Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.
Skip to main content

The NiftyPET software, thanks to the high-throughput processing using dedicated parallel computing devices, enables processing of bigger datasets for large clinical trials.  It facilitates fast reconstruction of dynamic four-dimensional images and thus allows more robust and faster research on disease modelling as well as novel imaging methods dedicated to dementia. The paper relates to a software package that can used in the reconstruction brain images acquired from MR-PET scanners. The software is an open-source Python package and is currently being extended to support all the MR-PET scanners deployed in the UK within the Dementias Platform UK network (DPUK) for harmonised image reconstruction and analysis in multi-centre clinical trials.

Original publication

DOI

10.1007/s12021-017-9352-y

Type

Journal article

Publication Date

01/2018

Volume

16

Pages

95 - 115

Addresses

https://link.springer.com/article/10.1007/s12021-017-9352-y