Color Encoded Distance Visualization for Analysis of Cranial Nerve-Vessel Contacts

Beitrag in einer Fachzeitschrift
(Originalarbeit)


Details zur Publikation

Autor(en): Süßmuth J, Protogerakis WD, Piazza A, Enders F, Naraghi R, Greiner G, Hastreiter P
Zeitschrift: International Journal of Computer Assisted Radiology and Surgery
Verlag: Springer Verlag (Germany)
Jahr der Veröffentlichung: 2010
Band: 5
Heftnummer: 6
Seitenbereich: 647-654
ISSN: 1861-6410
Sprache: Englisch


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




 



FAU-Autoren / FAU-Herausgeber

Greiner, Günther Prof. Dr.
Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung)
Piazza, Alexander
Lehrstuhl für Wirtschaftsinformatik, insbesondere im Dienstleistungsbereich
Süßmuth, Jochen Dr.-Ing.
Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung)


Zitierweisen

APA:
Süßmuth, J., Protogerakis, W.-D., Piazza, A., Enders, F., Naraghi, R., Greiner, G., & Hastreiter, P. (2010). Color Encoded Distance Visualization for Analysis of Cranial Nerve-Vessel Contacts. International Journal of Computer Assisted Radiology and Surgery, 5(6), 647-654. https://dx.doi.org/10.1007/s11548-010-0410-2

MLA:
Süßmuth, Jochen, et al. "Color Encoded Distance Visualization for Analysis of Cranial Nerve-Vessel Contacts." International Journal of Computer Assisted Radiology and Surgery 5.6 (2010): 647-654.

BibTeX: 

Zuletzt aktualisiert 2018-11-07 um 14:10