NSS Program & Topics
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Authors are invited to submit papers describing their original, unpublished work on one of the topics below: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 Electronics Systems
- AI and Machine Learning for Radiation Detection
- Modeling, Computational Methods, and Data Analysis
- Neutron and Gamma ray Imaging
- Photodetectors
- Organic Scintillators
- Inorganic Scintillators
- Semiconductor and Gaseous Detectors
- Unconventional Detectors
- Nonproliferation, National, and Homeland Security
- Safeguards, treaty verification, contraband detection
- Nuclear and High-Energy Physics, and Astrophysics
- Radiation Damage Effects and Rad-Hard Devices
- Nuclear measurement, dosimetry and reactor applications
The IEEE Nuclear Science Symposium (NSS) brings together the very large and diverse international community of ionizing radiation detector scientists and engineers. We look forward to welcoming you in the beautiful city of Tampa in 2024!
The NSS 2024 program incorporates the latest developments in detector technology and materials, new instrumentation techniques, their implementation in high energy and nuclear physics, astrophysics, accelerators, nuclear security, and many other applications in various types of radiation environments. The program will also include emerging fields and current hot topics in nuclear science instrumentation.
Interdisciplinary state-of-the-art developments will be included in the joint sessions with the MIC and RTSD. Special topic workshops will cover areas of specific interests and short courses will be offered on a variety of traditional and novel topics of interest to the NSS community.
NSS Plenary Sessions
Thea Klaeboe Aarrestad is a fellow at the Institute for Particle Physics and Astrophysics at ETH Zürich. She holds a PhD in Particle Physics from the University of Zürich and has worked as a research fellow at CERN in Geneva before moving to ETH. Her research centers on how Machine Learning can be applied to particle physics problems, especially focusing on using real-time Machine Learning (ML) and anomaly detection for discovering new physics phenomena. She has worked on tools for performing low-power, nanosecond ML inference on field-programmable gate arrays (FPGAs), as well as developing new ML-based methods for collecting and analysing proton collision data at the CERN Large Hadron Collider. She holds several publications in the topics of machine learning and particle physics in journals like Nature Machine Intelligence, PRL and JHEP. She also coordinates the Fast Machine Learning for Science Laboratory and the Targeted Systems Group within the Accelerated AI Algorithms for Data-Driven Discovery (A3D3) Institute.
At the CERN Large Hadron Collider (LHC), real-time event filtering systems must process millions of proton-proton collisions every second on field programmable gate arrays (FPGAs) and perform efficient reconstruction and decision making. Within a few microseconds, over 98% of the collision data must be discarded fast and accurately. As the LHC is upgraded to its high luminosity phase, HL-LHC, these systems must deal with an overwhelming data rate corresponding to 5% of the total internet traffic and will face unprecedented data complexity. In order to ensure data quality is maintained such that meaningful physics analyses can be performed, highly efficient ML algorithms are being utilised for data processing. This has necessitated the development of novel methods and tools for extremely high throughput, ultra low latency inference on specialised hardware.
In this talk, we will discuss how real-time ML is used to process and filter enormous amounts of data in order to improve physics acceptance. We will discuss state-of-the-art techniques for designing and deploying ultrafast ML algorithms on FPGA and ASIC hardware. Finally, we will explore applications of real-time inference in particle physics experiments and beyond.
Nerine Cherepy has been a Research Scientist at Lawrence Livermore National Laboratory since 1998, after earning her PhD at the University of California, Berkeley and completing a postdoctoral and teaching appointment at the University of California, Santa Cruz. She is working on the development of light-emitting materials – single crystals, transparent ceramics, phosphors and plastics – for uses in ionizing radiation detection, imaging screens, lighting and laser optics. She is an SPIE Fellow (2018), a Senior Member of IEEE (2014), serves as an Associate Editor for IEEE TNS (since 2015), and has contributed to three winning R&D 100 awards.
