2022 IEEE Nuclear Science Symposium, Medical Imaging Conference and

Room Temperature Semiconductor Detector Conference

05 – 12 November 2022, Milano, Italy

Program

Online Program

… information will be posted here later.

NSS Program & Topics

The IEEE Nuclear Science Symposium (NSS) 2022 will bring together the very large international community of detector scientists and engineers in Milano, Italy. The NSS 2022 program incorporates the latest developments in detector technology and materials, new instrumentation techniques, their implementation in high energy and nuclear physics, astrophysics, accelerators, national nuclear security, and many other applications in various types of radiation environments and emerging fields like quantum science, as well as state-of-the-art developments included in the joint sessions with the MIC and RTSD. Special topic workshops will cover areas of specific interests. Short courses on a variety of traditional as well as novel topics of interest proposed by the NSS community will also be offered.

NSS Topics

Authors are invited to submit papers describing their original, unpublished work on one of the topics below:

  • Analog and Digital Circuits
  • DAQ, Trigger, and Front-End Readout Systems
  • Modeling, Computational methods, and Data Analysis
  • Semiconductor Detectors
  • Organic Detectors and Applications
  • Scintillators, Photodetectors and Applications
  • Gaseous Detectors and Applications
  • Neutron Detectors and Gamma Imaging Applications
  • Radiation Damage Effects and Radiation-Hard Detectors and Systems
  • Synchrotron, FEL, and XFEL Detectors
  • Dosimetry and Reactor Applications
  • Astrophysics and Space Instrumentation
  • Quantum Science Instrumentation

NSS Plenary Sessions

… information will be posted here later.

MIC Program & Topics

The IEEE Medical Imaging Conference (MIC)

The IEEE Medical Imaging Conference (MIC) is a leading international scientific meeting to discuss the latest physics, engineering, and mathematical aspects of medical imaging with a particular focus on ionization radiation.

Medical imaging is a continuously growing field while detectors, instrumentation, modern computational methods, and integrated systems are leading the way towards technological advances 

MIC has a unique focus on cutting edge technologies as well as their effective translation to clinical practice. In recent years, interest has increased in applications of machine learning, AI, and other rapidly emerging areas of research which will be also dealt with. Physics and engineering solutions for medical unmet needs are another important topic. 

MIC is an opportunity for students, post-doctoral fellows, and junior and senior researchers from around the world to come together and share their new ideas and results of innovations and scientific endeavors.

The scientific program of the MIC consists of oral and poster sessions, plenary sessions, and a student award session. Regular sessions will be complemented by Short Courses and specialized Workshops covering timely topics in medical imaging and therapy.

MIC Topics

Authors are invited to submit papers describing their original, unpublished work on one of the topics below:

  • New radiation detector technologies for medical imaging
  • Simulation and modeling of medical imaging systems
  • Total body, whole body, and multimodality clinical emission systems
  • High resolution imaging systems (organ-dedicated, small animal systems)
  • X-ray imaging systems (CT, spectral, photon-counting CT)
  • Tomographic reconstruction
  • Quantitative imaging (data corrections, parametric, kinetic modeling)
  • Signal and Image processing, image quality, standardization
  • Radionuclide therapy (image processing, theranostics, dosimetry)
  • Imaging in particle therapy and image guided interventions
  • Emerging applications, new concepts (e.g. low dose lung imaging)

Note: abstracts utilizing deep learning and artificial intelligence will be integrated into the above topics depending on the use case

MIC Plenary Sessions

… information will be posted here later.

RTSD Program & Topics

29th International Conference on Room-Temperature Semiconductor Detectors (RTSD)

The 29th International Conference on Room-Temperature Semiconductor Detectors (RTSD) represents the largest forum of scientists and engineers developing compound semiconductor radiation detectors and imaging arrays operable at room temperature. Room-temperature semiconductor radiation detectors are finding increasing applications in such diverse fields as medicine, homeland security, radiography, astrophysics and environmental monitoring. The objective of this conference is to provide a forum for discussion of the state-of-the-art of room-temperature-operating detector technology based on compound semiconductors, including materials improvement, material and device characterizations, fabrication, electronic readout and applications. To provide a comprehensive review, oral and poster presentations representing a broad spectrum of research and development activities emphasizing semiconductor detectors or imaging devices are sought.

