Visualisation professorship at the University of Bergen (Norway)

The Department of Informatics at the University of Bergen has the opportunity to hire a new professor (a full, i.e., tenured professor) into the visualization research group with the overall goal to achieve a good complementary fit with the existing research/teaching profile in visualization.

The position has been announced via the jobbnorge-portal, together with a short description of the environment and the plans with regard to the new professor (see also the attached PDF). The application deadline is set to Dec. 22nd, 2011.

Report on the Medical Visualization session at VisWeek 2011

(We are happy and grateful that Dr. Steffen Oeltze from the University of Magdeburg Visualization Group could write this short report on the medical visualization session and other medvis-related papers at IEEE VisWeek 2011.)

This year, the IEEE VisWeek has been completed by an excellent session on medical visualization hosting five contributions from three European countries. Roy van Pelt gave a compelling talk on the exploration of cardiovascular 4D MRI blood-flow using stylistic visualizations. His comic-inspired illustrative glyphs coupled with timelines outperform traditional particle renderings. Interactive virtual probing of the flow
avoids a tedious segmentation process in qualitative inspection.

Rostislav Khlebnikov presented a new approach to tumor accessibility planning. It exploits a well-known natural phenomenon related to light scattering at dust particles which is also called crepuscular rays. In the generated 2D/3D images, light beams in different colors that shine through the skin indicate the access paths and their associated risk.

Christian Dick presented new visualization techniques for conveying distances in interactive 3D implant planning. The design of very intuitive distance glyphs and colored slice sets was completed by a carefully accomplished, convincing user study.

Rocco Gasteiger introduced the FlowLens for focus+context visualization of blood flow in cerebral aneurysms. It supports an exploration of certain hemodynamic attributes in the lens region within the context of other attributes thereby avoiding the cognitive effort involved in mental superimposition of side-by-side visualizations. Please watch the supplemental video:

The session was completed by the interesting talk of Artem Amirkhanov on the reduction of metal artifacts in industrial 3D X-ray CT images. He presented a projection-space pipeline in which metal is separated from the other materials before projection and then fused again with the initial reconstruction after projection.

Other talks not being part of the session but also related to medical visualization were given by Claes Lundström on the application of a multi-touch table system to orthopedic surgery planning, Christian Rieder on real-time approximation of the ablation zone for radiofrequency ablation (see the very nice video), Joseph Marino on context preserving maps of tubular structures, e.g., the colon, and Paolo Angelelli on straightening aortic blood flow for side-by-side visualization.

Exposure Render 1.1 now available!

Exposure Render is the open source GPU volume rendering implementation by Thomas Kroes. What makes this different from all other DVR implementations is the fact that it supports physically-based lighting at interactive speeds. So what does all of that mean? It means that you can make incredibly pretty interactive volume renderings on your own PC. See this youtube movie for example:

… or the rendering below (one of my favourites):

Rendering made at interactive speeds from CT data. Note the pretty shadows!

Read more about Exposure Render by going to its TU Delft Graphics website, or to the Google Code project page where you can download and play with the software!

P.S. Don’t forget to cite the paper when it gets published.

MedVis Ph.D. vacancy at the TU Delft

The Medical Visualisation group at the TU Delft currently has a fully funded 4-year Ph.D. vacancy. The successful candidate will work together with another Ph.D. student from the LUMC Departments of Anatomy and Surgery on building the Virtual Surgical Pelvis, a next generation surgical model, in silico, of the human pelvis, based on extremely high resolution histological sections. For more details on the project and the vacancy, see this webpage.

The deadline for applying is May 15, so you better hurry up!

IEEE Visualization Contest 2010 winners announced.

This year’s IEEE Visualization Contest was medically-themed: Contestants had to demonstrate how the visualisation of multi-modal datasets could be used for neuro-surgical planning. More specifically, submissions had to show how the following two questions could be best answered:

  1. What is the relation between the lesion, functional areas and white matter tracts?
  2. How can the lesion be accessed most safely?

Recently, the winning team and three honourable mentions were announced:

Winner: Pre-Operative Planning of Brain Tumor Resections by Stefan Diepenbrock, Jörg-Stefan Praßni, Florian Lindemann, Hans-Werner Bothe and Timo Ropinski.

Honourable mention 1: An Exploration and Planning Tool for Neurosurgical Interventions by Diana Röttger, Sandy Engelhardt, Christopher Denter, Burkhard Güssefeld, Annette Hausdörfer, Gerrit Lochmann, Dominik Ospelt, Janine Paschke, QiAn Tao, Stefan Müller.

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Honourable mention 2: Neurosurgical Intervention Planning with VolV by Silvia Born, Daniela Wellein, Peter Rhone, Matthias Pfeifle, Jan Friedrich, Dirk Bartz.

Honourable mention 3: A Fiber Navigator for Neurosurgical Planning (NeuroPlanningNavigator) by Olivier Vaillancourt, Gabriel Girard, Arnaud Bore, Maxime Descoteaux.

You can also download a 550 MB zip file with all the contributions from the contest website.

BrainLab’s Digital Lightbox

I would really love one of these to play with!

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According to the product page:

Digital Lightbox is a multi-touch display that allows surgeons and physicians to instantly access and manipulate digital medical data through the power of touch.

(Found via MedGadget.)