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The 2018 NSS-MIC Short Course program in Sydney offers nine full-day courses on a diverse range of topics in nuclear science and medical imaging. All courses are run by experts in their respective fields and address both theoretical foundations and practical examples.
The program on offer this year includes popular courses from previous years in addition to brand new courses on Organic Electronics and Detectors and the Principles, System Design and Applications of PET-MRI in Preclinical and Clinical Imaging. We encourage you to make the most of the Short Course program to diversify your background knowledge and research interests, update your skills, or simply refresh your memory.
The Short Course schedule is designed to enable logical pairing of well-matched courses that allows participants to build their knowledge base – for example, Biomedical Imaging Fundamentals (SC3) provides an excellent introduction to the field for students and newcomers and pairs well with Image Analysis & Statistics (SC9) and/or Medical Image Reconstruction: Theory and Practice (SC6).
This year the Short Course program runs from Saturday 10th – Monday 12th November, thus enabling all attendees to take part in the NSS and MIC Joint Sessions on Tuesday 13th Nov.
For more information, please contact:
Short-Course Co-Chair (NSS-Topics)
Short-Course Co-Chair (MIC-Topics)
This one-day course is intended to introduce physicists and detector specialists to the fundamentals of integrated circuit front end design.
The class begins with a discussion of low-noise signal processing and semiconductor devices and then delves into the details of implementing practical circuits in modern CMOS technology. A basic knowledge of detectors and electronics is assumed.
This one-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 one-day course is intended to introduce the fundamentals of medical imaging to engineers and physicists that have little or no experience in this field. The class begins with a brief overview of the various technologies used to obtain medical images and the fundamentals of tomographic reconstruction. The focus then shifts to in-depth descriptions of the major in vivo imaging modalities – X-ray CT, single-photon emission computed tomography (SPECT), positron emission mammography (PET), and nuclear magnetic resonance imaging (MRI).
Emphasis will be placed on the underlying physical principles, instrument design, factors affecting performance, the current state of the art, and applications in both the clinical and preclinical realms.
No prior knowledge of medical imaging techniques or computed tomography is assumed. However, the course does assume an understanding of physics, elementary radiation detection and measurement techniques, and a basic understanding of Fourier analysis.
Organic Electronics covers a number of research areas in materials science and engineering, including design of thin film organic electronic devices such as photodiodes and transistors or light emitting devices. These devices are quickly making their way into the commercial domain, with innovative mobile devices, high-resolution displays and energy harvesting technologies. New generation of ultralow-cost, lightweight and even flexible electronic devices will perform functions traditionally accomplished with much more expensive components based on conventional semiconductor materials, such as silicon.
The short course presents the basics of this highly promising technology, which is based on small molecules and polymers, and how these materials can be characterised, modelled and implemented successfully in organic electronic modules.
In this course attendees will gain the ability to tie molecular transport phenomena with macroscopic device characteristics in order to perform the analysis, troubleshooting and design of the next generation of organic detectors and electronic devices.
The course addresses many interdisciplinary topics from organic chemistry, physics of carriers’ transport and electronic design with the goal of transcending disciplines but keeping the course accessible to students or enthusiasts in any branch of science or engineering.
Annalisa Bonfiglio graduated in Physics at the University of Genova in 1991 and got a PhD in Bioengineering at the Politecnico of Milano in 1996. In 1996, she joined the University of Cagliari, where she currently teaches Bioelectronics and coordinates the Course of Biomedical Engineering.
Her main research interests are: Organic Semiconductors based Devices for applications in Electronics and in Biomedical Monitoring; Wearable Electronics; Sensors and Biosensors.
She is author of more than 130 among papers in International peer-reviewed journals, Conference proceedings, book chapters, books (as editor) and 8 patents.
She participated as Principal Investigator to several international (EU and extra-EU), national and regional research projects. In particular, she was the Coordinator of the Integrated Project PROETEX (2006-2010, VI FP, EU-ICT, 23 partners all over Europe), dedicated to the realization of wearable systems assisting emergency operators and fire-fighters.