RTSD Topics

Authors are encouraged to submit abstracts on original work related to the following topics:

  • Compound Semiconductor Materials for Radiation Detection
  • Organic and Perovskite Materials for Radiation Detection
  • Crystal Growth, Materials and Defects Characterization
  • Properties of Electrical Contacts and Device Fabrication Technology
  • Radiation Damage, Long-Term Stability and Environmental Effects
  • Pixel, Strip, Frisch-Grid and Discrete Semiconductor Detectors
  • Detector/ASIC Hybridization, Interconnects and Electronics
  • Scintillator/Semiconductor Array Hybrids
  • Semiconductor Neutron Detectors
  • 3D Photon Tracking Detectors and Image Reconstruction Technology
  • Spectrometer Systems for Homeland Security, Nuclear Inspections, Safeguards, Portal Monitoring, and Other Uses
  • Imaging Systems based on Compound Semiconductor Detectors for Medical, Astrophysics, Non-Destructive Testing, Cargo Monitoring, and Other Uses

RTSD Co-Chairs

Beatrice Fraboni

Michael Fiederle

Short Courses

The 2022 NSS-MIC Short Courses program offers seven courses on established and emerging areas of interest to the NSS and MIC attendees, including topics of mutual interest for both communities. All courses are run by experts in their respective fields and include theoretical background alongside applications and practical examples. The program on offer this year includes popular courses from previous years. This year the Short Courses program runs from Saturday 5th to Tuesday 7th of October, with NSS short courses primarily on Saturday and Sunday, and MIC short courses on Monday and Tuesday.

For more information, please contact: nssmic2022@ieee.org

Course title:

Semiconductor Radiation Detectors

Course organizer:

Lothar Strüder

Date/time/venue:

Saturday, 5 November 2022 – 8:30h – 17:30h – Green 1

Instructors:

Peter Fischer, University of Heidelberg, Germany
Alan Owens, ESTEC, ESA, The Netherlands
Lothar Strüder, PNSensor and University of Siegen, Germany
Peter Verhoeve, ESTEC, ESA, The Netherlands

Course description:

This one-day course provides an overview of basic semiconductor detector principles, detector concepts and applications in various fields of basic and applied sciences as well as in industrial use. The main focus is on understanding the fundamental processes that govern the operation and performance of semiconductor detectors. The physical limits of measurement precision will be discussed as well as the achieved approaches towards those limits. The level of presentation is best suited to those with some prior background in ionizing radiation mechanisms. Those with prior experience in radiation measurements would consolidate and expand their experience base. A complete set of course notes is provided to all registrants. We recommend the following textbooks to go along with this short course (1) G. Lutz, Semiconductor radiation detectors, Springer and (2) Alan Owens, Compound semiconductor detectors, CRC Press.

Course outline:

(1) Semiconductor detectors, concepts and applications

  • Interaction of radiation with matter
  • Detector materials
  • Detector principles and concepts
  • Detector properties
  • Limits of measurement precision
  • Applications in science and industry

(2) Silicon photomultipliers

  • Basic principles of SPADs, SiPMs and LGADs
  • Detector properties: gain, QE, fill factor, crosstalk, after-pulsing, temperature dependence, . . .
  • Digital SiPMs
  • Applications

(3) Compound semiconductor detectors

  • Detector materials
  • QE
  • Trapping, de-trapping, energy resolution, position resolution longterm stability, radiation damage, . . .
  • Limitations by noise, basic physical processes, . . .
  • Applications in astronomy, medical science, nuclear physics,

(4) Cryogenic detectors

  • Basic principles of STJs, TESs, MKIDs, cryo-technology
  • Detector properties: energy resolution, count rate, QE
  • Readout of arrays, multiplexing technologies
  • Applications in astronomy, material science, WIMPs, . . .

Instructors

Lothar Strüder is CEO of the company PNSensor.  He earned his Ph.D. in Experimental Physics at the TU Munich in 1988, and serves as Professor in Experimental Physics at the University of Siegen, Germany.  His interests generally include position-, energy-, and time-resolving detectors for photons and particles. 
His main scientific achievements are the pnCCD camera on ESAs satellite XMM-Newton, the focal plane array sensors for eROSITA on SRG, the cameras for the X-ray Free Electron Lasers LCLS, FLASH and EuXFEL and the Active Pixel Sensors DePFET for the ESAs satellite BepiColombo. He received numerous awards and holds 15 patents. He has authored and co-authored more than 400 refereed publications.

