as soon as is submitted to ZB.
Complex motion modelling in cancer imaging.
In: (Bildverarbeitung für die Medizin 2015). Switzerland: 2015. 1-2 (Inf. aktuell)
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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Publication type
Article: Conference contribution
Language
english
Publication Year
2015
HGF-reported in Year
2015
ISSN (print) / ISBN
1431-472X
e-ISSN
1431-472X
Conference Title
Bildverarbeitung für die Medizin 2015
Journal
Informatik aktuell
Quellenangaben
Pages: 1-2
Publishing Place
Switzerland
Institute(s)
Institute for Machine Learning in Biomed Imaging (IML)
POF-Topic(s)
30205 - Bioengineering and Digital Health
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-507100-001
Scopus ID
85012233064
Erfassungsdatum
2022-09-06