Transparent ceramics are polycrystalline, monolithic, fully-dense optics that offer advantages over single crystals and glasses, as they are amenable to production of high uniformity plates as well as volumetric optics with uniform doping, needed for high performance scintillators. The rugged mechanical properties of transparent ceramics facilitate easy machining and deployment into harsh environments. For lens-coupled radiographic imaging, thin transparent scintillators with low optical scatter are required. Our team developed the bixbyite (Gd,Lu,Eu)2O3, or “GLO,” scintillator, offering high density (9.1 g/cm3) and high light yield for MeV radiography and computed tomography. We have fielded multiple 14” x 14” GLO plates into X-ray CT systems to achieve high efficiency while preserving spatial resolution. Ce-doped Gd garnet transparent ceramics provide the high light yield needed for high energy resolution gamma spectroscopy. The scintillation physics of garnet ceramics may be tuned by controlling the intra-band gap trap state distribution, thereby optimizing the light yield proportionality, pulse duration and afterglow. Recent advances in fabrication and implementation of ceramic scintillators into systems will be described.
Nerine Cherepy
Dr. Nina Lanza is a staff scientist in Space Science and Applications (ISR-1) at Los Alamos National Laboratory. She is the Principal Investigator of the ChemCam instrument onboard the Mars Science Laboratory Curiosity rover and a science team member for the SuperCam instrument onboard the Mars 2020 Perseverance rover. Her current research focuses on understanding the origin and nature of manganese minerals on Mars and how they may serve as potential biosignatures. She is also studying how sound on Mars may help to identify rock coatings, which provide a record of the interaction between rock, atmosphere, water, soil, and potentially life. Dr. Lanza has authored over 60 peer-reviewed publications, including two first-author book chapters. Dr. Lanza has done geologic fieldwork in numerous locations across the world including the Miller Range, Antarctica; Devon and Axel Heiberg islands in the Canadian Arctic; Rio Tinto, Spain; Death Valley, CA; Black Point Lava Flow, AZ; Green River, UT; as well as many sites across New Mexico. Notably, she was a field team member for the Antarctic Search for Meteorites (ANSMET) project during the 2015 – 2016 season, for which she recovered meteorites from remote field locations in Antarctica. She is also a regular contributor on the television series How the Universe Works (The Science Channel). Dr. Lanza was educated at Smith College (AB), Wesleyan University (MA), and the University of New Mexico (PhD). She is thrilled to be living her childhood dream of working on a spaceship.
Mars has long captured our imaginations as a potential home for past, present, and future life. Current tools now allow for these questions to be addressed scientifically. There are two NASA-led rovers, Curiosity and Perseverance, currently exploring the surface of Mars that seek to answer these questions in different ways. Curiosity has been exploring the martian surface for the past 12 Earth years, while Perseverance landed almost four Earth years ago. Each rover is equipped with an instrument payload designed to answer fundamental questions about martian geology, climate, habitability, and the possibility for past life. While Mars and Earth have had very different histories and evolutionary paths, our deep and evolving knowledge of Earth provides us with critical context in which to interpret data returned from Mars. In this talk, we will discuss ongoing work from both rover missions, including plans for returning geologic samples from Mars to Earth for the very first time.
Dr. Nina Lanza
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 innovations in medical imaging with a particular focus on applications of ionizing radiation.
Medical imaging is a continuously growing field where technical advances in detectors, instrumentation, computational methods, and integrated systems pave the way towards advances in clinical detection, diagnosis, treatment, and monitoring as well as clinical research into the underlying mechanisms of disease and treatment. In recent years, there has been increased interest in applications of machine learning, AI, and other rapidly emerging areas of research, and innovations in these areas continue to play an increasing role in medical imaging.
MIC is an opportunity for students, post-doctoral fellows, and junior and senior researchers from around the world to come together to 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 multi-modality clinical emission systems
- High resolution imaging systems (organ-dedicated, small animal systems)
- X-ray imaging systems (CT, spectral CT, photo-counting CT)
- Tomographic reconstruction techniques
- Quantitative imaging
- Kinetic Modeling
- Signal and image processing, image assessment, standardization
- Applications in brain and body
- Emerging applications, new concepts (e.g., self-collimation in SPECT)
- Imaging in particle therapy and image-guided interventions
RTSD Program & Topics
Room Temperature Semiconductor Detector Conference (RTSD)
The Room Temperature Semiconductor Detector Conference (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 for room-temperature-operating detector technology based on compound semiconductors, including materials improvement, material and device characterizations, fabrication, electronic readout, system development and applications. To provide a comprehensive review, oral and poster presentations representing a broad spectrum of research and development activities emphasizing compound semiconductor detectors or imaging devices are sought.
