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NSS Program & Topics


The IEEE Nuclear Science Symposium (NSS)

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 Granada in 2026!

The NSS 2026 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 Topics

Authors are invited to submit papers describing their original, unpublished work on one of the topics below:

  • Gas detectors
  • Scintillator detectors
  • Semiconductor detectors
  • Photodetectors
  • Analog and digital circuits
  • DAQ, front-end and electronics
  • AI and ML for radiation detection
  • Computational methods, modeling and data analysis
  • Neutron and gamma-ray detectors and applications, including security, dosimetry and other related applications
  • Nuclear, HEP and astrophysics detectors
  • Synchrotron, FEL and XFEL detectors
  • Novel detectors and associated technologies

NSS Plenary Speakers

Hannah Wakeling

University of Oxford

Particle accelerator environmental sustainability

Sara Cazzoli

Instituto de Astrofísica de Andalucía

Astrophysics

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 in nuclear medicine and radiology as well as molecular 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
  • Multi-modality imaging systems including applications
  • High resolution imaging systems (organ-dedicated, small animal systems)
  • X-ray imaging systems (CT, spectral CT, photo-counting CT)
  • Advanced tomographic reconstruction techniques
  • Quantitative imaging, image assessment and standardization
  • Signal and data processing
  • Kinetic modeling, molecular connectivity analysis and radiomics
  • Theranostics, Imaging and dosimetry in therapy (particle, radiopharmaceutical, surgery)
  • Total body imaging systems including applications
  • Novel applications of AI in radiation-based medical imaging
  • Emerging applications, new concepts

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

  • 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

Workshops


Workshop 1: AI in Nuclear Sciences and Nuclear Medical Imaging – Review and future expectations
Summary

In many nuclear sciences and medical imaging applications, AI has come a long way and in some instances it has (almost!) become the gold standard. The workshop will outline the major milestone in the last 10 years, the current hot topics and issues, and discuss where future breakthroughs could come from and what our collective priorities should be for the next 10 years.

If you are interested in co-organizing or pre-submitting a paper/topic/panellist, please contact JB email.

Abstract Submission Deadline: August 31, 2026

We are looking for 20-minutes or less review papers, i.e. highlights of AI progress in nuclear sciences and medical imaging applications, as well as panel applicants, i.e. experts on AI topics and applications to discuss current state of the art and future roadmaps.

The following review papers topics are solicited:

  • AI applications in high energy physics instrumentation & experiments
  • AI application in nuclear science and medical imaging detectors and data acquisition chains, including signal processing and edge-AI
  • AI in medical imaging instrumentation and image reconstruction, especially reconstruction, corrections, denoising
  • AI in theranostics applications


The following review papers and panel topics are solicited:

  • Implementation and feasibility considerations, e.g. hardware, firmware, software, open-source availability, and commercial off-the-shelf solutions
  • Data quality and availability issues, real or simulated datasets, transfer learning, federated learning, intermodal knowledge distillation


The following panel topics are also solicited:

  • Maturity of AI know-how in medical imaging and nuclear sciences, and research-only vs actual real-world deployment
  • Editorial opinions about when and where AI is most or least useful in medical imaging and nuclear sciences
  • Emergence of foundation, agent- and LLM-based systems and world models and their usefulness in our fields

Current strengths and shortcomings of AI in nuclear sciences and medical imaging in general, and where will we be in 5-10 years


Review papers: please send a short abstract highlighting the topic(s) you wish to cover in your review, and 1-page max preliminary list of past and present milestone contributions you plan to include in your review.

Panelists: please submit a biosketch in place of the abstract, along with a 1-page max list of your contribution(s) to the topics you or your close collaborators intend to represent as an expert.

Workshop 2: Digital SiPM and SPAD-based sensors
Summary

Digital SiPMs and SPAD-based devices see increased development activity with the potential of improving photon-counting systems. The main NSS program reports on technology performance and application use of available technologies.

The goal of the workshop is to provide a place where upcoming/future technologies can be described by their developers, development roadmaps can be disclosed, and application niches or markets are aimed for.

