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CEASAR: A smooth, accurate and robust centerline extraction algorithm

  • Stony Brook University

Research output: Contribution to conferencePaperpeer-review

55 Scopus citations

Abstract

We present CEASAR, a centerline extraction algorithm that delivers smooth, accurate, and robust results. Centerlines are needed for accurate measurements of length along winding tubular structures. Centerlines are also required in automatic virtual navigation through human organs, such as the colon or the aorta, as they are used to control movement and orientation of the virtual camera. We introduce a concise but general definition of a centerline, and provide an algorithm that finds the centerline accurately and rapidly. Our algorithm is provably correct for general geometries. Our solution is fully automatic, which frees the user from having to engage in data preprocessing. For a number of test datasets, we show the smooth and accurate centerlines computed by our CEASAR algorithm on a single 194 MHz MIPS R10000 CPU within five minutes.

Original languageEnglish
Pages45-52
Number of pages8
StatePublished - 2000
Event2000 IEEE Visualization Conference - Salt Lake City, UT, United States
Duration: Oct 8 2000Oct 13 2000

Conference

Conference2000 IEEE Visualization Conference
Country/TerritoryUnited States
CitySalt Lake City, UT
Period10/8/0010/13/00

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