PET and MR”.

      2019:    Invited Speaker: Radiological Society of North America (RSNA) Annual Meeting, Chicago IL:
      “PET/MR Physics”.

      2020:    Invited Plenary Speaker: Tsinghua Sanya International Mathematics Forum, Sanya, China:
      “Molecular Imaging in the era of AI”.

      2020:    Invited Speaker: Society of Nuclear Medicine and Molecular Imaging, Mid-Winter Meeting, Tampa, FL:
      “Brain PET in the era of AI”.

      2020:    Invited Speaker: University College London, London, UK:
      “Physiological PET/MR: Beyond Reconstruction”.

      2020:    Invited Keynote Speaker: SPIE Medical Imaging, Houston, TX:
      “Innovations and Translation in Molecular PET/MR and PET/CT”.

      2020:    Invited Grand Round Speaker: University of Chicago, Chicago, IL:
      “Cardiac, Brain and Oncologic PET/MR”.

      2020:    Invited Speaker: Society of Nuclear Medicine and Molecular Imaging (SNMMI), Virtual Annual Meeting:
      “PET/MR Instrumentation”.

      2020:    Invited Plenary speaker; Society of Nuclear Medicine and Molecular Imaging (SNMMI), Virtual Annual Meeting: 
      “Basic Science Plenary Session:  Data Analysis & Instrumentation”.

      2020:    Invited Speaker: International Society of Magnetic Resonnance in Medicine (ISMRM), Virtual:
      “PET/MR/MRSI for Image Guided Radiation Therapy”.

      2020:    Invited Speaker: American Society of Nuclear Cardiology (ASNIC) Annual Meeting, Virtual: “Advanced Strategies for PET Cardiac Quantitation”.

      2020:    Invited Speaker: Society of Pediatric Radiology (SPR) Annual Meeting, Virtual:
      “AI in PET/MR”.

      2020:    Invited Speaker: Radiological Society of North America (RSNA) Annual Meeting, Chicago IL (Virtual):
      “PET/MR Physics and Instrumentation”.

      2020: “Deep learning for image segmentation: magnetic resonance imaging” IEEE Nuclear Science Symposium & Medical Imaging Conference

      2020: “Applications of deep learning in MRI and PET/MRI image formation” RSNA Scientific Assembly & Annual Meeting.

      2020: Invited speaker: “Machine (Deep) Learning for MSK: image acquisition & reconstruction” ISMRM & SMRT Virtual Conference & Exhibition

      2021:    Invited Plenary speaker; Society of Nuclear Medicine and Molecular Imaging (SNMMI), Virtual Annual Meeting:  Basic Science Plenary Session:  Data Analysis & Instrumentation”.

      2021:    Invited Keynote Speaker, New England American Association of Physicists in Medicine, Annual Meeting: “Molecular Imaging and AI in Radiation Therapy:  Quo Vadis ?” (Virtual).

      2021:    Invited Speaker, 7th NIH Brain Initiative Meeting, “Molecular Imaging Brain PET and PET/MR” (Virtual).

      2021:    Invited Keynote Speaker, Emirates International Conference in Nuclear Medicine and Molecular Imaging.  “PET/MR Imaging for guiding therapy” (Virtual).

      2021:    Invited Speaker: Radiological Society of North America (RSNA) Annual Meeting, Chicago IL (Hybrid): “PET/MR Physics and Instrumentation”.

      2021:    Invited Speaker: 4th Annual Cardiovascular Institute Symposium, Stanford University, CA (Hybrid): “Imaging membrane potential in vivo: First in Human studies”.

      2022:    Invited speaker: Ministry of Health, Kuwait: “Basic atomic and nuclear physics”

       “Decay of radioactivity”

       “Scintillation Detectors: Non-imaging”

       “Gamma camera: Basics, operations, consideration”

       “SPECT , filtering, processing”

       “PET: Basics, attenuation correction, artifacts, etc”

       “Hybrid imaging: Basic CT”

       “Challenges and Opportunities afforded by PET/MR”

      2021:   Invited Speaker, Martinos Center for Biomedical Imaging, “Fast high-resolution metabolic imaging with SPICE”

      2022:    Invited Grand Round Speaker, UCLA Cardiovascular Distinguished Seminar Series: “Quantitative Mapping of Cardiac Membrane Potential”, Los Angeles, CA.

      2022:    Invited Keynote Plenary Speaker, Fast Timing in Mecical Imaging Conference, “Clinical and Technical Impact of Fast TOF PET”, Valencia, Spain.

      2022:    Invited Keynote Plenary Speaker, 4th Jagiellonian Symposium on Fundamental and Applied Subatomic Physics, “Clinical and Technical Considerations for Fast TOF PET”, Krakow, Poland.

      2022:    Invited Speaker, Mediterranean Thematic Workshop in Advanced Molecular Imaging, “Clinical and Technical Considerations for Fast TOF and for High Resolution PET”,Portorož, Slovenia.

      Publication List

      Publication List

      Selected publications since establishment of CMITT

      List of Patents

      List of Patents
      • Limited Angle Positron Emission Tomography
        (PTO Serial No. 62/146,004)
        The present invention overcomes the aforementioned drawbacks by providing a method for reconstructing an image from limited angle positron emission tomography (“PET”) data. The method includes providing limited angle PET data to a computer system. This limited angle PET data indicates gamma ray activity in a subject. A reduced angle system matrix that includes rows associated with only view angles represented in the limited angle PET data is selected. The image is then iteratively reconstructed from the limited angle PET data by iteratively solving an optimization problem that includes the selected reduced angle system matrix.
      • System and method for quantitative mapping of mitochondrial complex 1
        (PCT/ US20150246143 A1, CA2920334A1, CN104718299A, EP2882863A1, EP2882863A4, WO2014028392A1)
        Inventors: El Fakhri and Alpert
      • System and method for quantitative mapping of radioactivity production rate during proton therapy  
        (PCT / US20160296766 A1)
        Inventors: El Fakhri, Alpert, Zhu and Grogg
      • System and Method for Correcting PET Imaging Data for Motion Using MR Imaging Data and Tracking Coils
        (PTO Serial No. 61/817/750, S201600773993A1, WO2014179443A1)
        The present disclosure relates generally to medical imaging and, more particularly, to systems and methods for tracking motion during medical imaging procedures using motion tracking coils.
      • System and method for multi-modality time-of-flight attenuation correction
        (PCT/ 20150262389A1, WO2014074148A1)
        Inventors: Li, and El Fakhri
      • Renal Clearable Organic Nanocarriers ( H-Dot)
        (PCT/US2017/039896, WO2018005737A1)
        Disclosed are nanocarriers that include one or more cyclodextrin moieties conjugated to a polymer. The cyclodextrin moieties can complex therapeutic (e.g., anticancer) agents, and can be used to treat diseases such as cancer.
        Inventors: Hak Soo Choi, Homan Kang, Georges El Fakhri
      • Ultrasmall Nanoprobe-Iron Chelator Complex12.  
      • A Method for Quantitative Biological Measurements Using Labeled Responsive Contrast Materials
      • Methods to Automatically Tuning Spatially Variant Hyperparameter for Penalized Maximum Likelihood Estimation.

      Related P41 Biomedical Imaging and Bioengineering centers:

      Other NIBIB-supported Centers for Biomedical Imaging and Bioengineering