MedViz Image Contest

Winners from MedViz-Image-contest-2016:

 

Pelviz by Noeska Smit

PelVis by Noeska Smit, Kai Lawonn, Annelot Kraima, Marco de Ruiter, Hessam Sokooti, Stefan Bruckner, Elmar Eisemann & Anna Vilanova.

This image depicts PelVis [1], 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) [1] 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 [3].

[1]: 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.

[2]: 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.

[3]: Demo video: https://graphics.tudelft.nl/Publications-new/2016/SLKDSBEV16/demo.mp4

 

MonsterStudie by Sergej Stoppel

Arteries in focus by Sergej Stoppel. This is a volume rendering of the abdominal region. On the volume rendering Sergej applied an “artistic converter”, which keeps the foreground as it is and maps the background on a “canvas” representation. The foreground is selected semi automatically through structure tracing based on contours.

 

Image from Niels de Hoon

Turbulent flow in an aorta by Niels de Hoon, Kai Lawonn, Andrei Jalba, Elmar Eisemann & Anna Vilanova.

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. The image depicts the 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-winners-2016

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).

 

Winners from 2015:

2015 Winner_Paolo_Angelelli_US_Vintricular_Septal_Defect

Paolo Angelelli: Ultrasound Ventricular Septal Defect. The Picture depicts the vortex formation and shunt flow in a newborn baby With a Ventricular Septal defect, which is a hole in between the two ventricles.

 

2015 Winner_Irene_Heggstad _ Amaryllis Charisma

Irene Heggstad: Amaryllis Charisma. The image is a collage of photography and micrography, plant and pollen, grains in the size of 20 μm is taken through a scanning electron microscope at UiB.

2015 Winners_Stoppel & Hodneland _ Breath induces movement speed of the kidney over time

Sergej Stoppel and Erlend Hodneland: Breath induces movement speed of the kidney over time. In this image, one can see the velocity of the kidney movement induced through breathing. And we can clearly see that medulla moves with a different speed than the rest of the kidney. We used a rainbow colour map with red being low velocity and blue high velocity.