|The Do’s and Don’ts of Writing an S10 NIH Shared Instrumentation Grant (SIG)|
|Jeff W.M. Bulte, Ph.D., Johns Hopkins University School of Medicine|
Not everyone is lucky enough to have extra funds available for purchasing a new MPI machine. An alternative option is to submit an SIG grant application to NIH, capped at $600,000.- (low-end instrumentation) or $2,000,000.- (high-end instrumentation). A successful application needs to address a proper justification of need, identify about 10 NIH-funded major users, describe the technical expertise that exists to operate the machine, provide an effective management/administration plan, a detailed siting/housing plan with or without major renovation of existing space, and a financial/business plan for the first 5 years including institutional commitment. Examples of a successful 2018 application will be shown from the Kennedy Krieger Institute together with Johns Hopkins University, along with an outline of things to write and not to write.
Jeff W.M. Bulte, Ph.D., is a Professor of Radiology, Oncology, Biomedical Engineering, and Chemical & Biomolecular Engineering at the Johns Hopkins University School of Medicine. He is the inaugural Radiology Director of Scientific Communications, and serves as Director of Cellular Imaging in the Johns Hopkins Institute for Cell Engineering. He is a Fellow and Gold Medal awardee of the ISMRM, a Fellow of WMIS, and a Distinguished Investigator of the Academy of Radiology Research. He has published over 250 peer-reviewed publications and 40 book chapters, which have been cited over 30,000 times with an h-index of 85. He specializes in the development of new contrast agents and theranostics as applied to molecular and cellular imaging, with particular emphasis on in vivo cell tracking and regenerative medicine.
|The perspective of funding organizationsor: Why it’s good to know your opponents|
|Dr. Christian Renner, Deutsche Forschungsgemeinschaft (DFG), Germany|
In applying to a funding organization or a specific funding program most applicants are very eager to know what the(ir) chances are. Usually, they ask for success rates. However, do you want to know, what anybody’s chances are, or what your chances are? Funding organizations differ widely in how they operate and what they try to fund. Scientific quality is oftentimes a sine qua non criterion, but other criteria apply as well. Understanding your funding organization of choice and the kind of applications you compete with at least to some degree will increase your personal chances for success, or bring you to the conclusion not to apply in the beginning. This contribution will discuss chances and typical pitfalls in grant applications and grant reviewing processes on the example of the DFG funding programs.
Christian Renner, Dr. habil. is a program director for medical imaging and deputy head of unit for scientific instrumentation and information technology at DFG (German Research Foundation). Christian Renner studied physics at the Ludwigs-Maximilians-Universität in Munich followed by a PhD (1998) in structural biology in the department of Nobel laureate Prof. Robert Huber at the Max-Planck-Institut for Biochemistry in Martinsried. He was a group leader for NMR spectroscopy at the same institute from 2000 – 2005 and completed his habilitation in this time (2004). For one year, he has been a lecturer in physical chemistry at the Nottingham Trent University before he joined the DFG in April 2006. Christian Renner published about 80 peer-reviewed scientific papers from his research and numerous policy papers on behalf of DFG. The later are not peer-reviewed, but endorsed by executive boards.Magnetic Particle Imaging came to a broader attention at DFG in 2011 and since then Christian Renner has been responsible for this topic within DFG.
|Introduction to Instrumentation and Reconstruction|
|The Do's and Don'ts of MPI Scanner Instrumentation|
|Lawrence L. Wald, Ph.D., Martinos Center for Biomedical Imaging, Harvard, USA|
Although commercial MPI instrumentation now exists, the relative youth of the technology and its rapidly expanding application space will continue to motivate academic groups to build custom instruments. This talk is aimed at new entrants to the field of MPI instrumentation and is predicated on the idea that the best MPI apparatus is the one you have, and that “perfect” is the enemy of “good enough.” Starting small (in size, power and scope) allows the steep part of the learning curve to be covered with relatively inexpensive mistakes. Naturally, I personally ignored this wise and obvious advice and will recount some of our “back-peddling” as we took diversions from our human sized scanner to test schemes in a rodent-scale instrument and then further down-scaled to a spectrometer constructed for $1000 USD in parts.