RTSD Topics
Authors are invited to submit papers describing their original, unpublished work on one of the topics below:
- Compound Semiconductor Materials for Radiation Detection
- Organic and Perovskite Materials for Radiation Detection
- Crystal Growth, Materials and Defect 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
- Compound Semiconductor Neutron Detectors
- 3D Photon Tracking Detectors and Image Reconstruction Technology
- Use of AI/ML tools for Analysis of Detector Signals and Decision Making
- 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, Environmental Monitoring and Other Uses
Short Courses
Please note that this is a two-day course!
|
Course title: |
Radiation Detection and Measurement (2024) |
|
Course organizer: |
David K. Wehe, University of Michigan, USA |
|
Date/time/venue: |
Saturday, 26 Oct. – 8:30 am – 5:00 pm – Venue: tba Sunday, 27 Oct. – 8:30 am – 5:00 pm – Venue: tba |
Instructors:
- Jarek Glodo, Radiation Monitoring Devices, Inc., USA
- Robert Redus, Amptek, Inc., USA
- David Wehe, University of Michigan, USA
- Florian Brunbauer, CERN, Switzerland
- Lothar Strueder, PNSensor GmbH, Germany
Course Description
This 2-day course provides an overall review of the basic principles that underlie the operation of all major types of instruments used in the detection and spectroscopy of charged particles, gamma rays, and other forms of ionizing radiation. Examples of both established applications and recent developments are drawn from areas including particle physics, nuclear medicine, homeland security, and general radiation spectroscopy. Emphasis is on understanding the fundamental processes that govern the operation of radiation detectors, rather than on operational details that are unique to specific commercial instruments. This course does not cover radiation dosimetry nor health physics instrumentation. The level of presentation is best suited to those with some prior background in ionizing radiation interaction mechanisms. Those with prior experience in radiation measurements would benefit from discovering concepts and applications outside their experience base. A complete set of course notes is provided to registrants, and a recent copy of Radiation Detection and Measurement by G. F. Knoll is highly recommended.
Course Outline
I. Fundamental Concepts in Ionizing Radiation Detection
II. Gas-Filled Detectors
III. Scintillation Detectors
IV. Semiconductor Detectors
V. Analog and Digital Electronics for Radiation Measurements
VI. Pulse Shape Discrimination and Multi-modality Sensing
VII. Recent Detector Developments and Summary
Instructors’ Biographies
ROBERT REDUS is a Member of the IEEE and is the Chief Scientist and Director of Engineering at Amptek, an Ametek company in Bedford, MA. He has spent over thirty years designing instruments for radiation detection and measurement, for many applications and many customers. These include X-ray spectroscopy, gamma-ray spectroscopy using compound semiconductors, scintillators, and HPGe detectors, and space radiation measurements.
JAREK GLODO is Senior Scientist and Team Leader at Radiation Monitoring Devices, Inc. His research areas of interest include novel scintillation materials for high resolution gamma-ray spectroscopy including CeBr3, LuI3:Ce and SrI2:Eu and dual mode scintillators such as Cs2LiYCl6:Ce, Cs2LiLaBr 6:Ce and Cs2LiLa(Br,Cl)6:Ce for combined detection of gamma-rays and neutrons. He has also worked in the areas of ceramic scintillators including garnets and silicates, and organic crystalline and plastic scintillators for neutron detection.
FLORIAN BRUNBAUER is working on the development of novel gaseous detectors. Florian is a Fellow in the CERN Gaseous Detector Development (GDD) group. Florian joined CERN with a focus on optical readout of MicroPattern Gaseous Detectors (MPGDs). He explored applications of scintillation light readout for GEM detectors in TPCs, beam monitoring applications and radiation imaging. He is working on precise timing detectors based on the Picosec Micromegas concept as well as exploring novel MPGD technologies.
LOTHAR STRUEDER is the scientific director of PNSensor GmbH and professor at the University of Siegen. He earned his Ph.D. in Experimental Physics at the TU Munich in 1988. His interests include position-, energy-, and time-resolving detectors for photons and particles. He is author or co-author of more than 300 technical and scientific publications. He has been issued 13 worldwide patents in scientific instrumentation.
