Document Detail


Color-encoded distance visualization of cranial nerve-vessel contacts.
MedLine Citation:
PMID:  20383598     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
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.
Authors:
Jochen Süssmuth; Wassilios-Daniele Protogerakis; Alexander Piazza; Frank Enders; Ramin Naraghi; Günther Greiner; Peter Hastreiter
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Publication Detail:
Type:  Journal Article     Date:  2010-04-10
Journal Detail:
Title:  International journal of computer assisted radiology and surgery     Volume:  5     ISSN:  1861-6429     ISO Abbreviation:  Int J Comput Assist Radiol Surg     Publication Date:  2010 Nov 
Date Detail:
Created Date:  2010-12-21     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101499225     Medline TA:  Int J Comput Assist Radiol Surg     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  647-54     Citation Subset:  IM    
Affiliation:
University of Erlangen-Nuremberg, Germany. suessmuth@cs.fau.de
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