Josien Pluim holds an MSc degree in Computer Science from Groningen University, the Netherlands. She developed an interest in medical applications during her Master’s project and consequently did a PhD project on medical image registration at the Image Sciences Institute, University Medical Center Utrecht. After her graduation in 2001, she continued as an assistant professor (and later associate professor) in the same group, with the exception of a stay at the Image Processing and Analysis Group at Yale University.
In 2014 she was appointed full professor at Eindhoven University of Technology, with a joint appointment at the UMC Utrecht, for one day a week. She is head of the Medical Image Analysis group (IMAG/e) in Eindhoven. Her research focus is on image analysis (e.g. registration, segmentation, detection), both methodology development and clinical applications. The latter in particular targeted at oncology.
Josien Pluim is associate editor of five journals (IEEE TMI, IEEE TBME, Medical Physics, Journal of Medical Imaging and Medical Image Analysis) and a member of the Board of the MICCAI Society. She was conference chair of SPIE Medical Imaging Image Processing 2006-2009, chair of WBIR 2006 and programme co-chair of MICCAI 2010.
Validation of image registration ¡© the truth is hard to make
Medical image registration has been a topic of research for many decades by now. In those years, enormous progress has been achieved in terms of the quality of the solutions, the complexity of problems that can be tackled and the speed of computation. There is one aspect falling far behind with respect to progress: validation. Although attempts to validate image registration methods have been made, their number and success do not match that of method development. Finding ways to evaluate method
performance is a very tough problem.
The presentation will focus on ways in which registration is standardly validated, on recent developments in validation and on dilemmas encountered. Although some aspects treated are specific to image registration or medical applications, many of the material covered is generic and holds for other areas of image analysis.