Projects
Projects using MITK
Media:Projects$ablation1.jpg|Das|ist eine Ablation|align="right",width=250
Background: Minimally invasive procedures for cancer diagnosis and therapy are increasingly replacing open procedures in the clinical routine because of their protective character. Therapeutic thermal procedures such as laser-induced thermotherapy (LITT), radiofrequency ablation (RFA) and cryotherapy are, for example, increasingly being used in the minimally invasive treatment of hepatic tumors. The common underlying principle of these procedures is tissue destruction by means of local temperature changes. The success of the intervention crucially depends on the precision of the instrument insertion and thus the experience of the physician. After computer-assisted navigation on rigid structures has become an established practice in the clinical routine, the use of computer support in soft tissues has become limited to non-invasive diagnostics and operation planning. This especially can be attributed to the absent compensation of intra-interventional organ movement. The objective of this project is to develop, implement and evaluate new concepts for computer-assisted biopsies in soft tissues.
The extensible open-source rigid and affine image registration module of the Medical Imaging Interaction Toolkit (MITK)
Publication: Comput Methods Programs Biomed, 2010 Oct;100(1):79-86. Authors: Stein D, Fritzsche KH, Nolden M, Meinzer HP, Wolf I Institution: German Cancer Research Institute
Background: 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.