Mass preserving image registration: results of Evaluation of Methods for Pulmonary Image Registration 2010 Challenge

Vladlena Gorbunova; Jon Sporring; Pechin Chien Pau Lo; Asger Dirksen; Marleen de Bruijne

Mass preserving image registration: results of Evaluation of Methods for Pulmonary Image Registration 2010 Challenge

Vladlena Gorbunova, Jon Sporring, Pechin Chien Pau Lo, Asger Dirksen, Marleen de Bruijne

Abstract

The paper presents results the mass preserving image registration method in the Evaluation of Methods for Pulmonary Image Registration 2010 (EMPIRE10) Challenge. The mass preserving image registration algorithm was applied to the 20 image pairs. Registration was evaluated using four different scores: lung boundary alignment, major fissure lignment, landmark alignment and transform singularity scores. The registration algorithm achieved an average landmark alignment score of 2.20 } 2.05 mm and the median of 1.29 mm. In 19 out of 20 image pairs, the method produced invertible deformations. Overall, the masspreserving image registration method was ranked 20th out of 34 participants

Originalsprog	Engelsk
Titel	Medical image analysis for the clinic: a grand challenge : workshop proceedings from the 13th International Conference on Medical Image Computing And Computer Assisted Intervention
Redaktører	Bram van Ginneken, Keelin Murphy, Tobias Heimann, Vladimir Pekar, Xiang Deng
Antal sider	10
Forlag	CreateSpace Independent Publishing Platform
Publikationsdato	2010
Sider	155-164
ISBN (Trykt)	978-1453759394
Status	Udgivet - 2010
Begivenhed	MICCAI 2010 Workshop on Medical Image Analysis for the Clinic: a grand challenge - Beijing, Kina Varighed: 24 sep. 2010 → 24 sep. 2010

Konference

Konference	MICCAI 2010 Workshop on Medical Image Analysis for the Clinic
Land/Område	Kina
By	Beijing
Periode	24/09/2010 → 24/09/2010

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Gorbunova_2010_Mass_preserving_imageAccepteret manuskript, 151 KB

http://empire10.isi.uu.nl/pdf/article_diku.pdf

Citationsformater

Gorbunova, V., Sporring, J., Lo, P. C. P., Dirksen, A., & de Bruijne, M. (2010). Mass preserving image registration: results of Evaluation of Methods for Pulmonary Image Registration 2010 Challenge. I B. van Ginneken, K. Murphy, T. Heimann, V. Pekar, & X. Deng (red.), Medical image analysis for the clinic: a grand challenge: workshop proceedings from the 13th International Conference on Medical Image Computing And Computer Assisted Intervention (s. 155-164). CreateSpace Independent Publishing Platform . http://empire10.isi.uu.nl/pdf/article_diku.pdf

Mass preserving image registration : results of Evaluation of Methods for Pulmonary Image Registration 2010 Challenge. / Gorbunova, Vladlena; Sporring, Jon; Lo, Pechin Chien Pau et al.

Medical image analysis for the clinic: a grand challenge: workshop proceedings from the 13th International Conference on Medical Image Computing And Computer Assisted Intervention. red. / Bram van Ginneken; Keelin Murphy; Tobias Heimann; Vladimir Pekar; Xiang Deng. CreateSpace Independent Publishing Platform , 2010. s. 155-164.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

Gorbunova, V, Sporring, J, Lo, PCP, Dirksen, A & de Bruijne, M 2010, Mass preserving image registration: results of Evaluation of Methods for Pulmonary Image Registration 2010 Challenge. i B van Ginneken, K Murphy, T Heimann, V Pekar & X Deng (red), Medical image analysis for the clinic: a grand challenge: workshop proceedings from the 13th International Conference on Medical Image Computing And Computer Assisted Intervention. CreateSpace Independent Publishing Platform , s. 155-164, MICCAI 2010 Workshop on Medical Image Analysis for the Clinic, Beijing, Kina, 24/09/2010. <http://empire10.isi.uu.nl/pdf/article_diku.pdf>

Gorbunova V, Sporring J, Lo PCP, Dirksen A, de Bruijne M. Mass preserving image registration: results of Evaluation of Methods for Pulmonary Image Registration 2010 Challenge. I van Ginneken B, Murphy K, Heimann T, Pekar V, Deng X, red., Medical image analysis for the clinic: a grand challenge: workshop proceedings from the 13th International Conference on Medical Image Computing And Computer Assisted Intervention. CreateSpace Independent Publishing Platform . 2010. s. 155-164

Gorbunova, Vladlena ; Sporring, Jon ; Lo, Pechin Chien Pau et al. / Mass preserving image registration : results of Evaluation of Methods for Pulmonary Image Registration 2010 Challenge. Medical image analysis for the clinic: a grand challenge: workshop proceedings from the 13th International Conference on Medical Image Computing And Computer Assisted Intervention. red. / Bram van Ginneken ; Keelin Murphy ; Tobias Heimann ; Vladimir Pekar ; Xiang Deng. CreateSpace Independent Publishing Platform , 2010. s. 155-164

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abstract = "The paper presents results the mass preserving image registration method in the Evaluation of Methods for Pulmonary Image Registration 2010 (EMPIRE10) Challenge. The mass preserving image registration algorithm was applied to the 20 image pairs. Registration was evaluated using four different scores: lung boundary alignment, major fissure lignment, landmark alignment and transform singularity scores. The registration algorithm achieved an average landmark alignment score of 2.20 } 2.05 mm and the median of 1.29 mm. In 19 out of 20 image pairs, the method produced invertible deformations. Overall, the masspreserving image registration method was ranked 20th out of 34 participants ",

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AU - Dirksen, Asger

AU - de Bruijne, Marleen

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N2 - The paper presents results the mass preserving image registration method in the Evaluation of Methods for Pulmonary Image Registration 2010 (EMPIRE10) Challenge. The mass preserving image registration algorithm was applied to the 20 image pairs. Registration was evaluated using four different scores: lung boundary alignment, major fissure lignment, landmark alignment and transform singularity scores. The registration algorithm achieved an average landmark alignment score of 2.20 } 2.05 mm and the median of 1.29 mm. In 19 out of 20 image pairs, the method produced invertible deformations. Overall, the masspreserving image registration method was ranked 20th out of 34 participants

AB - The paper presents results the mass preserving image registration method in the Evaluation of Methods for Pulmonary Image Registration 2010 (EMPIRE10) Challenge. The mass preserving image registration algorithm was applied to the 20 image pairs. Registration was evaluated using four different scores: lung boundary alignment, major fissure lignment, landmark alignment and transform singularity scores. The registration algorithm achieved an average landmark alignment score of 2.20 } 2.05 mm and the median of 1.29 mm. In 19 out of 20 image pairs, the method produced invertible deformations. Overall, the masspreserving image registration method was ranked 20th out of 34 participants

M3 - Article in proceedings

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BT - Medical image analysis for the clinic: a grand challenge

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A2 - Murphy, Keelin

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Y2 - 24 September 2010 through 24 September 2010

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Mass preserving image registration: results of Evaluation of Methods for Pulmonary Image Registration 2010 Challenge

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