Document Detail


An incremental method for registering electroanatomic mapping data to surface mesh models of the left atrium.
MedLine Citation:
PMID:  18982684     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We present a method for registering position and orientation data collected from an electroanatomic mapping system (EMS) to a surface mesh based on segmented Computed Tomography (CT) or Magnetic Resonance (MR) images of the left atrium. Our algorithm is based on the Unscented Particle Filter (UPF) for stochastic state estimation. Using an intracardiac echo (ICE) ultrasound catheter with mounted mapping sensor, we acquire ultrasound images of the atrium from multiple configurations and iteratively determine the catheter's pose with respect to anatomy. After considering less than a minute's worth of ICE data, the algorithm converges to an accurate pose estimate which, in turn, yields the registration parameters transforming EMS coordinates to mesh coordinates. The iterative framework of the UPF allows us to be robust to unmodeled EMS noise and drift, problems which complicate traditional registration methods assuming regularity in image data structure.
Authors:
Aditya B Koolwal; Federico Barbagli; Christopher R Carlson; David H Liang
Related Documents :
11835614 - Accuracy evaluation of surface-based registration methods in a computer navigation syst...
15218564 - Markerless laser registration in image-guided oral and maxillofacial surgery.
2257544 - Neurosurgery with craniotomy and ct stereotactic guidance in the treatment of intracere...
21909754 - Functional testicular evaluation using pet/ct with (18)f-fluorodeoxyglucose.
8418314 - Thoracic magnetic resonance imaging: physics and pulse sequences.
8983594 - Case report: mr imaging of juvenile papillomatosis of the breast.
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:  847-54     Citation Subset:  IM    
Affiliation:
Department of Mechanical Engineering, Stanford University, USA.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Atrial Function*
Body Surface Potential Mapping / methods*
Computer Simulation
Diagnostic Imaging / methods*
Finite Element Analysis
Heart Atria / anatomy & histology*,  radiography*
Heart Conduction System / anatomy & histology*,  physiology*
Humans
Magnetic Resonance Imaging / methods
Models, Cardiovascular
Subtraction Technique*
Tomography, X-Ray Computed / methods

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


Previous Document:  Adaptive boundary conditions for physically based follow-up breast MR image registration.
Next Document:  Fast, adaptive expectation-maximization alignment for Cryo-EM.