Peter Fischer is a professor at Heidelberg University. During his PhD in Experimental Physics in Heidelberg he used the first custom readout ASICs for operating large area gas detectors. As a postdoc at Bonn University, he established a lab for microelectronics chip design, with a focus on strip- and pixel detectors. He has then contributed ASIC developments for ATLAS, Belle II, CBM, XFEL, ESRF and for space experiments. His interest in SiPMs started with the development of PET readout ASICs and led more recently to the design of several CMOS based SPAD array chips. He has authored or co-authored more than 300 refereed publications and has filed 6 patents.

Alan Owens holds an honours degree in physics and physical electronics, and a doctorate in astrophysics from the University of Durham, United Kingdom. He spent over 40 years engaged in the design and construction of novel detection systems for X- and g-ray astronomy at the Goddard Space Flight Centre in the USA and at the European Space Agency’s European Space Research and Technology Centre (ESTEC) in the Netherlands. For the last 20 years he has been primarily involved in the development and exploitation of new technologies for space applications. Much of this work revolves around compound semiconductors for radiation detection and measurement, which by its very nature involves materials and systems at a low maturity level. Consequently, he has been involved in all aspects of a systematic and long-term program on material assessment, production, processing, detector fabrication, and characterization for a large number of semiconductors. He has authored and co-authored more than 300 refereed publications and 3 books.

Peter Verhoeve is a senior scientist in the European Space Agency’s (ESA) Future Science Missions Department. He earned his PhD in experimental physics in 1988 at  the University of Nijmegen, the Netherlands. After a postdoctoral position at the Space Research Organization of the Netherlands (SRON), dedicated to the early development phase of the CCD detectors for the RGS instrument on ESA’s X-ray observatory XXM-Newton, he moved to ESA’s Scientific Support Department. Here he worked on the development of Superconducting Tunnel Junction  Detectors (STJs) as potential next generation detectors for x-ray astronomy, and as photon counting and wavelength discriminating detectors for niche applications in ground-based astronomy in the visible. In his current position in ESA’s Science Future Missions Department, he is involved as a detector specialist in various astronomical mission studies and projects, as well as in ESA-initiated technology development activities for cryogenic detectors and associated readout techniques.

Course title:

Front-End Electronics for Radiation Detectors

Course organizer:

Gianluigi De Geronimo

Date/time/venue:

Saturday, 5 November 2022 – 8:30h – 17:30h – Green 2

Instructors:

Gianluigi De Geronimo
Angelo Geraci
Piero Malcovati
Lodovico Ratti

Course description:

Successful front-end electronics developments are the result of a close collaboration between electronics engineers and a broad range of detector and system-level specialists. Conceived by four experienced instructors, this one-day course aims at providing participants with the fundamental concepts needed to understand front-end design and facilitate communications and collaborations. The first part of the course introduces less experienced circuit designers, physicists and other detector specialists to the fundamentals of low-noise front-end circuit design. The second part deepens into three selected subjects of current interest: radiation tolerance, analog-to-digital conversion and digital signal processing.

Course outline:

8:00 – 10:30 – Fundamentals – Gianluigi De Geronimo (Coordinator)

  • Noise sources and equivalent noise charge
  • Noise analysis in frequency and time domain
  • Charge amplifier design
  • Filter design
  • Mixed-signal circuits

10:50 – 12:30 – Radiation Tolerance – Lodovico Ratti

  • Introduction: radiation environments and radiation sources
  • Ionizing radiation effects on MOSFET transistors
  • Ionizing radiation effects: from low to extreme doses
  • Ionizing radiation effects: from bulk CMOS to finFETs
  • Rad-tolerant design strategies
  • Effect of bulk damage on the dark count rate in CMOS SPADs

14:30 – 16:00pm – Analog-to-Digital Conversion – Piero Malcovati

  • A/D conversion fundamentals
  • Performance metrics
  • ADC topologies
  • Critical design aspects
  • Design examples

16:30 – 18:00 – Digital Signal Processing – Angelo Geraci

  • Information focusing
  • Time and frequency domains
  • Spatial and temporal computing