This is not the type of communication easily accepted in the main program.

To make sure everyone is included, we invite groups who develop digital SPAD systems or have proposals to use this type of photodetectors to contact us for a participation in the workshop. 

Tentative topics for the workshop structure:

  • Roadmap presented by technology developers (short talks)
  • Discussion/debate on collaboration and funding strategies to bring these technologies to use

We will invite spin-offs that commercialize SPAD based detectors to attend the event and participate in the discussion/debate.

Abstract Submission Deadline: August 31, 2026

Contact

Serge Charlebois, Université de Sherbrooke, Canada

Catherine Pepin, Université de Sherbrooke, Canada

Stefan Gundacker, ÖAW, Austria

Claudio Bruschini, EPFL, Switzerland

Fabrice Retière, TRIUMF, Canada

Workshop 3: Total-Body Kinetic Modeling Workshop
Summary

This workshop is designed to serve as a forum for discussing the emerging field of total-body PET kinetic modeling and its future directions. There are currently over fifty total-body PET and long axial field-of-view PET scanners operating across four continents. This workshop is timely to discuss the growing need for effective handling of total-body data for dynamic imaging and kinetic modeling. Such advancements are essential for extracting physiologically significant information that traditional static imaging methods could not achieve. We plan to invite experts from various levels of experience, including both senior and junior researchers, to present an overview of the technical challenges, progress, and clinical applications in this field. The workshop will facilitate not only rich exchanges of ideas but also offer a hands-on exercise session. Participants will have the opportunity to work with real patient data from total-body dynamic PET scans. Importantly, this workshop is designed to complement the existing MIC program on kinetic modeling, providing invited talks and practical sessions without overlapping with current offerings.

Contact

Negar Omidvari, UC Davis

Steven Meikle, University of Sydney, Australia

Kevin Chung, Massachusetts General Hospital

Yun Zhao, University of Sydney

Qinlin (Alistair) Gu, University of Sydney

Workshop 4: Emerging Directions in Theranostic Imaging: From PET and SPECT to Novel Modalities
Summary

Radiotheranostics, combining targeted molecular therapies with diagnostic imaging, holds great promise to transform healthcare decision-making by supporting individualized treatment planning, monitoring, and optimization. However, advanced imaging technologies for radiotheranostics are still emerging, and significant scientific, technical, and clinical challenges must be addressed to unlock their full potential in clinical environments. This workshop provides a dedicated forum for interested researchers to review past achievements, report recent progress and novel techniques, and discuss remaining challenges and future directions toward clinical translations. Key focus areas include optimizing the application of alpha and beta emitters enabled by novel imaging instrumentation, unconventional imaging techniques, advanced image reconstruction, dosimetry methods, simulation toolkits, and AI/ML methods for radiotheranostics.

We will invite interested presenters to submit separate abstracts to this workshop by August 31. We also invite industry partners and collaborators to attend and support this workshop.

We are in the process of creating a special issue related to the content of this workshop in IEEE Transactions on Radiation and Plasma Medical Sciences (TRPMS). This Special Issue will be a collection of manuscripts associated with presentations and submitted abstracts in this workshop, after peer-review processes for the journal acceptance.

Contact

Youngho Seo, University of California, San Francisco

Shiva Abbaszadeh, University of California, Santa Cruz

Javier Caravaca, Lawrence Berkeley National Laboratory

Joshua Cates, Lawrence Berkeley National Laboratory

Pedro Correia, University of Aveiro

Andrea Gonzalez-Montoro, i3M joint center CSIC-UPV, Valencia

Special Events


WIE+YP
Summary

Join us at the IEEE 2026 WIE+YP Event in Granada for an interactive and engaging experience focused on career development, leadership, networking, and collaboration within the NPSS community.

We have prepared a dynamic program with inspiring discussions, interactive activities, and opportunities to connect with colleagues and friends from different career stages and technical backgrounds. Whether you are a student, postdoc, young professional, or senior researcher, we hope this event will provide a welcoming space to exchange experiences, build new connections, and strengthen our community.

