FitEllipsoid: a fast supervised ellipsoid segmentation plugin.

ABSTRACT:

Background

The segmentation of a 3D image is a task that can hardly be automatized in certain situations, notably when the contrast is low and/or the distance between elements is small. The existing supervised methods require a high amount of user input, e.g. delineating the domain in all planar sections.

Results

We present FitEllipsoid, a supervised segmentation code that allows fitting ellipsoids to 3D images with a minimal amount of interactions: the user clicks on a few points on the boundary of the object on 3 orthogonal views. The quantitative geometric results of the segmentation of ellipsoids can be exported as a csv file or as a binary image. The core of the code is based on an original computational approach to fit ellipsoids to point clouds in an affine invariant

SUBMITTER: Kovac B 

PROVIDER: S-EPMC6419800 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature