Document Detail


Towards subject-specific models of the dynamic heart for image-guided mitral valve surgery.
MedLine Citation:
PMID:  18044557     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Surgeons need a robust interventional system capable of providing reliable, real-time information regarding the position and orientation of the surgical targets and tools to compensate for the lack of direct vision and to enhance manipulation of intracardiac targets during minimally-invasive, off-pump cardiac interventions. In this paper, we describe a novel method for creating dynamic, pre-operative, subject-specific cardiac models containing the surgical targets and surrounding anatomy, and how they are used to augment the intra-operative virtual environment for guidance of valvular interventions. The accuracy of these pre-operative models was established by comparing the target registration error between the mitral valve annulus characterized in the pre-operative images and their equivalent structures manually extracted from 3D US data. On average, the mitral valve annulus was extracted with a 3.1 mm error across all cardiac phases. In addition, we also propose a method for registering the pre-operative models into the intra-operative virtual environment.
Authors:
Cristian A Linte; Marcin Wierzbicki; John Moore; Stephen H Little; Gérard M Guiraudon; Terry M Peters
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Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention     Volume:  10     ISSN:  -     ISO Abbreviation:  Med Image Comput Comput Assist Interv     Publication Date:  2007  
Date Detail:
Created Date:  2007-11-29     Completed Date:  2008-01-03     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:  94-101     Citation Subset:  IM    
Affiliation:
Biomedical Engineering Graduate Program, University of Western Ontario, Canada. clinte@imaging.robarts.ca
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Artificial Intelligence
Cardiovascular Surgical Procedures / methods
Humans
Image Enhancement / methods
Image Interpretation, Computer-Assisted / methods*
Imaging, Three-Dimensional / methods*
Magnetic Resonance Imaging / methods*
Mitral Valve / anatomy & histology*,  surgery*
Models, Anatomic
Models, Biological
Numerical Analysis, Computer-Assisted
Pattern Recognition, Automated / methods
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted
Subtraction Technique
Surgery, Computer-Assisted / methods*
User-Computer Interface*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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