Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge
- PMID: 21632295
- DOI: 10.1109/TMI.2011.2158349
Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge
Abstract
EMPIRE10 (Evaluation of Methods for Pulmonary Image REgistration 2010) is a public platform for fair and meaningful comparison of registration algorithms which are applied to a database of intrapatient thoracic CT image pairs. Evaluation of nonrigid registration techniques is a nontrivial task. This is compounded by the fact that researchers typically test only on their own data, which varies widely. For this reason, reliable assessment and comparison of different registration algorithms has been virtually impossible in the past. In this work we present the results of the launch phase of EMPIRE10, which comprised the comprehensive evaluation and comparison of 20 individual algorithms from leading academic and industrial research groups. All algorithms are applied to the same set of 30 thoracic CT pairs. Algorithm settings and parameters are chosen by researchers expert in the configuration of their own method and the evaluation is independent, using the same criteria for all participants. All results are published on the EMPIRE10 website (http://empire10.isi.uu.nl). The challenge remains ongoing and open to new participants. Full results from 24 algorithms have been published at the time of writing. This paper details the organization of the challenge, the data and evaluation methods and the outcome of the initial launch with 20 algorithms. The gain in knowledge and future work are discussed.
Similar articles
-
The Role of Computed Tomography in the Diagnosis and Treatment of Emphysema.Radiol Technol. 2016 Jan-Feb;87(3):340-3. Radiol Technol. 2016. PMID: 26721847 Review. No abstract available.
-
Lung registration with improved fissure alignment by integration of pulmonary lobe segmentation.Med Image Comput Comput Assist Interv. 2012;15(Pt 2):74-81. doi: 10.1007/978-3-642-33418-4_10. Med Image Comput Comput Assist Interv. 2012. PMID: 23286034
-
Automated segmentation of a motion mask to preserve sliding motion in deformable registration of thoracic CT.Med Phys. 2012 Feb;39(2):1006-15. doi: 10.1118/1.3679009. Med Phys. 2012. PMID: 22320810
-
A Demons algorithm for image registration with locally adaptive regularization.Med Image Comput Comput Assist Interv. 2009;12(Pt 1):574-81. doi: 10.1007/978-3-642-04268-3_71. Med Image Comput Comput Assist Interv. 2009. PMID: 20426034
-
Standardized evaluation methodology for 2-D-3-D registration.IEEE Trans Med Imaging. 2005 Sep;24(9):1177-89. doi: 10.1109/TMI.2005.853240. IEEE Trans Med Imaging. 2005. PMID: 16156355
Cited by
-
Topography-based feature extraction of the human placenta from prenatal MR images.Proc SPIE Int Soc Opt Eng. 2023 Feb;12464:1246420. doi: 10.1117/12.2653663. Epub 2023 Apr 3. Proc SPIE Int Soc Opt Eng. 2023. PMID: 38501056 Free PMC article.
-
Unsupervised deep learning registration model for multimodal brain images.J Appl Clin Med Phys. 2023 Nov;24(11):e14177. doi: 10.1002/acm2.14177. Epub 2023 Oct 12. J Appl Clin Med Phys. 2023. PMID: 37823748 Free PMC article.
-
Automatic 3D Postoperative Evaluation of Complex Orthopaedic Interventions.J Imaging. 2023 Aug 31;9(9):180. doi: 10.3390/jimaging9090180. J Imaging. 2023. PMID: 37754944 Free PMC article.
-
Collision-constrained deformable image registration framework for discontinuity management.PLoS One. 2023 Aug 18;18(8):e0290243. doi: 10.1371/journal.pone.0290243. eCollection 2023. PLoS One. 2023. PMID: 37594943 Free PMC article.
-
DAART: a deep learning platform for deeply accelerated adaptive radiation therapy for lung cancer.Front Oncol. 2023 Jul 6;13:1201679. doi: 10.3389/fonc.2023.1201679. eCollection 2023. Front Oncol. 2023. PMID: 37483512 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Miscellaneous
