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
Original language | English |
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Title of host publication | Medical image analysis for the clinic: a grand challenge : workshop proceedings from the 13th International Conference on Medical Image Computing And Computer Assisted Intervention |
Editors | Bram van Ginneken, Keelin Murphy, Tobias Heimann, Vladimir Pekar, Xiang Deng |
Number of pages | 10 |
Publisher | CreateSpace Independent Publishing Platform |
Publication date | 2010 |
Pages | 155-164 |
ISBN (Print) | 978-1453759394 |
Publication status | Published - 2010 |
Event | MICCAI 2010 Workshop on Medical Image Analysis for the Clinic: a grand challenge - Beijing, China Duration: 24 Sept 2010 → 24 Sept 2010 |
Conference
Conference | MICCAI 2010 Workshop on Medical Image Analysis for the Clinic |
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Country/Territory | China |
City | Beijing |
Period | 24/09/2010 → 24/09/2010 |