Since 2004, she is Member of the Institute of Nanoscience of CNR.
Since 2014, she has been appointed in the Board of Directors of CRS4 (Centre of Research, Development, and Superior Studies in Sardinia).
Since 2015, she has been appointed Vice-Rector for Innovation and Territorial Strategy.
Beatrice Fraboni: BF holds a Ph.D. in Physics from the University of Bologna, a Master in Microelectronics from the University of Cambridge (United Kingdom) and a Master in Science and Technology of Semiconductors from the University of Parma.
In 2000 she joined the Faculty of Physics at the University of Bologna where she presently works as an Associate Professor in Condensed Matter Physics.
Her research activity focuses on the analysis and characterization of the electrical transport properties of organic and inorganic semiconducting materials and of advanced (bio)electronic devices.
She coordinates national and international research projects, published over 130 papers in international refereed journals and holds 7 international patents.
Paul Sellin received his PhD in Nuclear Physics from University of Edinburgh (UK) in 1992 in the field of semiconductor nuclear detectors.
His current research interests at the University of Surrey include the development and characterisation of radiation detectors and detector materials for applications in nuclear physics, medical imaging, and security detection.
His research group focuses on the characterisation and development of new detector materials, including plastic and organic scintillators for mixed field neutron/gamma detection, including digital instrumentation and SiPM readout for neutron/gamma sensitive scintillators. Other interests include radiation-hard materials for extreme radiation applications where high dose rate and/or high temperature capability is required and the application of detector technology to nuclear security science, including new modalities for hazardous material detection and identification.
Matthew Griffith completed a Ph.D. in Physical Chemistry from the University of Wollongong in 2012 before undertaking post-doctoral appointments with the CRC for Polymers (Australia) and as a NEDO Fellow at Shinshu University (Japan).
In 2014 he took up a position at the Centre for Organic Electronics at the University of Newcastle, where he worked on developing printed organic electronic nanoparticles for sensing in the explosives industry.
In 2017 he became a Lecturer of Physics and currently leads the industrial printed electronics research program at the Centre for Organic Electronics.
His research focuses on understanding and controlling the fundamental photo-physics in organic electronic materials and devices printed at the roll-to-roll scale, which led to the installation of Australia’s first commercial printed photovoltaic system in 2018.
This one-day course will cover probability and statistics as applied in a variety of imaging applications.
We will start with a review of fundamental material needed for this course, including the basic definitions of probability and the many random factors in imaging. We will then cover advanced estimation methods, detector statistics, and statistical image reconstruction at a level that will enable attendees to better understand the state-of-the-art presented in the literature.
Special attention will be given to Bayesian estimation and reconstruction methods and comparisons of these methods to non-Bayesian approaches. The very basics of Monte Carlo methods will be presented to introduce the attendees to the terminology. These discussions will culminate in lectures on the statistical nature of image quality and how to define image quality using task performance. ROC analysis and ROC variants will be discussed.
Finally, we will end by covering some common pitfalls that arise when computing image quality measures and also discuss the limitations and utility of traditional hypothesis testing methods.
Basic principles of photo detection and characteristics of photodetectors (S. Korpar):
Solid state photodetectors (G. Collazuol):
Vacuum based photodetectors (S. Korpar):
Hybrid photodetectors (S. Korpar):
Gaseous photodetectors – quick overview (S. Korpar):
Gianmaria Collazuol is Associate Professor of Electronics, Physics II Laboratory (Electromagnetism) and Advanced Laboratory at the Department of Physics and Astronomy of the University of Padova. His fields of interest and current activities include experimental neutrino and cosmic-ray physics and the development of innovative detectors and related electronics for experimental studies using gamma rays, neutrons and charged particles. He is collaborating to the Super-Kamiokande, the T2K and the CALET experiments. He is an internationally recognized expert in the field of solid state photo-detectors.
