Prof. Luc Bidaut,
Professor in Computer Science (Medical Imaging), School of Computer Science, College of Science,
University of Lincoln
Through much varied technologies and inherent relevance to many paradigms, biomedical imaging readily lends itself to translational approaches from in-vitro all the way to clinical. After evolving and adapting throughout the translational pipeline, disciplines, technologies, scales and scopes eventually coalesce when reaching the in-vivo context through animal models, on the way toward direct evaluation, validation and application in the human.
The presentation will focus on introducing and demonstrating this still not fully tapped potential through a few examples, from providing and exploiting new biomarkers to affecting clinical workup, from diagnosis to therapy. Suggested implementation strategy for suitably supporting such a multidisciplinary effort in the scope of cancer - as an example - will also be presented.
The intent is not to wholly answer the question in the title, but rather to illustrate what imaging - in a broad and modality-neutral sense - can not only bring to the fields of biomarkers and novel diagnostics, but also how it can assist in bridging the usual gaps between fundamental research and clinical applications.
After a strong technical education cursus, most of it through the unique French Grandes Ecoles system and European academia, I eventually embraced the complex, ever challenging and exciting domain of biomedical imaging where I am still evolving now.
In July 2016, I came to Lincoln (UK) as Professor of Computer Science - Medical Imaging in the College of Science. In addition to traditional academic pursuits, I again immediately endeavoured to engage with stakeholders from all across the University and the local NHS for further assessing potential synergies and building upon my strong cross-/inter-disciplinary collaborative ethos for both research and education.
Before then, I had moved to Dundee (Scotland-UK) in July 2010 as Chair of Translational Imaging and Director of Imaging for the Centre of Oncology and Molecular Medicine (COMM). Soon thereafter, I was asked to become Tayside Imaging Lead in support of all clinical and translational research between the University and local NHS, and created the Imaging & Technology Core Group (ITCG), a new highly multidisciplinary construct to regroup most relevant institutional entities and stakeholders under a common virtual umbrella. Following the restructuring of the School of Medicine and COMM, the ITCG eventually spun off the Division of Imaging & Technology, of which I was founding Head to oversee its successful integration (11/2011-06/2013). All the while, I also led the Clinical Research Imaging Facility (CRIF), a multidisciplinary mixed-role advanced imaging core entity with co-located high-end MRI and PET/CT medical scanners. Under my oversight, CRIF established and developed a critical role across academia and the NHS for supporting clinical, research and educational endeavours.
Previously, I was the founding Director of the Image Processing and Visualization Laboratory (IPVL; all aspects of translational advanced imaging), Head of the Scientific Computing Resource (SCR; all aspects of scientific computing and clinical QC/QA) and an Associate Professor in the Department of Imaging Physics at the University of Texas' M. D. Anderson Cancer Center (MDACC) in Houston, TX-USA. Before then, I was the founding Technical Director for Advanced Imaging and an Associate Attending/Professor in the Departments of Radiology and Medical Physics at Memorial Sloan-Kettering Cancer Center (MSKCC) in New York, NY-USA. Prior to that, I was project leader and founding Director of the Laboratory of Functional and Multidimensional Imaging (LFMI) across the Departments of Radiology and Surgery at the University Hospitals in Geneva-Switzerland. Earlier still, I was Head of Instrumentation, Imaging and Data Processing and a co-founder of the PET and Biomedical Cyclotron centre at the Erasme University Hospital in Brussels-Belgium, where I had moved after working several years as R&D and Computer Scientist in the Division of Biophysics and Nuclear Medicine at the University of California in Los Angeles (UCLA), CA-USA and having previously contributed to further seminal PET and SPECT R&D at the Service Hospitalier Frédéric Joliot (SHFJ) in Orsay-France.
Throughout my career in inherently multidisciplinary academic institutions, my main interests have consistently centred from devising to exploiting advanced approaches and entities for maximising the understanding and actionability of the information collected through the great variety of imaging modalities and other sensors. Especially in the biomedical domain, such concepts - and their optimal dissemination through education and training - span many a discipline (from fundamental ones to engineering, computing and medicine) and the whole spectrum of micro to animals and humans. By design, these interests and the corresponding experience are eminently relevant to research as well as to translational applications and education in all related disciplines and applications.