DAVID WEHE is Professor of Nuclear Engineering and Radiological Sciences at University of Michigan. He worked at the Oak Ridge National Laboratory as a Wigner Fellow, and served as Director of the Michigan Phoenix Memorial Project, which included the 2-MW Ford Nuclear Reactor. His teaching and research have focused on applied radiation measurements, as an editor for Nuclear Instruments and Methods in Physics Research, and general chair of the SORMA international conference.
|
Course title: |
Front-End Electronics for Radiation Detectors |
|
Course organizer: |
Gianluigi De Geronimo |
|
Date/time/venue: |
Saturday, 26 Oct. – 8:00 am – 6:10 pm – Venue: tba |
Instructors:
• Gianluigi De Geronimo, University of Michigan, Stony Brook University, and DG Circuits, USA
• Lodovico Ratti, Institute for Nuclear Physics (INFN), Italy
• Yuefeng Zhu, University of Michigan, USA
Course Description
Successful front-end electronics developments are the result of a close collaboration between electronics engineers and a broad range of detector, data acquisition, and system-level specialists. Conceived by three 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 section of the Course introduces less experienced circuit designers, physicists, and other detector specialists to the fundamentals of low-noise front-end circuit design. This year students are required to bring their laptop with pre-installed software (information will be provided) since they will interactively participate with the instructor in examples of noise analysis and front-end electronics design and simulation. The second section of the Course deepens into two selected subjects of broad interest to our community: radiation tolerance and digital signal processing.
Course Outline
1. 8:00am-10:30am (150 minutes) – Fundamentals Part 1 – Gianluigi De Geronimo
• Noise sources and equivalent noise charge
• Noise analysis in frequency and time domain
• Interactive noise analysis, design and simulations
10:30am-10:50am – coffee break
2. 10:50am-12:30pm (100 minutes) – Fundamentals Part 2 – Gianluigi De Geronimo
• Charge amplifier design
• Filter design
• Mixed-signal circuits
• Interactive noise analysis, design and simulations
12:30am-2:20pm – lunch
3. 2:20pm – 4:10pm (110 minutes) – 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
4:10pm-4:30pm – coffee break
4. 4:30pm-6:10pm (100 minutes) – Digital Signal Processing – Yuefeng Zhu
• Fundamentals: sampling theory, time and frequency domain analysis, Fourier transform
• Advanced topics: noise analysis, digital filtering, curve fitting, pulse shape discrimination, principal component analysis
• Case study: CdZnTe signal processing
Instructors’ Biographies
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, in particular based on 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 300 among papers published in peer-reviewed journals or conference proceedings, works presented at international conferences and book chapters, and editor for IEEE Transactions on Nuclear Science, Frontiers in Physics and MDPI Electronics.
YUEFENG ZHU received his Ph.D. from the department of Nuclear Engineering and Radiological Sciences of the University of Michigan, Ann Arbor, USA. After graduation, he stayed at the University of Michigan as an associate research scientist. His main interest is room-temperature semiconductor radiation detectors, including CdZnTe, HgI2, TlBr, perovskite etc. In the past decades, he has been working on readout system design for digitizer AISCs, calibration and reconstruction algorithm development for pixelated semiconductor detectors, radiation imaging based on pixelated detectors, digital signal processing methods for digitizer ASICs etc.
|
Course title: |
AI/ML |
|
Course organizer: |
James Ghawaly |
|
Date/time/venue: |
Sunday, 27 Oct. – 8:30 am – 5:00 pm – Venue: tba |
Instructors:
tba
Course Description
tba
Course Outline
tba
Instructors’ Biographies
tba
ROBERT REDUS is a Member of the IEEE and is the Chief Scientist and Director of Engineering at Amptek, an Ametek company in Bedford, MA. He has spent over thirty years designing instruments for radiation detection and measurement, for many applications and many customers. These include X-ray spectroscopy, gamma-ray spectroscopy using compound semiconductors, scintillators, and HPGe detectors, and space radiation measurements.
