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Live-wire-based segmentation using similarities between corresponding image structures.

Standard

Live-wire-based segmentation using similarities between corresponding image structures. / Färber, Matthias; Ehrhardt, Jan; Handels, Heinz.

In: COMPUT MED IMAG GRAP, Vol. 31, No. 7, 7, 2007, p. 549-560.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Färber, M, Ehrhardt, J & Handels, H 2007, 'Live-wire-based segmentation using similarities between corresponding image structures.', COMPUT MED IMAG GRAP, vol. 31, no. 7, 7, pp. 549-560. <http://www.ncbi.nlm.nih.gov/pubmed/17689052?dopt=Citation>

APA

Färber, M., Ehrhardt, J., & Handels, H. (2007). Live-wire-based segmentation using similarities between corresponding image structures. COMPUT MED IMAG GRAP, 31(7), 549-560. [7]. http://www.ncbi.nlm.nih.gov/pubmed/17689052?dopt=Citation

Vancouver

Färber M, Ehrhardt J, Handels H. Live-wire-based segmentation using similarities between corresponding image structures. COMPUT MED IMAG GRAP. 2007;31(7):549-560. 7.

Bibtex

@article{0d2f5d506c154ed3afc0d59cd5410bc9,
title = "Live-wire-based segmentation using similarities between corresponding image structures.",
abstract = "A live-wire-based segmentation method that exploits similarities of corresponding object contours is presented. The method accelerates the segmentation process transferring anchor points of segmented reference contours to unsegmented target slices automatically. The target contours are created using the live-wire algorithm trained by features of the reference contours. An automatic contour correction improves the segmentation. Only few user interactions with an intuitive contour editor are necessary. The evaluation using intra- and interpatient transfer shows that 51-73% of interaction time can be saved compared to normal live-wire preserving the segmentation quality.",
author = "Matthias F{\"a}rber and Jan Ehrhardt and Heinz Handels",
year = "2007",
language = "Deutsch",
volume = "31",
pages = "549--560",
journal = "COMPUT MED IMAG GRAP",
issn = "0895-6111",
publisher = "Elsevier Limited",
number = "7",

}

RIS

TY - JOUR

T1 - Live-wire-based segmentation using similarities between corresponding image structures.

AU - Färber, Matthias

AU - Ehrhardt, Jan

AU - Handels, Heinz

PY - 2007

Y1 - 2007

N2 - A live-wire-based segmentation method that exploits similarities of corresponding object contours is presented. The method accelerates the segmentation process transferring anchor points of segmented reference contours to unsegmented target slices automatically. The target contours are created using the live-wire algorithm trained by features of the reference contours. An automatic contour correction improves the segmentation. Only few user interactions with an intuitive contour editor are necessary. The evaluation using intra- and interpatient transfer shows that 51-73% of interaction time can be saved compared to normal live-wire preserving the segmentation quality.

AB - A live-wire-based segmentation method that exploits similarities of corresponding object contours is presented. The method accelerates the segmentation process transferring anchor points of segmented reference contours to unsegmented target slices automatically. The target contours are created using the live-wire algorithm trained by features of the reference contours. An automatic contour correction improves the segmentation. Only few user interactions with an intuitive contour editor are necessary. The evaluation using intra- and interpatient transfer shows that 51-73% of interaction time can be saved compared to normal live-wire preserving the segmentation quality.

M3 - SCORING: Zeitschriftenaufsatz

VL - 31

SP - 549

EP - 560

JO - COMPUT MED IMAG GRAP

JF - COMPUT MED IMAG GRAP

SN - 0895-6111

IS - 7

M1 - 7

ER -