Instructors

Gianluigi De Geronimo received his M.S. and Ph.D. from the Electronics and Communications Department of Milan Polytechnic, Italy, in 1993 and 1997 respectively. In September 1997 he joined the Instrumentation Division of Brookhaven National Laboratory in NY where he specialized in the design of low-noise integrated circuits for ionizing radiation detectors growing from assistant scientist to tenured and head of microelectronics. He developed several front-end ASICs for a wide range of applications in medical imaging, space, security, defense, and physics research. Dr. De Geronimo has co-authored over 150 scientific publications and two book chapters and is recipient of the 2008 BNL Science and Technology Award, 2009, 2011, and 2014 R&D 100 Award, 2012 CSIRO Award, 2012 Battelle Inventor of the Year Award, 2018 IEEE LI Section Charles Hirsch Award. He is currently a research scientist and professor with the University of Michigan, professor with the Stony Brook University, consultant, and editor for IEEE Transactions on Nuclear Science.

Lodovico Ratti (M’ 2000, SM’2013) is full professor of electronics with the University of Pavia, Department of Electrical, Computer and Biomedical Engineering, Italy. His main expertise is in the field of front-end electronics for highly segmented radiation detectors and monolithic sensors, mainly using CMOS processes, and of ionizing radiation effects, bulk damage and noise characterization in microelectronic devices and circuits. The target applications are in the area of high energy physics, astrophysics and photon science experiments. Lodovico Ratti is a member of the Radiation Instrumentation Steering Committee (RISC) of the Nuclear and Plasma Science Society (NPSS) and Chair of the Nuclear and Plasma Sciences (NPS) Italy Chapter. He is a technology research fellow with the Italian Institute for Nuclear Physics (INFN). He is author or co-author of 280 among papers published in peer-reviewed journals or conference proceedings, works presented at international conferences and book chapters.

Piero Malcovati received the M. Sc. degree in Electronics from University of Pavia, Italy in 1991 and the Ph. D. degree from ETH Zurich in 1996. From 1996 to 2001 he has been Assistant Professor and from 2002 to 2017 Associate Professor at the Department of Electrical, Computer, and Biomedical Engineering of the University of Pavia. From 2017 he is Full Professor in the same institution. His research activities are focused on microsensor interface circuits, high-performance data converters and integrated power management circuits. He authored more than 400 papers and holds 19 patents. He is co-recipient of the best paper awards at ESSCIRC 2007, ESSCIRC 2015 and CICC 2020. He served as TPC Chairman of PRIME 2006, ICECS 2009, PRIME 2013, and ESSxxRC 2022. He has been member of the TPC of several conferences, including ISSCC and ESSCIRC. He is Associate Editor of the IEEE Journal of Solid-State Circuits, Editor in Chief of the Journal of Circuits, Systems, and Computers, and Deputy Editor in Chief of the Journal of Analog Integrated Circuits and Signal Processing.

Angelo Geraci received with honors his MSc in Electrical Engineering and PhD in Electronics and Communication Engineering from Politecnico di Milano where he is associate professor at Department of Electronics. His main research interests are digital systems based on configurable devices (FPGAs, DSPs and SoC) in the areas of smart mobility, radiation detection, medical imaging, industrial and environmental applications. Lecturer of digital electronic courses at the School of Industrial and Information Engineering and at the PhD program in Information Technology of Politecnico di Milano. He is scientific collaborator of the Italian INFN and Senior Member of IEEE. He is Member of the Directive Board and Deputy Coordinator of the PhD School in Information Engineering at Politecnico di Milano. Referee for several international journals, he is author and co-author of more than 350 scientific international papers. Co-founder of 2 companies, he has been managing many R&D projects of product innovation through digital electronics in cooperation with private and public companies.

Course title:

Organic flexible electronics for radiation detectors

Course organizer:

Dario Natali

Date/time/venue:

Sunday, 6 November 2022 – 8:30 – 17:30 – Green 1

Instructors:

Dario Natali
Beatrice Fraboni
Mario Caironi

Course description:

Organic semiconductors are both a subject of advanced research worldwide and have already shown to offer interesting opportunities in the realization of new products of high innovative content. The interest in organic semiconductors stems not only from their intriguing optoelectronic properties – which can be chemically tailored- but also from their chemical and physical peculiarities, such as the mechanical flexibility, processability at almost room temperature and on virtually arbitrary substrates, compatibility with large area coverage. Most notably, thanks to the solution processability, organic semiconductors can be processed as functional inks and dispensed by means of techniques adapted from the graphic arts, such as flexography, gravure, screen-, aersol- and inkjet- printing. All these features offer a stimulating environment for the development of both direct and indirect ionizing radiation detection systems.