The event will include a complimentary lunch, a few YP goodies, great networking opportunities with friends and colleagues, and a lineup of very engaging activities.

We are really looking forward to seeing you in Granada!

SimSET User Meeting (onsite only)
Summary

The Simulation System for Emission Tomography (SimSET) toolkit has been in the nuclear medicine physics research landscape for over 30 years. First released in 1993, SimSET has become a primary resource for many nuclear medicine imaging research groups around the world.

The University of Washington Imaging Research Laboratory and collaborators are continuing to develop SimSET, adding new functionality and utilities. The direction of development is driven in part by the SimSET users.

We encourage SimSET users, or those just interested, to participate in the meeting to learn about proposed developments, provide feedback and new directions, and to meet other users.

For further information, email simset@u.washington.edu

GATE User Meeting
Summary

For more than 20 years, the GATE toolkit has been a reference open-source platform for Monte Carlo simulations in medical physics, supporting applications in PET, SPECT, CT, radiation therapy, and dosimetry.

The recent release of GATE 10 marks a major step forward for the platform. This new generation of GATE, featuring a Python-based user interface, enables the design, execution, and analysis of complex simulations within a modern scientific computing environment. By bridging Monte Carlo simulations with data analysis, image processing, artificial intelligence, and high-performance computing tools, GATE 10 empowers the development of current and next-generation methodologies for medical imaging and therapy.

Continuing a long-standing tradition of bringing together the GATE community at this conference, we invite users and developers to join the GATE Users Workshop to discover the latest developments and contribute to the program by sharing their scientific projects. Whether you are an experienced user or new to GATE 10, this meeting is an opportunity to connect with the community and explore GATE potential for your research.

STIR Users' & Developers’ Meeting
Summary

STIR is Open Source software for use in tomographic imaging. Its aim is to provide a Multi-Platform Object-Oriented framework for all data manipulations in tomographic imaging. The emphasis is on image reconstruction in emission tomography (PET and SPECT). During the annual meeting experienced users and developers will present their recent work with STIR with technical emphasis on software and algorithmic development and demos. Additional time will be allowed for discussion between the speakers and the audience. If interested in presenting contact the chairs before the 6th of September. 

For up-to-date information please always check STIR website:

Contact

Daniel Deidda, National Physical Laboratory

Nikos Efthymiou, University of Groningen

Charalampos Tsoumpas, University of Groningen

Kris Thielemans, University College London

Ludovica Brusaferri, London South Bank University

Short Courses


The 2026 NSS MIC RTSD Short Courses program features eight courses covering both established and emerging topics relevant to NSS, MIC and RTSD attendees, including areas of shared interest. Each course is led by experts and combines theoretical foundations with practical applications and examples.

This year’s program includes popular returning courses as well as new offerings on fast timing detectors for high-energy physics (HEP) and medical applications, and artificial intelligence for medical image analysis and processing.

The Short Courses will take place from Saturday, November 7 to Tuesday, November 10. NSS courses are primarily scheduled for Saturday and Sunday, while MIC courses will be held on Monday and Tuesday.

For more information, please contact:

Martin Grossmann, Short-Course Chair

Description

Successful front-end electronics developments emerge from tight collaboration between electronics engineers and specialists in detectors, data acquisition, and system integration. This one-day short course delivers the core concepts required to understand front-end design, enabling clearer communication and more effective interdisciplinary teamwork.

The course is ideal for both seasoned engineers and those new to the field—circuit designers, physicists, and detector specialists alike—providing a solid foundation in low-noise front-end circuit design. Participants will actively work alongside the instructor on practical examples of noise analysis, circuit design, and simulation. Attendees must bring a laptop with the required software pre-installed (detailed installation instructions will be provided prior to the course).

The final segment explores in depth a topic of broad interest to the NSS-MIC community: radiation tolerance.

