Winners of MedViz image contest
MedViz wishes to use scientific pictures to profile our activity. This is because all our activities are based on images, image information and its utilization for improved diagnoses resulting in better patient treatment. This was the second year that we arranged an image contest and we received nine submissions. MedViz has got the rights of use for profiling purposes, with a clear reference to the originators. The committee (Erlend Hodneland, Erik Hanson, Elin Myhrvold Riple and Ragnar Nortvedt) selected the three following winners (without any particular rating among them):
- PelVis by Noeska Smit, Kai Lawonn, Annelot Kraima, Marco de Ruiter, Hessam Sokooti, Stefan Bruckner, Elmar Eisemann, Anna Vilanova
- Arteries in focus by Sergej Stoppel
- Turbulent flow in an aorta by Niels de Hoon, Kai Lawonn, Andrei Jalba, Elmar Eisemann, Anna Vilanova
The winners of MedViz image contest 2016 received their awards in Gallery Nygaten, from the left: Sergej Stoppel (Dept. of Informatics, University of Bergen), Noeska Smit (Dept. of Informatics, University of Bergen), and Niels de Hoon (Technical UniversityDelft, The Netherlands). See the images below.
PelVis by Noeska Smit, Kai Lawonn, Annelot Kraima, Marco de Ruiter, Hessam Sokooti, Stefan Bruckner, Elmar Eisemann, Anna Vilanova
This image depicts PelVis , an interactive application for surgical planning for the Total Mesorectal Excision (TME) procedure. During this surgical procedure, undesired side-effects occur in up to 80% of the cases due to damage to the autonomic nerves. These nerves are damaged easily, since they are not visible in pre-operative MRI or even during the surgery. In order to visualize these nerves, we built an atlas model, the Virtual Surgical Pelvis (VSP) , that reveals zones in which the autonomic nerves reside based on cryosection and immunohistochemical studies. In the PelVis application, we register this atlas to patient-specific clinical MRI data and thus are able to make patient-specific virtual models of the individual patient, and to reveal the autonomic nerve zones pre-operatively, as displayed here in yellow. We highlight the distance of the mesorectal wall to these nerve zones using a colormap (red to white) combined with isolines. Furthermore, other surgically relevant anatomy is shown for spatial context, without occluding the view on the mesorectum, and the linked atlas-enriched MRI data can be explored interactively .
: Smit, N., Lawonn, K., Kraima, A., DeRuiter, M., Sokooti, H., Bruckner, S., … & Vilanova, A. PelVis: Atlas-based Surgical Planning for Oncological Pelvic Surgery. (2017) IEEE Transactions on Visualization & Computer Graphics, (1), 1-1. Accepted, to appear.
: Kraima, A., Smit, N. N., Jansma, D., West, N. P., Quirke, P., Rutten, H. J., … & DeRuiter, M. C. (2014). 62. The virtual surgical pelvis: A highly-detailed 3D pelvic model for anatomical education and surgical simulation. European Journal of Surgical Oncology, 40(11), S32.
: Demo video: https://graphics.tudelft.nl/Publicationsnew/2016/SLKDSBEV16/demo.mp4
Arteries in focus by Sergej Stoppel
This image depicts an artistic conversion of a volume rendering image of the abdominal region. The converter preserves the level of detail for organs in focus and abstracts the rest. In this case the blood vessels, the kidneys and parts of the rip cage where selected as important features. The selection of important features is done semi automatically through structure tracing based on contours.
Turbulent flow in an aorta by Niels de Hoon, Kai Lawonn, Andrei Jalba, Elmar Eisemann, Anna Vilanova
Turbulent flow in an aorta with a dissection using transparent particles.
The particles were emitted and advected continiously through time. The age of the particles is represented by a blue to red color scheme.
The patient 4D MRI blood-flow data shown in this image was provided courtesy of the division of Imaging Sciences, King’s College Londen at St Thomas’ hospital.