The course will firstly illustrate the physical and optoelectronic properties of organic semiconductors, and then will focus on the working principles and architectures of organic-based radiation detectors. Finally, an overview of recent realizations in the field will be given.

The intended audience is anyone who would like to be informed on status and perspective of this emerging technology for radiation detectors.

Course title:

Machine Learning: An Introduction Through Nuclear Science

Course organizer:

James Ghawaly

Date/time/venue:

Sunday, 6 November 2022 – 8:30 – 17:30 – Green 2

Instructors:

James Ghawaly is an applied data scientist in the Advanced Radiation Detection, Imaging, Data Science, and Applications Group at Oak Ridge National Laboratory. He holds a B.S. in nuclear engineering, a MS in computer engineering, and a PhD in nuclear engineering from the University of Tennessee Knoxville. During his PhD, he developed a deep learning-based radiation source detection algorithm for use in highly dynamic background radiation environments. At ORNL, his primary research focus is on the application of modern machine learning techniques (especially deep learning) to passive radiation detection, radioisotope identification, and source localization. He also leads and performs research and development efforts in neuromorphic computing, primarily for real-world applications. He has additionally played an integral part in a variety of projects involving multimodal sensing, 3D environment reconstruction using simultaneous localization and mapping, and systems integration for field able radiation detector system development.

Course description:

This full-day course will provide a broad introduction to modern machine learning concepts, presented through the lens of nuclear science applications. The course will consist of lectures, discussion, and interactive code demonstrations on nuclear science relevant datasets. The course is intended to provide the participant with enough knowledge to understand the basic principles of machine learning algorithms to be able to identify relevant models and approaches for their intended application. The course will broadly cover parametric and non-parametric algorithms, neural networks and the backpropagation algorithm, and unsupervised learning and dimensionality reduction. All course materials will be made available, including a Git repository containing code for each of the interactive sessions.

Course outline:

  1. Parametric Machine Learning
    1. Linear Regression and Gradient Descent
    2. Logistic Regression
  2. Non-parametric Machine Learning
    1. Support Vector Machines
    2. Random Forests
  3. Neural Networks
    1. Dense Networks
    2. Backpropagation
    3. Convolutional Networks
  4. Unsupervised Learning
    1. Autoencoders
    2. PCA and NMF
    3. Clustering
  5. Best Practices
    1. Choosing a model
    2. Cross Validation
    3. Interpretability

10:50 – 12:30 – Radiation Tolerance – Lodovico Ratti

  • Introduction: radiation environments and radiation sources
  • Ionizing radiation effects on MOSFET transistors
  • Ionizing radiation effects: from low to extreme doses
  • Ionizing radiation effects: from bulk CMOS to finFETs
  • Rad-tolerant design strategies
  • Effect of bulk damage on the dark count rate in CMOS SPADs

14:30 – 16:00pm – Analog-to-Digital Conversion – Piero Malcovati

  • A/D conversion fundamentals
  • Performance metrics
  • ADC topologies
  • Critical design aspects
  • Design examples

16:30 – 18:00 – Digital Signal Processing – Angelo Geraci

  • Information focusing
  • Time and frequency domains
  • Spatial and temporal computing

Course title:

Fast-timing scintillation detectors and their use in time-of-flight PET

Course organizer:

Dennis R. Schaart, Delft University of Technology

Date/time/venue:

Monday, 7 November 2022 – 8:30 – 17:30 – Green 1

Instructor:

Dennis R. Schaart heads the Medical Physics & Technology section at Delft University of Technology (TU Delft). He worked in academia as well as in the medical device industry, always at the intersection of physics, technology, and medicine. He started as an R&D physicist at Nucletron (now Elekta), where he developed new devices for radiotherapy. He obtained his doctoral degree (with highest honors) in 2002. He then joined TU Delft to set up a new research line on in-vivo molecular imaging technology, with special focus on ultrafast detectors for time-of-flight positron emission tomography (TOF-PET). His team was among the first to explore the use of silicon photomultipliers (SiPMs) in TOF-PET and has published many works on the fundamentals of SiPM-based detectors and the theory of scintillation detector timing. Dennis’ current research interests range from novel molecular imaging technologies to image guidance in radiotherapy. He leads the Technology for Oncology programme of the TU Delft Health Initiative and serves as a member of the R&D Program Board of the Holland Particle Therapy Centre (HollandPTC). He has (co-)authored more than 150 peer-reviewed papers and is a frequently invited speaker.