Outline

Part I: Fundamentals – Gianluigi De Geronimo

  • Noise sources and equivalent noise charge
  • Noise analysis in frequency domain
  • Interactive noise analysis, design and simulations

Part II: Fundamentals – Gianluigi De Geronimo

  • Noise analysis in time domain
  • Charge amplifier design
  • Interactive noise analysis, design and simulations

Part III: Fundamentals – Gianluigi De Geronimo

  • Filter design
  • Mixed-signal circuits
  • Waveform sampling and digitization
  • Interactive noise analysis, design and simulations

Part IV: 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
Instructor's Biographies

Gianluigi De Geronimo received his M.S. and Ph.D. in Electronics from Politecnico di Milano, Italy. He joined the Instrumentation Division at Brookhaven National Laboratory (BNL) shortly thereafter, where he specialized in the design of low-noise integrated circuits for ionizing radiation detectors. Over his career at BNL, he advanced from Assistant Scientist to Tenured Scientist and Head of the Microelectronics Group. Dr. De Geronimo has developed numerous high-performance front-end ASICs for applications in medical imaging, space, security, defense, and fundamental physics research. He is the founder of DG Circuits, where he continues his work as an independent ASIC designer and consultant. He also serves as Adjunct Professor at Stony Brook University and as an Editor for the IEEE Transactions on Nuclear Science. He has co-authored more than 150 scientific publications and two book chapters, and is the recipient of the 2008 BNL Science and Technology Award, three R&D 100 Awards (2009, 2011, 2014), the 2012 CSIRO Award, the 2012 Battelle Inventor of the Year Award, and the 2018 IEEE Long Island Section Charles Hirsch Award

Lodovico Ratti is Full Professor of Electronics at the University of Pavia, Department of Electrical, Computer and Biomedical Engineering, Italy. His main research expertise lies in front-end electronics for highly segmented radiation detectors, photodetectors (SPADs, SiPMs), and monolithic sensors, particularly those based on CMOS processes. His work also focuses on ionizing radiation effects, bulk damage, and noise characterization in microelectronic devices and circuits. The target applications of his research include high-energy physics, astrophysics, and photon science experiments. Lodovico Ratti serves as Secretary of the Radiation Instrumentation Steering Committee (RISC) of the Nuclear and Plasma Science Society (NPSS). He is also a Technology Research Fellow with the National Institute for Nuclear Physics (INFN), Italy. He is the author or co-author of more than 360 publications, including peer-reviewed journal papers, conference proceedings, contributions to international conferences, and book chapters. He also serves as editor for IEEE Transactions on Nuclear Science, Frontiers in Physics, and MDPI Electronics.

Description

Part I: SPAD physicsFabrice Retière

Single Photon Avalanche Diodes (SPADs) are the building blocks of Silicon Photomultiplier (implicitly analog) and digital SPAD array. SPADs operate following several steps:

  • transmission (as opposed to reflection or absorption) of photons into the silicon
  • absorption of the photons within the silicon at wavelength-dependent depth
  • production of electron-hole pairs considering quantum yield
  • drift or diffusion of the carrier towards the high field region
  • initiation and evolution of the avalanche
  • quenching
  • production of a detectable signal

SPADs carry a set of undesirable features:

  • dark noise
  • carrier trapping and detrapping yielding to after-pulse
  • light production in avalanche yielding to internal and external optical crosstalk

Each item will be discussed in detail.

Part II: Analog SiPMs, timing and read-out (metrology)Stefan Gundacker

The silicon photomultiplier (SiPM) has become the standard device in many time-critical applications, ranging from single-photon detection in quantum cryptography or light detection and ranging (LiDAR) to multi-photon detection in high-energy physics and time-of-flight positron emission tomography. The basic working principles of the SiPM will be introduced, and the most important parameters, such as photon detection efficiency, single-photon time resolution, and noise sources, will be discussed. The front-end electronics, an important aspect of the readout of analog-SiPMs, will be examined, and basic principles will be presented. Furthermore, the impact on SiPM parameters and electronic readout on timing will be explained when applied to scintillation, Cherenkov emission and single-photon detection. Prominent examples of applications will be reviewed, and the possible future of analog-SiPMs will be evaluated.

