Combined CT-video registration and tracking for endoscopic guidance
Abstract (Summary)
The current state-of-the-art workflow for endoscopic procedures consists of two steps. The
first step involves acquisition and analysis of a three-dimensional computed tomography
image to locate suspicious regions of interest and plan routes to reach them. In the second
step, the physician attempts to maneuver the endoscope along the pre-planned route
through the patient’s anatomy to reach these regions of interest. Navigation errors are common
in standard practice and stem from the difficulty of pre-operative analysis and from
the dissimilarity of the pre-operative data-set and the endoscopic video.
This thesis proposes automated registration and tracking methods for registering the
pre-operative data-set to the incoming live video in real-time. The registration locates
the bronchoscope with respect to the anatomy and allows navigation routes and regions
of interest that are defined pre-operatively within the computed tomography image to be
continuously fused with the endoscopic video. The registration and tracking methods form
the basis for an endoscopic guidance system described in this thesis. The guidance system
uses novel interaction and visualization strategies that can assist a physician in reaching a
region of interest and improve the accuracy of hitting a pre-specified anatomical target.
We provide numerous laboratory results characterizing the performance of the registration
methods. These results show that the registration algorithm is over 100x faster
than previous methods, while simultaneously improving robustness and accuracy. We also
present results showing the utility of the guidance system and strategies in phantom studies
and in live human procedures.
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Bibliographical Information:
Advisor:
School:Pennsylvania State University
School Location:USA - Pennsylvania
Source Type:Master's Thesis
Keywords:
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