Samo Korpar is Associate Professor of Physics at the University of Maribor and senior researcher at the Jožef Stefan Institute, Ljubljana. He is an experimental particle physicist, and is one of the leading experts on ring imaging Cherenkov detectors, with a particular emphasis on single photon detection and the corresponding read-out electronics. He has made important contribution to the understanding of properties of multi-anode photomultiplier tubes, micro-channel plate photomultiplier tubes, hybrid photon detectors and solid state based sensors. He worked on the HERA-B and Belle experiments, and is currently leading the commissioning of the forward RICH of the Belle II experiment. He is also investigating possible applications of very fast low level light sensors in medical imaging.
GATE is a GEANT4-based advanced open source software developed by the international OpenGATE collaboration It is dedicated to numerical simulations in medical imaging and radiotherapy. 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 configure simple or highly sophisticated experimental settings, GATE 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 radiotherapy experiments.
Lectures will include:
General introduction to the GEANT4 / GATE framework: Yoonsuk Huh
Usage of GATE: Radiation Therapy & Molecular Imaging: Panagiotis Papadimitroulas
Linking GATE to further analysis packages: data analysis with ROOT and image reconstruction with (CASToR): Thibaut Merlin
EduGATE - integrating GATE in teaching basic aspects of physics in medical Imaging: Uwe Pietrzyk
It is also planned to have a hands-on/demo session with GATE installed on some computers and direct interaction with the attendees: all instructors + supporters.
For the practical sessions, students are encouraged to bring their own laptop and install GATE as well as CASToR before attending the course.
Necessary guidelines are available here:
GATE: http://wiki.opengatecollaboration.org/index.php/Installation_Guide_V8.0 (please make sure to install the ROOT library)
CASToR: http://www.castor-project.org/sites/default/files/2017-07/CASToR_general_documentation.pdf (section 3).
Uwe Pietrzyk is a Professor of Experimental Physics at the University of Wuppertal, Department of Mathematics and Natural Sciences and holds an appointment as group leader in the Institute of Neurosciences and Medicine (INM-4) at the Research Center Juelich, Germany, since 1999.
He received his education in particle physics at CERN, Geneva, Switzerland, since 1977, got his PhD in 1984, and moved to medical imaging physics in 1987, working at the Max-Planck Institute of Neurological Research.
The main research topics are multimodal / hybrid imaging, image registration, image fusion. The current focus is on simulating medical imaging devices with GATE.
He is member of the OpenGATE Collaboration and the current spokesperson (since Nov. 2016). He has co-authored more than 80 peer reviewed papers in the field medical imaging.
Panagiotis Papadimitroulas is a medical physicist. He received his Diploma in Applied Mathematical and Physical Sciences in 2009 and his Master degree in Medical Physics in 2011. Since 2015, he holds a PhD on the field of Monte Carlo simulations for the evaluation of imaging and dosimetry clinical protocols from the University of Patras (Greece).
He is a member of the OpenGATE collaboration and his research interests lie on the use of GATE Monte Carlo simulations for personalized medicine and on dosimetry for clinical & pre-clinical applications.
He authored 1 book chapter, 12 peer reviewed publications and has over 50 announcements in international and national conferences in the field of medical physics.
Since 2013 he is the co-founder and Project Director of Bio-Emission Technology Solutions (www.betsolutions.gr), participating in several international and national research projects (H2020, FP7)
Yoonsuk Huh has worked as a senior engineer at Computer-Aided Engineering Group, Advanced R&D Team, Health and Medical Equipment Business, Samsung Electronics since September 2013.
The main research topics are analysis the performance of Digial Radiogaphy/Tomosynthesis or CT system (e.g. X- tube, grid, photon counting detector) and pre-validation of advanced technologies (e.g. radiation distribution, low dose imaging, material decomposition modelling) with Geant4 and GATE.
He got his PhD degree in Biomedical Engineering at Sungkyunkwan University, Suwon, S. Korea. During the same period (2010 - 2013), he was a researcher at Molecular Imaging Research and Education (MiRe) Lab., Department of Electronic Engineering, Sogang University, Seoul, S. Korea, where he played an important role in the extensive validation of GATE for nuclear medicine imaging systems and in the development and performance improvement of PET and PET-MRI based on SiPM.
