3D segmentation of the mouse spleen in microCT via active contours

Deniz Aykac, Jeffery R. Price, Jonathan S. Wall

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

6 Scopus citations

Abstract

We present in this paper a novel method for 3D segmentation of the mouse spleen in x-ray CT (microCT) data. Our approach is based upon the 2D "active contours for smooth without edges" algorithm. We introduce a simple statistical weighting scheme that improves region contrast and segmentation performance. We extend the 2D approach to 3D by slice-to-slice processing, including the 3D flow of image statistics. The technique requires no training and operates semi-automatically, requiring only the entry of a single seed point within the spleen. Results are shown that demonstrate the effectiveness of our approach.

Original languageEnglish
Title of host publication2005 IEEE Nuclear Science Symposium Conference Record -Nuclear Science Symposium and Medical Imaging Conference
Pages1542-1545
Number of pages4
DOIs
StatePublished - 2005
EventNuclear Science Symposium Conference Record, 2005 IEEE - , Puerto Rico
Duration: Oct 23 2005Oct 29 2005

Publication series

NameIEEE Nuclear Science Symposium Conference Record
Volume3
ISSN (Print)1095-7863

Conference

ConferenceNuclear Science Symposium Conference Record, 2005 IEEE
Country/TerritoryPuerto Rico
Period10/23/0510/29/05

Keywords

  • 3D segmentation
  • Active contours
  • Level sets
  • MicroCT
  • Spleen

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