Medical Visualization PhD defenses

I apologize for the delay in reporting this, but I heard about/attended three great medical visualization PhD defenses late 2014:

  1. Dr. Mathias Goldau successfully defended his PhD at the University of Leipzig. His thesis is entitled ‘Multi-modal and Slice-based Visualizations of Diffusion Tractography Data’ and you may or may not already be familiar with his work on OpenWalnut, an open source tool for multi-modal medical and brain data visualization. The full text of the thesis can be downloaded here or take a look at his publications here.
  2. Dr. Peter Kok successfully defended his PhD at the Technical University of Delft. In his thesis, ‘Integrative Visualization of Whole Body Molecular Imaging Data‘, Dr. Kok present methods to map molecular imaging data to a common reference frame, to combine multiple modalities and to compare scans taken at different timepoints. The full text of the thesis is available here.

    Dr. Kok with his paranymphs and the thesis committee members.

    Dr. Kok with his paranymphs and the thesis committee members. tblr: Jos Roerdink, Elmar Eisemann, Charl Botha, Erik Jansen, Boudewijn Lelieveldt, beadle Rina Abbriata, Louise van der Weerd, Bernhard Preim, Noeska Smit, Peter Kok, Thomas Kroes and the head of the committee.

  3. On the same day, Dr. Stef Busking successfully defended his PhD at the Technical University of Delft as well. His thesis, ‘Visualization of Variation and Variability‘ deals with comparative visualization as a means to analyze variation or variability based on two or more specific instances of the data. The full text of the thesis is available here.

Congratulations to all three doctors!

Open PhD and PostDoc positions: Visual Analysis in Population Imaging Research (VAnPIRe) @TUDelft (The Netherlands)

The TU Delft in the Netherlands currently has two open medvis research positions: there is room for a new PhD and a PostDoc. The PhD/PostDoc position will be part of the Population Imaging Genetics project (stw-imagene) that involves linking observations on the human genome to observations in imaging data. Novel, genome-wide sequencing approaches combined with large-scale population imaging studies open up unprecedented possibilities for discovering the cause of a disease and relating it to its anatomical and functional consequences.

The exact nature of the features (markers) that have the highest correlation with the clinical outcomes under study is by definition hard to predict. Due to the magnitude and heterogeneity of the data, as well as the nonspecific nature of the features that are being sought, this is a complex and laborious process.
We envision a new class of visual analysis techniques that enable the structured and interactive visual exploration of population imaging data. With these techniques, patterns and high-potential hypotheses can be flexibly derived from population imaging data, aiding both the derivation of insight and the search for predictive data features.

The main aim of this project is to develop and evaluate a new, interactive visual analysis approach that enables the extraction of patterns and high-potential hypotheses from the irregular and complex population imaging research data.
New insights into the mechanisms behind the clinical outcome of a population can be extracted by augmenting the human visual system with interactive visualization and coupled feature extraction techniques.

If you’d like to become my coworker, a VAnPIRe and/or work on this cool project, you can apply via the TUDelft vacancy pages: PhD – PostDoc

Christian Rieder: Medical Visualization Thesis Defended with Distinction

Yesterday, Christian Rieder of Fraunhofer MEVIS successfully defended his Ph.D. thesis entitled Interactive Visualization for Assistance of Needle-Based Interventions at the Jacobs University Bremen.Supervised by Horst Hahn, Christian made a number of significant contributions in the last years, leading to strong publications at VisWeek and EuroVis, and a MedVis-Award distinction in 2010. Thus, it was not too surprising that the thesis was assessed with the highest possible grade.

Visualization from Christian's 2011 VisWeek paper showing RF applicator, tumor, the approximated ablation zone in red and thermal cooling of blood vessels in blue.

Visualization from Christian’s 2011 VisWeek paper showing RF applicator, tumor, the approximated ablation zone in red and thermal cooling of blood vessels in blue.

Christian’s work aims at supporting clinical workflows, primarily in radio frequency ablation, supporting both the pre-interventional as well as the interventional stage with highly advanced and carefully adapted visualizations indicating tumors, risk structures, security margins as well as results from approximative simulations that predict the thermal lesion produced by RFA. Illustrative techniques, smart map projections, very efficient GPU realizations as well as careful evaluations with relevant physicians are landmarks of Christian’s work, which may be explored on his website in detail.

(editor: Thanks to Prof. Bernhard Preim for submitting this news. We have always been a fan of Christian and his work, and we are very happy to hear of this success!)

PhD position Uncertainty Visualization for Digital Radiation Therapy available at Eindhoven University of Technology (the Netherlands)

Eindhoven University of Technology and more specifically the Department of Biomedical Engineering have a PhD position available on the interesting topic of uncertainty visualization for digital radiotherapy planning in the Multivalued Image Analysis & Visualization group led by dr. Anna Vilanova. This project is part of the FP7 EU-STREP project ‘DR THERAPAT’- Digital Radiation Therapy Patient’. The goal of this project is to achieve an easy-to-use and easy-to-understand visualization and exploration of the multimodal, multi-value data involved in cancer radiotherapy planning – including the uncertainty in these data – in each step of the radiotherapy planning pipeline and in the final planning outcome.

More information on this position can be found here. Don’t miss this excellent opportunity if you’re interested and apply before the application deadline (the 29th of December 2012).

PhD Position in Medical Visualization available at VRVis in Vienna (Austria)

The second position mentioned in this post is still available! To reiterate, they are looking for an Early Stage Researcher in the EU Initial Training Network (ITN) Software for the use of Multi-Modality Images in External Radiotherapy (SUMMER).

They are looking for a motivated young scientist that would love to use medical visualization to aid in the development of cutting edge solutions for radiotherapy planning. The starting date is as soon as possible, but before January 1, 2013. If you are interested in this position, please check this page for more details or contact Katja Bühler (buehler@vrvis.at) via e-mail. If you’re currently attending MICCAI 2012, you could also arrange to meet her there via e-mail.

Medical Visualization Ph.D. position available at Graz University of Technology (Austria)

There’s a Ph.D. position available in the exciting research field of medical visualization at Graz University of Technology in Austria. The project you’d be working on involves the visualization of minimally invasive intervention simulation, such as RFA or cryoablation for cancer treatment .

The start date for the position in this EU-funded project is the first of January in 2013, so start sending in those applications! More information can be found here.

Open Positions at KAUST – Geometric Modeling and Scientific Visualization Center (Saudi Arabia)

I just returned from Eurovis 2012 and while a more detailed write-up of that will be posted soon, I wanted to let you know about several open positions over at KAUST in Saudi Arabia in the meantime.

An example of the research done at GMSV 'Fused Multi-Volume DVR using Binary Space Partitioning'

The newly formed Geometric Modeling and Scientific Visualization Center (GMSV) is looking for 5-10 post-docs, MS and PhD students as well as short term visitors (2-3 months). A overview of their scivis work so far can be seen here. Contact them by sending an email to gmsvfaculty(a)kaust.edu.sa.