Active contour-based multiresolution transforms for the segmentation of fluorescence microscope images

Gowri Srinivasa, Matthew Fickus, Jelena Kovacevic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In recent years, the focus in biological science has shifted to understanding complex systems at the cellular and molecular levels, a task greatly facilitated by fluorescence microscopy. Segmentation, a fundamental yet difficult problem, is often the first processing step following acquisition. We have previously demonstrated that a stochastic active contour based algorithm together with the concept of topology preservation (TPSTACS) successfully segments single cells from multicell images. In this paper we demonstrate that TPSTACS successfully segments images from other imaging modalities such as DIC microscopy, MRI and fMRI. While this method is a viable alternative to hand segmentation, it is not yet ready to be used for high-throughput applications due to its large run time. Thus, we highlight some of the benefits of combining TPSTACS with the multiresolution approach for the segmentation of fluorescence microscope images. Here we propose a multiscale active contour (MSAC) transformation framework for developing a family of modular algorithms for the segmentation of fluorescence microscope images in particular, and biomedical images in general. While this framework retains the flexibility and the high quality of the segmentation provided by active contour-based algorithms, it offers a boost in the efficiency as well as a framework to compute new features that further enhance the segmentation.

Original languageEnglish (US)
Title of host publicationWavelets XII
Volume6701
DOIs
StatePublished - Dec 1 2007
EventWavelets XII - San Diego, CA, United States
Duration: Aug 26 2007Aug 29 2007

Other

OtherWavelets XII
CountryUnited States
CitySan Diego, CA
Period8/26/078/29/07

Fingerprint

Active Contours
Multiresolution
Microscope
Fluorescence
Microscopes
Segmentation
microscopes
Transform
fluorescence
Dacarbazine
Fluorescence microscopy
Magnetic resonance imaging
Large scale systems
Microscopic examination
microscopy
Topology Preservation
Throughput
Topology
Imaging techniques
Fluorescence Microscopy

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Active contour-based multiresolution transforms for the segmentation of fluorescence microscope images. / Srinivasa, Gowri; Fickus, Matthew; Kovacevic, Jelena.

Wavelets XII. Vol. 6701 2007. 67010I.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Srinivasa, G, Fickus, M & Kovacevic, J 2007, Active contour-based multiresolution transforms for the segmentation of fluorescence microscope images. in Wavelets XII. vol. 6701, 67010I, Wavelets XII, San Diego, CA, United States, 8/26/07. https://doi.org/10.1117/12.734780
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