Chapter title |
MCMC curve sampling for image segmentation.
|
---|---|
Chapter number | 58 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007
|
Published in |
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, January 2007
|
DOI | 10.1007/978-3-540-75759-7_58 |
Pubmed ID | |
Book ISBNs |
978-3-54-075758-0, 978-3-54-075759-7
|
Authors |
Fan, Ayres C, Fisher, John W, Wells, William M, Levitt, James J, Willsky, Alan S, Ayres C. Fan, John W. Fisher, William M. Wells, James J. Levitt, Alan S. Willsky, Fan, Ayres C., Fisher, John W., Wells, William M., Levitt, James J., Willsky, Alan S. |
Abstract |
We present an algorithm to generate samples from probability distributions on the space of curves. We view a traditional curve evolution energy functional as a negative log probability distribution and sample from it using a Markov chain Monte Carlo (MCMC) algorithm. We define a proposal distribution by generating smooth perturbations to the normal of the curve and show how to compute the transition probabilities to ensure that the samples come from the posterior distribution. We demonstrate some advantages of sampling methods such as robustness to local minima, better characterization of multi-modal distributions, access to some measures of estimation error, and ability to easily incorporate constraints on the curve. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 4% |
Spain | 1 | 2% |
Germany | 1 | 2% |
United States | 1 | 2% |
Unknown | 42 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 23% |
Researcher | 10 | 21% |
Student > Master | 7 | 15% |
Professor | 5 | 11% |
Professor > Associate Professor | 5 | 11% |
Other | 6 | 13% |
Unknown | 3 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 32% |
Engineering | 12 | 26% |
Medicine and Dentistry | 5 | 11% |
Mathematics | 3 | 6% |
Physics and Astronomy | 3 | 6% |
Other | 3 | 6% |
Unknown | 6 | 13% |