Part III: Digital SiPMs: Introduction (quenching circuits, metrology) – Serge Charlebois

Review of various quenching circuit architectures, edge discriminators, and control of the quenching-recharge cycle. Methods to characterize performances adapted to digital SPADs. 

Part IV: Digital SiPMs: Architectures and Applications – Claudio Bruschini

We will provide a short overview of some of the main chip and system architectures which have been explored over the years for SPAD arrays and digital SiPMs, with an eye on the specificities of high-energy and nuclear physics applications. This will be complemented by a brief technology-oriented discussion.

Part V: Demos

We will provide examples of various data output obtained from digital SPAD detectors and demonstrate basic analysis performed on them (e.g., event rate, crosstalk, pulse shape analysis, single-photon timing resolution, coincidence timing resolution). We will also strive at bringing physical demonstrations of digital SPAD detectors.

Description

This course is an introduction on how to get your message across in writing as a physical scientist. We concentrate on refereed papers and proposals/job applications but also touch upon other formats. The course is aimed at beginning scientific writers, PhD students and junior postdocs, but more experienced writers may find many aspects interesting, eye-opening, or simply useful in developing their own writing. The skills learned in this course will be more generally applicable as well, whether or not you not plan to build a further career as an academic.

During the course and the exercises, you will refer to your own writing when we discuss items like title, abstract, introduction, or paragraph and sentence structure, so bring with you your latest paper, whether in early draft form or already submitted to a journal.

Syllabus:

1. Writing in science

Refereed papers are an important vehicle in science, but not the only format where writing is needed. We will start the course by analysing what writing in science is about, and how you can optimise your written products. Among other aspects, we will study the optimum structure of a paper: where and how do you provide the information?

How to transform your scientific results in a story? And how to then write that story in a clear and precise way so you can produce a good paper? How do you put emphasis?

We will analyse how you catch a reader’s attention in our current era of information overload, and highlight the importance of title and abstract.

2. How to write your papers?

You will learn to optimally structure your text, from the entire text down to the paragraphs and to individual sentences, thereby writing for the reader. How can topic sentences make paragraphs do their job?

We will highlight grammar rules you need to know so that you will write papers that are pleasant to read as well as correctly written. We will also revise the typesetting conventions that are used in our field, referring to publishers’ Instructions for Authors and to LaTeX.

3. How to write a proposal or job application?

Whether you want to get experiment time on a large facility, access to supercomputers, apply for a post-doc position or a prestigious fellowship, get a tenured job, or get funding for your research, you will need to write proposals. And they need to stand out in order to be successful. In this session, you will learn the recipes to follow and the pitfalls to avoid.

We will also highlight how you can make and maintain an effective CV, and discuss how you can enhance the effect of your reference letters.

4. How to make optimal use of AI tools?

AI tools, including large language models (LLMs) like ChatGPT or Claude, are revolutionising our lives as scientists. We will consider the advantages and possible pitfalls of the use of AI in preparing your written products, and analyse how you can optimise their use.

This course expands on what we wrote in the following Perspective papers in Nature Astronomy. They are widely applicable across the physical sciences, even though they were specifically written for astronomers. More general papers and books about scientific writing are referenced. We recommend participants to read these three papers before attending the Short Course.

Instructor

Johan Knapen is a Research Professor at the Instituto de Astrofísica de Canarias in Tenerife, Spain. His research focusses on the structure and evolution of the central regions and the disks of galaxies, combining the exploitation of the sharpest and deepest possible imaging across a range of wavelengths with the use of AI tools. He has published almost 300 refereed papers. He is PI and coordinator of the EU Doctoral Network EDUCADO, and of the EU-funded Twinning network ExGal-Twin. Mentoring and coaching, in particular of young scientists from developing countries, is an increasingly important part of his activities, as is advanced training in scientific writing.

Description

A solid understanding of the physics and technology underlying semiconductor detectors enables researchers to align experimental measurements more effectively with the scientific questions under investigation. It further facilitates the optimization of data analysis procedures, allowing experiments to approach the intrinsic resolution limits of the measurement setup. Moreover, such knowledge empowers users to formulate well-founded proposals for improving measurement processes in both hardware and software.

