Registration of vascular structures is crucial for preoperative planning, intraoperative navigation, and follow-up assessment. Typical applications include, but are not limited to, Trans-catheter Aortic Valve Implantation and monitoring of tumor vasculature or aneurysm growth. In order to achieve the aforementioned goals, a large number of various registration algorithms has been developed. With this review paper we provide a comprehensive overview over the plethora of existing techniques with a particular focus on the suitable classification criteria such as the involved modalities of the employed optimization methods. However, we wish to go beyond a static literature review which is naturally doomed to be outdated after a certain period of time due to the research progress. We augment this review paper with an extendable and interactive database in order to obtain a living review whose currency goes beyond the one of a printed paper. All papers in this database are labeled with one or multiple tags according to 13 carefully defined categories. The classification of all entries can then be visualized as one or multiple trees which are presented via a web-based interactive app (http://livingreview.in.tum.de) allowing the user to choose a unique perspective for literature review. In addition, the user can search the underlying database for specific tags or publications related to vessel registration. Many applications of this framework are conceivable, including the use for getting a general overview on the topic or the utilization by physicians for deciding about the best-suited algorithm for a specific application.
Living review, Medical image registration, Vascular registration techniques, Vascular models
Citation: Stefan Matl, Richard Brosig, Maximilian Baust, Nassir Navab, Stefanie Demirci Vascular Image Registration Techniques: A Living Review DOI: http://dx.doi.org/10.1016/j.media.2016.05.005
Published online: May 25, 2016, Accepted: May 13, 2016, Received in revised form: May 6, 2016, Received: May 28, 2015
Copyright: © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
This paper contributes to a better differentiation of vessel registration techniques by analyzing relevant literature in a flexible way. An intuitive user interface for displaying the data is provided, allowing the user to find a query-specific visualization. As mentioned in the beginning, depending on the user’s personal preferences, a particular discrimination of the data can be rather intuitive or not. Our visualization does not require a certain differentiation and users can create their individual trees according to their specific needs.
Last but not least, we cordially invite other researchers to contribute to the proposed database fostering future research in the field of vascular registration techniques. This invitation is accompanied by the hope that the living review paradigm serves as a role model for other living reviews and thus spreads to other fields of research.