Course description:

Remarkable progress is being made with regard to the timing performance of scintillation detectors. For example, the time resolution of clinical time-of-flight PET systems has improved from 500 – 700 ps FWHM in the second half of the 2000s to about 200 ps FWHM for the latest available systems. In the laboratory, coincident detection of annihilation photon pairs with a time resolution of about 30 ps FWHM has recently been demonstrated. These advancements are driven by innovations in scintillation materials, photosensors, readout electronics, detector design, and signal processing. In addition to medical applications, the results of these developments can be applied in many other domains, such as materials science, nuclear physics, and high-energy physics.

The improvement of scintillation detector time resolution requires the optimization of the entire detection chain. A sound understanding of the underlying physics and statistics greatly facilitates such efforts. Therefore, a substantial part of the course will be devoted to the theory of scintillation detector time resolution. It will be shown how the physical limits of time resolution are governed by scintillation photon counting statistics and, as such, by fundamental properties of the scintillator (such as its light yield and pulse shape) and the photosensor (e.g. its photodetection efficiency and single-photon time resolution).

Based on the insights offered by this analysis, we will study the history, state-of-the-art, and ongoing developments in scintillation materials and photosensors. Special attention will be paid to detectors based on silicon photomultipliers (SiPMs), as the introduction of this new light sensing technology has been a main driver of time resolution improvement in time-of-flight PET since several years. Attention will also be paid to the increasing importance of detector design, which affects the kinetics of scintillation photon transport, as well as on the possibilities to mitigate the resulting loss of time information though the concept of time resolution recovery.

 

Course title:

Image reconstruction and AI

Course organizer:

Andrew J. Reader, Ph.D. (King’s College London, UK)

Date/time/venue:

Tuesday, 8 November 2022 – 14:30 – 18:30 – Green 1

 

Course description:

Course Description: This half-day course starts from the fundamentals of tomographic medical image reconstruction (direct and iterative reconstruction methods) and then develops these into the broad spectrum of deep-learning approaches related to image reconstruction. These include direct inversion methods through to regularisation (analysis) and synthesis approaches using deep learning. Positron emission tomography (PET) will be the primary example, but the principles are applicable to other medical imaging modalities. The course also covers basic practical implementation principles using PyTorch to create trainable computational graphs for image reconstruction from sinograms.

Course outline:

  1. Brief review of image reconstruction and deep learning
  2. Deep learning image reconstruction: theory
    • Learned filtered backprojection (LFBP)
    • Data-driven methods: e.g. DeepPET, DPIR-Net, AUTOMAP
    • Incorporating the imaging model: e.g. learned primal dual (LPD)
    • Deep learned regularisation for iterative reconstruction (e.g. FBSEM-Net)
    • Deep learned representations (e.g. deep kernel, deep image prior)
  1. Deep learning image reconstruction: practical principles
    • PyTorch basics for setting up trainable image reconstruction networks
    • Learned FBP
    • Deep image prior
    • Unrolled iterative deep-learned reconstruction

Instructor

Andrew Reader is a Professor of Imaging Sciences at King’s College London, United Kingdom. He received his Ph.D. in medical physics from the University of London in 1999 on the subject of PET image reconstruction. Prior to joining the School of Biomedical Engineering and Imaging Sciences at King’s College London in 2014, he was a Canada Research Chair at McGill University and the Montreal Neurological institute for 6 years. He is an Associate Editor of IEEE TRPMS and has co-authored over 200 scientific outputs. His main research interests include PET-MR, multi-modal image reconstruction and medical image analysis, all now with a primary emphasis on exploiting deep learning.

