Label fusion using performance estimation with iterative label selection

T. R. Langerak, U.A.V.D. Heide, I.M. Lips, A.N.T.J. Kotte, M. van Vulpen, J.P.W. Pluim

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

4 Citaten (Scopus)

Samenvatting

Atlas-based segmentation is a well-known method of automatically computing a segmentation. When multiple atlases are available, then each atlas can be used to compute a 'label', which is an estimation of the ground truth segmentation of a target image. By combining these labels, a more accurate approximation of the ground truth segmentation can be made. A common method tocombine labels is the STAPLE algorithm, but this method fails when the performance of the labels highly varies. Other methods select labels based on their estimated performance, but combine them using a simple majority vote procedure. In this paper, a simpler variant of the STAPLE algorithm is presented that iteratively selects labels. Results are given that show that the proposed method outperforms STAPLE in an application to segmentation of the prostate.

Originele taal-2Engels
TitelProceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's1186-1189
Aantal pagina's4
ISBN van geprinte versie978-1-4244-3931-7
DOI's
StatusGepubliceerd - 2009
Extern gepubliceerdJa
Evenement6th IEEE International Symposium on Biomedical Imaging (ISBI 2009) - Boston, Verenigde Staten van Amerika
Duur: 28 jun 20091 jul 2009
Congresnummer: 6
http://www.biomedicalimaging.org/archive/2009/

Congres

Congres6th IEEE International Symposium on Biomedical Imaging (ISBI 2009)
Verkorte titelISBI 2009
LandVerenigde Staten van Amerika
StadBoston
Periode28/06/091/07/09
Internet adres

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