Document Detail

Real-time liver motion compensation for MRgFUS.
MedLine Citation:
PMID:  18982679     Owner:  NLM     Status:  MEDLINE    
MR-guided focused ultrasound (MRgFUS) is a non-invasive method by which tissue is ablated using ultrasound energy focused on a point. The procedure has proven effective for stationary targets (e.g. uterine fibroids) but has not yet been used for liver lesion treatment due to organ motion. We describe a method to compensate for organ motion to enable continuous application of ultrasound energy in the presence of target movement in the liver. The method involves tracking several salient features (typically blood vessels) in the vicinity of the target location. The location of the target point(s) themselves are updated using a thin plate spline (TPS) interpolation scheme. We demonstrate sub-pixel tracking accuracy on synthetic sequences and additionally show results on MRI sequences acquired on human subjects. Per-feature tracking times were measured to be 5.7ms with a standard deviation of 1.6ms, sufficient for real-time use.
James C Ross; Rekha Tranquebar; Dattesh Shanbhag
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention     Volume:  11     ISSN:  -     ISO Abbreviation:  Med Image Comput Comput Assist Interv     Publication Date:  2008  
Date Detail:
Created Date:  2008-11-05     Completed Date:  2008-12-30     Revised Date:  2009-12-11    
Medline Journal Info:
Nlm Unique ID:  101249582     Medline TA:  Med Image Comput Comput Assist Interv     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  806-13     Citation Subset:  IM    
GE Global Research, Niskayuna NY 12309, USA.
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MeSH Terms
Computer Systems
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Liver Neoplasms / therapy*,  ultrasonography*
Therapy, Computer-Assisted / methods*
Ultrasonic Therapy / methods*

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