Course title:

PET Kinetic Modeling and Parametric Imaging

Course organizer:

Guobao Wang

Date/time/venue:

Tuesday, 8 November 2022 – 8:30 – 17:30 – Green 2

Instructors:

Carson, Richard E. (Yale University, USA) 
Gunn, Roger N. (Invicro & Imperial College London, UK) 
Normandin, Marc D. (Massachusetts General Hospital, USA) 
Wang, Guobao (University of California at Davis, USA)

Course description:

Dynamic PET imaging with tracer kinetic modeling can provide images of physiologically important parameters that have the advantages of creating higher lesion contrast, being quantitative, and allowing single tracer multiparametric imaging as compared to standard static images. Conventionally, dynamic PET parametric imaging was hampered by limited scanner sensitivity and axial field-of-view. State-of-the-art commercial PET scanners now have achieved unprecedented sensitivity and also enabled simultaneous dynamic imaging of the entire body. It is becoming increasingly feasible to exploit kinetic modeling and parametric imaging for various clinical applications. This course will provide an overview of the basics of PET tracer kinetic modeling and parametric imaging and clinical applications.  It will also cover recent advances in total-body PET kinetic modeling. The intended audience is anyone who would like to gain a better understanding of PET kinetic modeling and parametric imaging.

Course outline:

  • Basics of dynamic PET quantification
  • Compartment modeling
  • Graphical and linearized models
  • Reference-tissue modeling methods
  • Direct estimation of kinetic parameters
  • Total-body PET kinetic modeling and parametric imaging
  • Oncological and cardiac applications
  • Brain applications
  • Lung and liver applications

Special Events

Women in Engineering (WIE) Luncheon

Date: Thursday, November 10, 2022
Time: 12:00h – 14:00h
Room: Green 1&2

… more info will come soon.

GATE User Meeting

Date: Thursday, November 10, 2022
Time: 12:45h – 14:15h
Room: Turquoise 2

GATE is an advanced open source software developed by the international OpenGATE collaboration and dedicated to numerical simulations in medical imaging and radiotherapy. GATE is based on the Geant4 toolkit. 
It currently supports simulations of Emission Tomography (Positron Emission Tomography – PET and Single Photon Emission Computed Tomography – SPECT), Computed Tomography (CT), Optical Imaging (Bioluminescence and Fluorescence) and Radiotherapy experiments. Using an easy-to-learn macro mechanism to configurate simple or highly sophisticated experimental settings, GATE now plays a key role in the design of new medical imaging devices, in the optimization of acquisition protocols and in the development and assessment of image reconstruction algorithms and correction techniques. It can also be used for dose calculation in radiation therapy, brachytherapy or any other application.

We encourage our community of users to participate in our annual workshop, the objectives will be to better understand the latest innovative applications in the field of imaging, to identify certain limits and to propose solutions adapted to the improvement of simulation practices.

Chair: Lydia Maigne

STIR Users and Developer's workshop

Date: Thursday, November 10, 2022
Time: 19:00h – 21:00h
Room: Green 1&2
Submission Deadline: 30. September 2022

STIR is an open-source software for use in tomographic image reconstruction (http://stir.sf.net). Its aim is to provide a multi-platform object-oriented framework for all data manipulations in emission tomography. Currently, STIR supports data from various clinical and preclinical scanner manufacturers and simulation toolkits (e.g. GATE, SimSET). More recently, STIR has been updated to reconstruct images for long axial field of view scanners but also for dedicated organ specific systems demonstrating its adaptive potential.  The main supported modalities are PET and SPECT with sinogram and list-mode reconstruction and processing functionalities.

The annual meetings during the IEEE NSS/MIC conference provide the opportunity for experienced users and developers to present their recent work with STIR with a technical emphasis on software and algorithmic development. In addition, new users and developers can benefit by presenting their results to the rest of STIR’s community and receive direct feedback.

Workshop

Accepted contributions will also be eligible for regular submission as Conference Record, and more information on deadlines and format is given on the publication page.

More information along with the contact data of the organizers is given in the detailed workshop description below.

We warmly encourage everyone who is interested in these topics to register if needed and attend the workshop, actively contributing with very fruitful discussions and new ideas.

Low dose PET imaging challenge workshop

Date: Saturday, 12 November 2022
Time: begin 14:30
Room: Meeting Room tbd
Subm. Deadline    30 September 2022, midnight, UTC-10:00

Description : … will come soon.

Organizer: Kuangyu Shi