Conference item
A unified approach for respiratory motion prediction and correlation with multi-task Gaussian Processes
- Abstract:
-
In extracranial robotic radiotherapy, tumour motion due to respiration is compensated based external markers. Two models are typically used to enable a real-time adaptation. A prediction model, which compensates time latencies of the treatment systems due to e.g. kinematic limitations, and a correlation model, which estimates the internal tumour position based on external markers. We present a novel approach based on multi-task Gaussian Processes (MTGP) which enables an efficient combination ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Funding
Balliol College
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Royal Academy of Engineering
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Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Host title:
- IEEE International Workshop on Machine Learning for Signal Processing, MLSP
- Publication date:
- 2014-09-24
- DOI:
- EISSN:
-
2161-0371
- ISSN:
-
2161-0363
- ISBN:
- 9781479936946
Item Description
- Keywords:
- Pubs id:
-
pubs:492449
- UUID:
-
uuid:54c7e07c-2251-4346-8061-6da78aaac689
- Local pid:
- pubs:492449
- Source identifiers:
-
492449
- Deposit date:
- 2016-03-08
Terms of use
- Copyright date:
- 2014
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