Title
Endoscope 3-D motion tracking using an aggressive particle filtering for boosting electromagnetic guidance endoscopy
Abstract
The paper proposes a novel endoscope motion estimation method that bases an aggressive particle filter (APF) for enhancing electromagnetic tracking (EMT) during guided endoscopy. We explore an APF strategy to resolve two main limitations of EMT sensor measurements: (1) inaccuracy due to airway deformation and (2) instability or jitter errors because of magnetic field distortion. During such a strategy, a swarm intelligent technique - particle swarm optimization that was modified to traceably determine evolutionary parameters in this paper was embedded into a generic particle filter (GPF) to address particle impoverishment that usually occurs in GPF. Experimental results from validating our method on a dynamic bronchial phantom demonstrate our method's effectiveness and robustness during EMT-guided endoscopy. The tracking pose error was significantly reduced from (4.3, 7.8) to (2.7 mm, 5.6°).
Year
Venue
Keywords
2012
ICPR
particle filtering (numerical methods),particle impoverishment,aggressive particle filtering,swarm intelligent technique,endoscopes,dynamic bronchial phantom demonstrate,particle swarm optimisation,evolutionary parameters,electromagnetic tracking enhancement,jitter errors,generic particle filtering,apf strategy,endoscope 3d motion tracking,gpf,magnetic field distortion,deformation,emt sensor measurement,emt-guided endoscopy,sensors,emt enhancement,boosting electromagnetic guidance endoscopy,magnetic fields,airway deformation,medical image processing,endoscope motion estimation method,particle swarm optimization,image motion analysis
Field
DocType
ISSN
Particle swarm optimization,Computer vision,Computer science,Particle filter,Imaging phantom,Robustness (computer science),Artificial intelligence,Motion estimation,Jitter,Distortion,Match moving
Conference
1051-4651
ISBN
Citations 
PageRank 
978-1-4673-2216-4
0
0.34
References 
Authors
6
3
Name
Order
Citations
PageRank
Xiongbiao Luo112422.22
Takayuki Kitasaka252067.91
Kensaku Mori31125160.28