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The extensible open-source rigid and affine image registration module of the Medical Imaging Interaction Toolkit (MITK).
Comput Methods Programs Biomed. 2010 Oct; 100(1):79-86.CM

Abstract

Although non-rigid registration methods are available or under development for many specific problems in medicine, rigid and affine registration is an important task that is often performed for pre-aligning images before using non-rigid registration. In this paper, we present a free and open-source application for rigid and affine image registration, which is designed both for developers and for end-users. The application is based on the Medical Imaging Interaction Toolkit (MITK) and allows for inter-modality and intra-modality rigid 2D-2D and 3D-3D registration of medical images such as CT, MRI, or ultrasound. The framework as well as the application can be easily extended by adding new transforms, metrics and optimizers. Thus, developers of new algorithms are enabled to test and use their algorithms more quickly, spending less work on user interfaces. Additionally, the framework provides the possibility to use image masks to restrict the evaluation of metric values by the optimizer on certain areas of the images.

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Authors+Show Affiliations

Stein D
German Cancer Research Center, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany. d.stein@dkfz.de
Fritzsche KH
No affiliation info available
Nolden M
No affiliation info available
Meinzer HP
No affiliation info available
Wolf I
No affiliation info available

MeSH

ComputersDiagnostic ImagingImage EnhancementImage Interpretation, Computer-AssistedPattern Recognition, AutomatedSoftwareUser-Computer Interface

Pub Type(s)

Journal Article

Language

eng

PubMed ID

20409608

Citation

Stein, D, et al. "The Extensible Open-source Rigid and Affine Image Registration Module of the Medical Imaging Interaction Toolkit (MITK)." Computer Methods and Programs in Biomedicine, vol. 100, no. 1, 2010, pp. 79-86.
Stein D, Fritzsche KH, Nolden M, et al. The extensible open-source rigid and affine image registration module of the Medical Imaging Interaction Toolkit (MITK). Comput Methods Programs Biomed. 2010;100(1):79-86.
Stein, D., Fritzsche, K. H., Nolden, M., Meinzer, H. P., & Wolf, I. (2010). The extensible open-source rigid and affine image registration module of the Medical Imaging Interaction Toolkit (MITK). Computer Methods and Programs in Biomedicine, 100(1), 79-86. https://doi.org/10.1016/j.cmpb.2010.02.008
Stein D, et al. The Extensible Open-source Rigid and Affine Image Registration Module of the Medical Imaging Interaction Toolkit (MITK). Comput Methods Programs Biomed. 2010;100(1):79-86. PubMed PMID: 20409608.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - The extensible open-source rigid and affine image registration module of the Medical Imaging Interaction Toolkit (MITK). AU - Stein,D, AU - Fritzsche,K H, AU - Nolden,M, AU - Meinzer,H P, AU - Wolf,I, Y1 - 2010/04/20/ PY - 2009/12/15/received PY - 2010/02/19/revised PY - 2010/02/25/accepted PY - 2010/4/23/entrez PY - 2010/4/23/pubmed PY - 2011/1/11/medline SP - 79 EP - 86 JF - Computer methods and programs in biomedicine JO - Comput Methods Programs Biomed VL - 100 IS - 1 N2 - Although non-rigid registration methods are available or under development for many specific problems in medicine, rigid and affine registration is an important task that is often performed for pre-aligning images before using non-rigid registration. In this paper, we present a free and open-source application for rigid and affine image registration, which is designed both for developers and for end-users. The application is based on the Medical Imaging Interaction Toolkit (MITK) and allows for inter-modality and intra-modality rigid 2D-2D and 3D-3D registration of medical images such as CT, MRI, or ultrasound. The framework as well as the application can be easily extended by adding new transforms, metrics and optimizers. Thus, developers of new algorithms are enabled to test and use their algorithms more quickly, spending less work on user interfaces. Additionally, the framework provides the possibility to use image masks to restrict the evaluation of metric values by the optimizer on certain areas of the images. SN - 1872-7565 UR - https://www.unboundmedicine.com/medline/citation/20409608/The_extensible_open_source_rigid_and_affine_image_registration_module_of_the_Medical_Imaging_Interaction_Toolkit__MITK__ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0169-2607(10)00039-8 DB - PRIME DP - Unbound Medicine ER -