JAREK GLODO is Senior Scientist and Team Leader at Radiation Monitoring Devices, Inc. His research areas of interest include novel scintillation materials for high resolution gamma-ray spectroscopy including CeBr3, LuI3:Ce and SrI2:Eu and dual mode scintillators such as Cs2LiYCl6:Ce, Cs2LiLaBr 6:Ce and Cs2LiLa(Br,Cl)6:Ce for combined detection of gamma-rays and neutrons. He has also worked in the areas of ceramic scintillators including garnets and silicates, and organic crystalline and plastic scintillators for neutron detection.
|
Course title: |
PET Kinetic Modeling and Parametric Imaging |
|
Course organizer: |
Guobao Wang, Marc Normandin |
|
Date/time/venue: |
Monday, 28 Oct. – 8:30 am – 5:00 pm – Venue: tba |
Instructors:
• Marc Normandin, Yale University
• Guobao Wang, UC Davis
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
• Brain applications
• Oncological and cardiac applications
• Total-body PET kinetic modeling
• Applications of total-body PET kinetic modeling
Prerequisites for this course: Basic understanding of PET physics and mathematics.
Instructors’ Biographies
MARC D. NORMANDIN is an Associate Professor at Yale Medical School. Dr. Normandin’s work spans a variety of laboratory and medical imaging techniques toward the development and application of noninvasive physiological measurement technologies and assessment of therapeutic interventions. To that end, he utilizes pharmacokinetic analysis techniques, radiosynthetic/analytic procedures, and molecular biology assays to characterize biological processes in cell culture, tissue samples, and in vivo imaging in animals and human subjects. He is a recognized worldwide as a leader in molecular imaging, especially quantitative methodology for PET and MRI, and serves the scientific community through teaching locally and internationally in the acclaimed PET Pharmacokinetics Course held annually as a satellite to the NeuroReceptor Mapping and BrainPET conferences.
GUOBAO WANG is an Associate Professor in the Department of Radiology, University of California Davis Health. He is a recipient of NIH/NIBIB Trailblazer Award and NIH/NCI Paul Calabresi Clinical Oncology K12 Research Scholar. His primary research interest is in the theory and practice of PET parametric imaging. The research in his laboratory commonly integrates multidimensional (e.g., dynamic) PET data acquisition with the design of advanced computational imaging algorithms to derive quantitative parametric imaging biomarkers for assessing human diseases. In close collaboration with clinicians, his group is actively pursuing novel clinical translation of PET/CT parametric imaging in various diseases, including metastatic cancer, fatty liver disease, and heart disease. Dr. Wang is an Associate Editor for the journal IEEE Transactions on Radiation in Plasma and Medical Sciences.
|
Course title: |
Reconstruction and Processing of Medical Images with AI |
|
Course organizer: |
Joyita Dutta, Arman Rahmim |
|
Date/time/venue: |
Monday, 28 Oct. – 8:30 am – 5:00 pm – Venue: tba |
Instructors:
tba
Course Description
tba
Course Outline
tba
Instructors’ Biographies
tba
ROBERT REDUS is a Member of the IEEE and is the Chief Scientist and Director of Engineering at Amptek, an Ametek company in Bedford, MA. He has spent over thirty years designing instruments for radiation detection and measurement, for many applications and many customers. These include X-ray spectroscopy, gamma-ray spectroscopy using compound semiconductors, scintillators, and HPGe detectors, and space radiation measurements.
JAREK GLODO is Senior Scientist and Team Leader at Radiation Monitoring Devices, Inc. His research areas of interest include novel scintillation materials for high resolution gamma-ray spectroscopy including CeBr3, LuI3:Ce and SrI2:Eu and dual mode scintillators such as Cs2LiYCl6:Ce, Cs2LiLaBr 6:Ce and Cs2LiLa(Br,Cl)6:Ce for combined detection of gamma-rays and neutrons. He has also worked in the areas of ceramic scintillators including garnets and silicates, and organic crystalline and plastic scintillators for neutron detection.
|
Course title: |
Hybrid imaging SPECT/CT, PET/CT, PET/MR |
|
Course organizer: |
Chi Liu, Chao Ma |
|
Date/time/venue: |
Tuesday, 29 Oct. – 8:30 am – 5:00 pm – Venue: tba |
Instructors:
• Chi Liu
• Chao Ma
Course Summary
This one-day course covers the physical aspects of PET, SPECT, CT, and MR (basic principles, instrumentation, requirements for integration). Basics of SPECT, CT, PET and MR physics and instrumentation as they pertain to SPECT/CT, PET/CT, PET/MR are discussed in detail. An overview of a wide range of detector technologies, from Anger cameras to state-of-the-art PET/MR systems is provided.
