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Schnabel, J.A.*

Complex motion modelling in cancer imaging.

In: (Bildverarbeitung für die Medizin 2015). Switzerland: 2015. 1-2 (Inf. aktuell)
DOI
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.
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Publikationstyp Artikel: Konferenzbeitrag
Korrespondenzautor
ISSN (print) / ISBN 1431-472X
e-ISSN 1431-472X
Konferenztitel Bildverarbeitung für die Medizin 2015
Zeitschrift Informatik aktuell
Quellenangaben Band: , Heft: , Seiten: 1-2 Artikelnummer: , Supplement: ,
Verlagsort Switzerland
Nichtpatentliteratur Publikationen
Institut(e) Institute for Machine Learning in Biomed Imaging (IML)