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Title: Improvements in Level Set Segmentation of 3D Small Animal Imagery

Abstract

In this paper, we investigate several improvements to region-based level set algorithms in the context of seg- menting 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.

Authors:
 [1];  [1];  [1]
  1. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
966074
DOE Contract Number:
DE-AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: SPIE Medical Imaging Symposium, Image Processing Conference, San Diego, CA, USA, 20070217, 20070222
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; ALGORITHMS; ANIMALS; IMAGE PROCESSING; PHANTOMS; COMPUTERIZED TOMOGRAPHY; FINITE DIFFERENCE METHOD; Level sets; active contours; segmentation; topology preserving level sets

Citation Formats

Price, Jeffery R, Aykac, Deniz, and Wall, Jonathan. Improvements in Level Set Segmentation of 3D Small Animal Imagery. United States: N. p., 2007. Web.
Price, Jeffery R, Aykac, Deniz, & Wall, Jonathan. Improvements in Level Set Segmentation of 3D Small Animal Imagery. United States.
Price, Jeffery R, Aykac, Deniz, and Wall, Jonathan. Mon . "Improvements in Level Set Segmentation of 3D Small Animal Imagery". United States. doi:.
@article{osti_966074,
title = {Improvements in Level Set Segmentation of 3D Small Animal Imagery},
author = {Price, Jeffery R and Aykac, Deniz and Wall, Jonathan},
abstractNote = {In this paper, we investigate several improvements to region-based level set algorithms in the context of seg- menting 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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jan 01 00:00:00 EST 2007},
month = {Mon Jan 01 00:00:00 EST 2007}
}

Conference:
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