Olivier Rousset, PhD, is a PET Scientist at Bioclinica. He works closely with Bioclinica’s neuroradiologists, scientists, software engineers, and operation specialists on medical imaging endpoints for Neuroscience clinical trials. He also notably participates in the evaluation, training, and support of heterogeneous imaging facilities worldwide, and the deployment of advanced imaging protocols.
Prior to joining Bioclinica, Dr. Rousset was a researcher at Johns Hopkins Medical School in the department of radiology, where he pursued his work on improving PET accuracy through process automation and the development of study-specific analysis pipelines.
Dr. Rousset has many years of experience in Emission Tomography techniques with an emphasis on PET, as well as experience with structural MRI for multimodality correlation (registration, segmentation, atlasing). He formalized an entirely new method to address partial volume effects, the major source of quantification inaccuracies in PET. He extensively validated with original phantom experiments and computer simulations. He notably reported its accuracy and sensitivity to statistical noise and proposed a method to compute maximum expected inherent data variance increase -with experimental data closely following his theoretical predictions. Also, he developed methods to assess true image resolution of PET scanners as well as head movement correction solutions.
His partial volume correction method (usually referred to as the GTM, RSF, or Rousset method) has been adopted by groups such as Columbia University, University of Berkeley, Karolinska Institute (Sweden), and UCLA, as well as being supported by both open-source (e.g., SPM, PETpvc) and commercial (e.g., PMOD) software.
He has specific Neuroscience experience in Alzheimer’s Disease, Rett syndrome, Tourette syndrome, cocaine addiction, and Parkinson’s Disease.
His academic career includes holding a PhD in Biomedical Engineering at Claude Bernard University, Lyon 1 (France), where he also obtained his BS in Physics -Science and Structure of Matter, followed by post-doctoral fellowships at both the National Institute of Health and Johns Hopkins, which he joined as faculty as Research Associate in 2004.