This one-day course begins with the fundamentals of semiconductor physics, followed by an overview of the interaction of ionizing radiation with semiconductor materials. Key concepts such as charge carrier generation and transport, basic device architectures, and an introduction to process and device simulation will be covered.

Depending on the application, semiconductor detectors require dedicated electronics characterized by low noise and high speed. Accordingly, noise sources and mitigation strategies will be discussed in detail. The course will also introduce application-specific integrated circuit (ASIC) developments for signal amplification and data processing, concluding with an overview of state-of-the-art ASIC designs that enable complex detector systems.

Applications of semiconductor detectors across astrophysics, materials science, life sciences, and high-energy physics will be presented, each beginning with a clear motivation and a description of the relevant experimental constraints. In astrophysics, both space-based missions – such as XMM-Newton, Chandra, eROSITA, and BepiColombo – and future projects like ATHENA and LISA will be discussed, alongside ground-based systems employing e.g. adaptive optics.

In materials and life sciences, experiments conducted in institutional laboratories, synchrotrons, and X-ray free-electron lasers rely on electrons, protons, and X-rays to probe for example, crystal structures, molecular bonds, electric and magnetic fields, mechanical stress and many more. These applications impose diverse requirements on detectors, including high dynamic range, spectroscopic imaging capabilities, ultrafast response and count rate capability.

High-energy particle and nuclear physics have historically driven the development of advanced detector technologies. Examples include accelerator-based experiments at CERN, DESY and KEK, as well as underground experiments such as DUNE and GERDA. Recent technology developments lead to record performance (in spatial resolution, timing information resolution, radiation hardness, large area coverage) and to a broad variety of applications extending to astrophysics, beam and dose monitoring in hadron therapy, and more.

The basics of semiconductor physics and technology will be treated in detail. By providing a comprehensive overview of a broad range of applications, the course aims to stimulate new experimental ideas and support students and researchers in refining their experimental scientific research.

Outline

Part I: Semiconductor detector physics – 100 min

Part II: Electronics for semiconductor detectors – 90 min

Part III: Semiconductor detectors in astronomy and astrophysics – 60 min

Part IV: Semiconductor detectors in material and life sciences – 90 min

Part V: Semiconductor detectors in high energy physics – 90 min

Part VI: Summary and discussion – 30 min

Instructor's Biographies

Lothar Strüder is professor at the University of Siegen. He earned his PhD in Physics at the Technical University Munich in 1988. His major scientific interests include position-, energy- and time resolving detectors for photons and particles. He is author and co-author of more than 500 technical and scientific publications with over 25.000 citations. He holds 15 worldwide patents in scientific instrumentation. Among other awards he received the Glenn F. Knoll Radiation Instrumentation Outstanding Achievement Award of the IEEE in 2019 and became Fellow of the MAS in 2020.

Giuseppe Bertuccio is professor of electronics and head of the Semiconductor Detector and Integrated Circuits Laboratory at Politecnico di Milano, where he began in 1987 in Prof. Emilio Gatti’s research group. He has been visiting researcher at Brookhaven National Laboratory and at Canberra Industries, and has collaborated with numerous universities, research centers and companies worldwide on radiation detectors and low-noise electronics for scientific, industrial, and medical applications. He received the 2019 RTSD Scientist Award in recognition of his contributions to the field of room-temperature semiconductor detectors, electronics and systems.

Silvia Masciocchi is professor for experimental particle and nuclear physics at the University in Heidelberg, and head of the ALICE department at GSI, the Helmholtz Center for Heavy Ion Research in Darmstadt. Her research interests include heavy-ion physics and the development of particle detectors, with a particular focus on high precision tracking and vertexing, and on particle identification. After working with silicon strip detectors and with the large-volume Time Projection Chamber in ALICE, she recently moved to the development and integration of monolithic active pixel sensors (MAPS) produced in CMOS technology. Within the Helmholtz Matter program, she is the speaker of the Detector Technology and Systems topic.