Thibaut Merlin is a researcher at the Laboratoire de Traitement de l'Information Médicale (LaTIM – INSERM UMR 1101).
He received his education from the ISEN engineering school and Université de Bretagne Occidentale (France) and got his PhD degree in 2013 from the University of Bordeaux.
The main research topics are multi-dimensionnal and multi-modal tomographic reconstruction, respiratory motion correction and resolution modelling in PET. On-going research projects focus on the development of an open source multi-modal reconstruction platform within the CASToR collaboration.
The growing success of PET and SPECT imaging combined with CT or MR has led to the evolution of molecular imaging modalities that assist in improving diagnosis and staging of diseases. Emerging PET and SPECT imaging is used to drive patient therapy, therefore reliable image quantification and high image quality are important factors. Image reconstruction methods have a key role in converting the measurement to a meaningful image and along with new hardware developments offer a stimulating research environment for advancements of PET and SPECT imaging.
This course will provide an overview of analytical and iterative tomographic image reconstruction methods used in computerized tomography primarily focusing on SPECT and PET. It will start with fundamental mathematics of image reconstruction for PET and SPECT and then describe the current algorithmic design to account for a variety of physical phenomena during the image acquisition process and other factors impacting this process such as motion.
The third part of the course will cover demonstrations and practical exercises with STIR, an open source software library for PET and SPECT image reconstruction. The attendees will have the opportunity to simulate and reconstruct data, perform scatter correction, motion correction and other tasks.
Prerequisite knowledge includes basic principles of physics of x-rays and γ-rays, statistics, calculus, elementary linear algebra and optimization theory.
For the practical sessions, students are encouraged to bring their own laptop and install STIR before attending the course.
Necessary guidelines are available via the software package website: stir.sourceforge.net.
Basic knowledge of Python and Linux bash terminal commands are recommended.
Johan Nuyts is a professor of the Faculty of Medicine at KU Leuven, Belgium. He is with the Department of Nuclear Medicine and with the Medical Imaging Research Center (MIRC). He is also Honorary Professor in Medical Radiation Sciences, Faculty of Health Sciences, University of Sydney and IEEE senior member.
He received his Ph.D. in applied sciences from KU Leuven in 1991 on the subject of image reconstruction and quantification in SPECT. He co-authored about 140 scientific journal papers and 4 patents.
His main research interest is in iterative reconstruction in PET, SPECT and CT. Ongoing research projects focus on maximum-a-posteriori reconstruction in emission tomography, iterative reconstruction in CT, attenuation correction in PET/CT, PET/MRI and TOF-PET, and motion correction in PET and CT.
Kris Thielemans is a Reader at University College London (UCL) and is an IEEE senior member.
He received his PhD degree in String Theory from KU Leuven in 1994. Prior to UCL, he has been working as a Researcher at Hammersmith (London, UK) for the Medical Research Council and General Electric, and at King’s College London (KCL).
His research interests encompass all aspects of quantitative PET image reconstruction with emphasis on the development of advanced reconstruction techniques for PET and SPECT including motion correction.
He developed along with others an open source software for tomographic image reconstruction (STIR) which has been cited more than 250 times.
Charalampos Tsoumpas is a Lecturer of Medical Imaging at the Division of Biomedical Imaging, University of Leeds in the UK since 2013 and Visiting Assistant Professor with the Translational Molecular Imaging Institute at Mount Sinai, New York since 2014.
He received his Ph.D. degree in Parametric Image Reconstruction from Imperial College London in 2008 and worked as a post-doctoral fellow at KCL on PET-MR. He is a Senior Member of IEEE and Fellow of Higher Education Academy. He has contributions in more than 50 peer-reviewed papers, 85 conference records and abstracts and two patents with GE Healthcare.
His research interests include statistical image reconstruction and acquisition process modelling for more accurate and precise PET imaging.