KEYWORDS: Particles, Medical imaging, Polymers, Quantum mechanics, Quantum information, Monte Carlo methods, Mechanics, Quantum physics, Digital imaging, Statistical modeling
In this paper we proposed a novel path integral method using multilevel Metropolis sampling to extract the contours of
interested objects of medical images, which is a quantum statistical approach inspired by the essential characteristics of
quantum. The implemented multilevel Metropolis sampling is a fast approach to the sampling problem and can be used
to sample any distribution function and calculate all actions for the movements of quantum particle towards the position
with high probability density likely to be accepted. Comparing with traditional deformable models based on classical
mechanics which are sensitive to the initialization of contour and difficult to adapt topology changes of the contour, our
work has the capability to break through the limitations of deformable models and makes the boundary extraction in high
noise and low contrast of medical images possible. Experiments were performed with synthetic and medical images and
the feasibility and potential of our method was demonstrated.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.