Andrew Fram is Product Manager for detector systems at PNDetector GmbH. He has worked with X-ray and electron detector systems for more than eight years, holding product management and technical sales roles. His experience spans OEM instrument manufacturers, synchrotron facilities and research institutions worldwide. He has provided technical input on detector requirements, system configuration and application-specific integrations for energy-resolving X-ray and electron detection systems. His perspective is based on practical work with users, applications teams and engineering groups across the detector-system lifecycle. He holds a BEng (Hons) in Mechanical Engineering Design.

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 positron emission tomography (TOF-PET) systems has improved from 500 – 700 ps FWHM in the second half of the 2000s to less than 200 ps FWHM for the latest available systems. In the laboratory, coincident detection of annihilation photon pairs with a time resolution better than 50 ps FWHM has been demonstrated. These advancements are driven by innovations in scintillation materials, photosensors, readout electronics, detector design, and signal processing. In addition to medical imaging, the results of these developments are used 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 full 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 (e.g. 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, photosensors, readout electronics, and signal processing. Special attention will be paid to detectors based on silicon photomultipliers (SiPMs), as the introduction of this new light sensing technology is a key driver of time resolution improvement in TOF-PET. 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.

Outline

to be announced…

Description

This course addresses the question of why so few machine learning (ML) systems for medical decision-making go beyond proof-of-concept to implementation. In doing so we take the scenic route, first discussing frequentist and Bayes statistical methods that are already successfully deployed with imaging in research and clinical contexts, and the estimates they make that are useful, and how this information is communicated in a way that improves the patient’s experience. We then take an introductory tour of statistical learning theory (SLT), arguably the first and most comprehensive framework for ML developments including supervised, unsupervised, and reinforcement learning, and how SLT has been applied to imaging data. Validation and performance testing is an important component to these systems, and after describing the primary techniques, we also discuss contemporary alliances of ML with statistical inference. Finally, we explore the technical, ethical, and organisational reasons why ML systems are particularly absent from routine healthcare, even though they appear to offer an empirical advantage. 

Outline

Part I: Statistical testing for medical imaging

  • Images as an ordered dataset
  • Frequentist and Bayes statistical approaches for imaging
  • Including spatial information in test statistics
  • The reproducibility crisis and response

 

Part II: An introduction to Statistical Learning Theory

  • Preliminaries
  • Components of a ML system
  • Cross-validation
  • Statistical Agnostic Learning

 

Part III: The implementation gap

  • Technical – the right outputs for the right questions
  • Ethical – bias, privacy, and explainability
  • Organisational – agency and responsibility, interacting with electronic health records, integration into healthcare processes
Description

Using the primary example of positron emission tomography (PET), core image reconstruction methods will be explained, from unregularised to regularised methods, through to kernel-based and generative AI-based image reconstruction. The coverage of reconstruction and deep learning principles will also touch on implementation aspects for core methods as well as state of the art methodology.

 

Image reconstruction foundations

  • Reconstruction basics: object representation and forward models
  • Maximum likelihood expectation maximisation (MLEM)
  • Maximum a posteriori EM (MAPEM)
    • Priors
    • Algorithms

 

AI for image reconstruction: introduction

  • Basic principles of deep learning
  • Direct methods (CNNs and CEDs)
  • Unrolled iterative deep-learned methods (e.g. FBSEM-Net)
  • Methods without training data

 

Kernel and deep image prior methods

  • Conventional kernel EM (KEM)
  • Deep image prior (DIP)
  • Kernel methods with deep learning

 

Generative AI for image reconstruction

  • Overview of generative models for inverse problems
  • Diffusion models and integration with PET image reconstruction
  • Unsupervised and supervised approaches

 

Test-time adaptation: steerable diffusion and deep diffusion image prior

Outline

to be announced…

Description

This course focusses on the unique features of Total-Body and long axial field-of-view PET (TBPET) systems that an imaging scientist needs to know to extract optimal performance from such systems, along with the clinical and research applications enabled by this technology. Participants will explore challenges and solutions for managing the QC, image reconstruction and data processing of TBPET systems, and how to exploit their unique advantages in a range of applications.

Outline

to be announced…

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