Improvements in level set segmentation of 3D small animal imagery

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

In this paper, we investigate several improvements to region-based level set algorithms in the context of segmenting x-ray CT data from pre-clinical imaging of small animal models. We incorporate a recently introduced signed distance preserving term into a region-based level set model and provide formulas for a semi-implicit finite difference implementation. We illustrate some pitfalls of topology preserving level sets and introduce the concept of connectivity preservation as a potential alternative. We illustrate the benefits of these improvements on phantom and real data.

Original languageEnglish
Title of host publicationMedical Imaging 2007
Subtitle of host publicationImage Processing
EditionPART 2
DOIs
StatePublished - 2007
EventMedical Imaging 2007: Image Processing - San Diego, CA, United States
Duration: Feb 18 2007Feb 20 2007

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
NumberPART 2
Volume6512
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2007: Image Processing
Country/TerritoryUnited States
CitySan Diego, CA
Period02/18/0702/20/07

Keywords

  • Active contours
  • Level sets
  • Segmentation
  • Topology preserving level sets

Fingerprint

Dive into the research topics of 'Improvements in level set segmentation of 3D small animal imagery'. Together they form a unique fingerprint.

Cite this