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Color-encoded distance visualization of cranial nerve-vessel contacts

  • Jochen Süßmuth
  • Wassilios-Daniele Protogerakis
  • Alexander Piazza
  • Frank Enders
  • Ramin Naraghi
  • Günther Greiner
  • Peter Hastreiter
Original Article

Abstract

Purpose

Visualization of pathological contact between cranial nerves and vascular structures at the surface of the brainstem is important for diagnosis and treatment of neurovascular compression (NVC) syndromes. We developed a method for improved visualization of this abnormality.

Methods

Distance fields were computed using preoperative MRI scans of individuals with NVC syndromes to support the topological representation of brainstem surface structures with quantitative information. Polygonal models of arteries, cranial nerves and the brainstem were generated using segmented T2 weighted MR data. After color-coding the polygonal models with the respective distances, enhanced color visualization of vessel-nerve locations with possible contacts was achieved.

Results

The proposed method was implemented and applied to surgical planning in a dozen cases of NVC syndrome. Two selected cases were chosen to demonstrate the feasibility and subjective improvement provided by our visualization technique. Expert neurosurgeons found the improvement valuable and useful for these cases.

Conclusion

Color-encoded distance information significantly improves the perceptibility of potential nerve-vessel contacts. This method contributes to a better understanding of the complex anatomical situation at the surface of the brainstem and assists in planning of surgery.

Keywords

Neurovascular compression Nerve-vessel contact Polygonal models Distance visualization NVC syndromes Microvascular decompression 

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Copyright information

© CARS 2010

Authors and Affiliations

  • Jochen Süßmuth
    • 1
  • Wassilios-Daniele Protogerakis
    • 1
  • Alexander Piazza
    • 1
  • Frank Enders
    • 2
  • Ramin Naraghi
    • 2
  • Günther Greiner
    • 1
  • Peter Hastreiter
    • 2
  1. 1.Informatik 9-Computer Graphics GroupUniversity of Erlangen-NurembergErlangenGermany
  2. 2.Department of NeurosurgeryUniversity of Erlangen-NurembergErlangenGermany

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