Complex motion modelling in cancer imaging
Schnabel J (2015)
Publication Type: Conference contribution
Publication year: 2015
Journal
Publisher: Kluwer Academic Publishers
Pages Range: 1-2
Conference Proceedings Title: Informatik aktuell
Event location: Lubeck, DEU
ISBN: 9783662462232
DOI: 10.1007/978-3-662-46224-9_1
Abstract
In this talk I will present our recent research efforts and advances in the field of motion modelling of complex organs in oncological applications, as part of the Cancer Research UK / EPSRC Cancer Imaging Centre at Oxford. I will focus on a number of novel non-linear image registration methodologies developed for motion compensation in single- and multi-modality lung imaging, which is a particularly challenging application due to the physiological complexity of the respiration process, such as the interaction between rigid structures, interfacing organs, and large deformations involved. We are currently working on two major challenges in this field: 1. Correcting for the sliding motion of the lungs, by modelling locally discontinuous deformations, and 2. Formulating computational tractable solutions for image alignment between different types of imaging modalities.
Involved external institutions
United Kingdom (GB)How to cite
APA:
Schnabel, J. (2015). Complex motion modelling in cancer imaging. In Thomas Martin Deserno, Thomas Tolxdorff, Heinz Handels, Hans-Peter Meinzer (Eds.), Informatik aktuell (pp. 1-2). Lubeck, DEU: Kluwer Academic Publishers.
MLA:
Schnabel, Julia. "Complex motion modelling in cancer imaging." Proceedings of the Workshops on Image Processing for Medicine,2015:Algorthim-Systems-Applications, Lubeck, DEU Ed. Thomas Martin Deserno, Thomas Tolxdorff, Heinz Handels, Hans-Peter Meinzer, Kluwer Academic Publishers, 2015. 1-2.
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