Lawrence L. Wald, Ph.D., is currently a Professor of Radiology at Harvard Medical School, Affiliated Faculty of the Harvard-MIT Division Health Sciences Technology and Sara & Charles Fabrikant Research Scholar at the Massachusetts General Hospital. He received a BA in Physics at Rice University, and a Ph.D. in Physics from the University of California at Berkeley in 1992 under the direction of Prof. E.L. Hahn with a thesis related to optical detection of NMR. He obtained further (postdoctoral) training in Physics at Berkeley and then in Radiology and MRI at the University of California at San Francisco (UCSF). He began his academic career as an Instructor at the Harvard Medical School and since 1998 has been at the Massachusetts General Hospital Dept. of Radiology A.A. Martinos Center for Biomedical Imaging.His recent work focuses on improving methods for functional brain imaging. He has worked on the benefits and challenges of highly parallel MRI and its application to faster image encoding and parallel excitation and ultra-high field MRI (7 Tesla) methodology, and also improved method for studying the Human Connectome and portable MRI technology. Recent work has included studying the feasibility of functional brain imaging with Magnetic Particle Imaging (MPI) using Cerebral Blood Volume (CBV) contrast and analysis of the instrumentation needed for fMPI of humans. This has also led to extending understanding of Peripheral Nerve Stimulation (PNS) in human MPI and MRI using electromagnetic body models with full nerve atlases and a detailed neuro-dynamic model to predict magneto-stimulation thresholds. Dr. Wald is a Fellow of the International Society of Magnetic Resonance (ISMRM) and the College of Fellows of the American Institute for Medical and Biologial Engineering (AIMBE).
|The Do's and Don'ts of Image Reconstruction in MPI|
|Mandy Ahlborg, Ph.D., Institut für Medizintechnik, Lübeck, Germany|
Image reconstruction in MPI is typically differentiated in calibration based reconstruction using a pre-measured system matrix and solving a linear system of equations and x-space reconstruction where the voltage signal is directly mapped to a spatial position in the field of view. In this tutorial you will learn about the basic concepts to perform the image reconstruction with focus on image reconstruction of experimental data. We will discuss data preprocessing steps, pitfalls during image reconstruction and data postprocessing steps that will guide you to a successful image reconstruction in MPI. We will conclude the lecture with an overview of current research projects in the field of MPI image reconstruction.
Mandy Ahlborg , (maiden name Grüttner) was born in Berlin, Germany in 1985. She received her M.Sc. in Computer Science from Technische Universität München in 2011. In 2010, she wrote her Master's Thesis "Tumor Monitoring - Implementation of Growth Criteria and Segmentation" at Brainlab in Feldkirchen. Since 2011, she works as a researcher at the Institute of Medical Engineering in the field of Magnetic Particle Imaging (MPI). She administered and worked in several MPI research projects. Together with the team of the Institute of Medical Engineering she won the German High Tech Champions Award 2014 for the category Medical Engineering and the first place of the German High Tech Champions Award Science Slam 2016 – an award created by the Fraunhofer-Gesellschaft. In 2015, she received her PhD, and won the Fokusfinderpreis for her thesis, which can be found here.
|Introduction to Particle Theory and Simulation|
|Jürgen Weizenecker, Prof. Dr., University of Applied Science Karlsruhe, Germany|
Magnetic Particle Imaging does not provide any natural contrast and thus needs a tracer to perform imaging, the performance of which is of crucial importance. In order to understand the behaviour of the tracer in the various applied magnetic fields a suitable model has to be provided. It has been shown that the simple Langevin Theory of magnetism is capable of describing the important features of the imaging process. In a real experiment, of course, the tracer will always contain different types of particles (in terms of size, anisotropy etc.). Nevertheless, the above-mentioned theory can still be used as an approximation in which distributions of parameters are modelled by effective values, like mean diameter and magnetization.However, in order to evaluate ways to increase the performance of the particles and to understand experimental data, a more detailed model has to be provided. The model should contain relevant input parameters like particle diameter, arbitrary time varying magnetic fields, magnetic particle anisotropy, magnetization relaxation, and thermodynamic equilibrium. There are two relevant mechanisms to change the magnetization of magnetic particles in an external field. The first one is based on the reorientation of the magnetic particles and is named Brownian rotation. The second one is based on the change of magnetization in the fixed particle and is named Néel rotation. This lecture will present a detailed theory and simulations, which describes both effects separately, as well as in combination.
Prof. Dr. Jürgen Weizenecker studied Physics (Degree Diploma) 1989-1995 at the University of Karlsruhe, Germany. In 1999, he received his PhD with his thesis on Spin Dynamics in Thulium-van Vleck-Paramagnets. 1999-2000 he started his carrier as Research Employee at the Physics Institute at the University of Karlsruhe. 2000-2008 Jürgen was Research employee at the Philips Research Laboratories Hamburg, Philips GmbH Innovative Technologies, Germany. Main interests and activities in this period: Magnetic Resonance Imaging, Electromagnetic Field Calculation, Magnetic Particle Imaging, Reconstruction, Simulation of Mono Domain Particles. In 2008, Jürgen was appointed as Professor at University of Applied Sciences Karlsruhe, Department of Electrical Engineering: Main interests/activities: Lecturer for Mathematics, Electromagnetic Field Theory / Magnetic Particle Imaging. He is winner of the teaching award of the University of Applied Sciences Karlsruhe, and he is winner of the European Inventor Award 2016 together with Bernhard Gleich, Philips Research for his groundbreaking inventions in Magnetic Particle Imaging.