The basic principles of image reconstruction are discussed for each imaging modality, followed by advanced topics such as constrained image reconstruction and denoising methods with an emphasis on the state-of-the-art deep learning methods. Challenges specific to hybrid imaging physics, including attenuation correction, motion compensation, partial volume correction, and geometry integration, are discussed.
Course Outline
tba
Instructors’ Biographies
CHAO MA is an Assistant Professor in the Department of Radiology and Biomedical Imaging at Yale University. He is a Junior Fellow of the International Society of Magnetic Resonance in Medicine (ISMRM). His primary research interests are MR spectroscopy/spectroscopic imaging, cardiac MRI, MR RF pulse design, and quantitative PET/MR.
CHI LIU is a Professor in the Department of Radiology and Biomedical Imaging, and the Department of Biomedical Engineering, of Yale University. He is a board-certified Nuclear Medicine physicist by the American Board of Science in Nuclear Medicine. His lab is currently funded by multiple NIH grants. His current research focuses on quantitative oncological and cardiac PET/CT and SPECT/CT imaging, including deep learning algorithms, reconstruction algorithms, data corrections, dynamic imaging, and translational imaging.
|
Course title: |
Dosimetry in radiopharmaceutical therapy, from basics to advanced I131, PSMA, Neuroendocrine, etc. |
|
Course organizer: |
Georges El Fakhri, Julia Brosch-Lenz, Emilie Roncali |
|
Date/time/venue: |
Tuesday, 29 Oct. – 8:30 am – 5:00 pm – Venue: tba |
Instructors:
tba
Course Description
tba
Course Outline
tba
Instructors’ Biographies
tba
ROBERT REDUS is a Member of the IEEE and is the Chief Scientist and Director of Engineering at Amptek, an Ametek company in Bedford, MA. He has spent over thirty years designing instruments for radiation detection and measurement, for many applications and many customers. These include X-ray spectroscopy, gamma-ray spectroscopy using compound semiconductors, scintillators, and HPGe detectors, and space radiation measurements.
JAREK GLODO is Senior Scientist and Team Leader at Radiation Monitoring Devices, Inc. His research areas of interest include novel scintillation materials for high resolution gamma-ray spectroscopy including CeBr3, LuI3:Ce and SrI2:Eu and dual mode scintillators such as Cs2LiYCl6:Ce, Cs2LiLaBr 6:Ce and Cs2LiLa(Br,Cl)6:Ce for combined detection of gamma-rays and neutrons. He has also worked in the areas of ceramic scintillators including garnets and silicates, and organic crystalline and plastic scintillators for neutron detection.
Workshops
Edge computing for real-time imaging, reconstruction, and applications
Date: Sunday, 27 Oct. , 2024
Time: tbd
Room: tbd
Description
The interdisciplinary field of real-time imaging and related applications is rapidly growing requiring low latency processing of the image data generated by high throughput devices such as large image sensors or particle counting devices. Making image sensors ‘smart’, in terms of automated data processing in real time, is a must in many applications, and is often a desired feature. Artificial intelligence/machine learning (AI/ML) is not only good for post-processing of image data but also for real-time enhancement of image sensors and measurements in situ and operando, also known as ‘edge computing’. Holistic combinations of edge computing with image sensors such as CMOS, LGADs, and other imaging hardware lead to ‘smart or intelligent imaging’.
This one-day workshop within IEEE MIC/NSS/RTSD 2024 aims to foster dialog on the state-of-the-art and future perspectives on real-time imaging methods, tomographic reconstruction algorithms, and smart image sensor hardware that innovatively use edge computing. Applications include physics experiments, compressed sensing, medical imaging and other real-time, data-driven applications. Topics of interest include but are not limited to the following:
- AI/ML-enhanced sensors and front-end circuits for real-time processing of image data;
- AI/ML deployment on DAQ systems for real-time analysis of data;
- Novel architectures for distributed computing combining diverse hardware (CPU, GPU, FPGA, ASIC) with AI/ML algorithms and augmented domain knowledge;
- AI/ML for sparse imaging using CMOS and other sensors;
- Uncertainty quantification, error corrections and data enhancement for imaging modalities and other applications;
- Theoretical foundations to accelerate AI/ML on hardware and facilitate sensor integration; and
- Digital twin applications and other related topics.
Experts
- Zhehui (Jeph) Wang, LANL
- Audrey Corbeil Therrien, U. Sherbrooke
- Lorenzo Fabris, ORNL
