Efficient Descriptor-Based Segmentation of Parotid Glands With Nonlocal Means.

ABSTRACT:

Objective

We introduce descriptor-based segmentation that extends existing patch-based methods by combining intensities, features, and location information. Since it is unclear which image features are best suited for patch selection, we perform a broad empirical study on a multitude of different features.

Methods

We extend nonlocal means segmentation by including image features and location information. We search larger windows with an efficient nearest neighbor search based on kd-trees. We compare a large number of image features.

Results

The best results were obtained for entropy image features, which have not yet been used for patch-based segmentation. We further show that searching larger image regions with an approximate nearest neighbor search and location info

SUBMITTER: Wachinger C 

PROVIDER: S-EPMC5469701 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature