Lossy compression should also be used in functional MRI research |
|
Author: | Rajna, Zalán1,2; Nyrönen, Pekka1; Kiviniemi, Vesa2; |
Organizations: |
1Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland 2Oulu Functional Neuroimaging Group, Oulu University Hospital, Oulu, Finland |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 1.5 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2020120399194 |
Language: | English |
Published: |
Springer Nature,
2020
|
Publish Date: | 2020-12-03 |
Description: |
AbstractThe amount of functional MRI (fMRI) data processed in research is growing, yet no practice or protocol to store them in a lossy format exists. Many researchers are struggling with limited storage space, and speed of common processing tools are often bound by storage speed. In this work, we present a lossy compression framework for fMRI data with user adjustable trade-off between compression ratio and root mean squared error (RMSE). Our goal is to demonstrate the usability of on-the-fly lossy compression for fMRI data. On one hand, the storage footprint and processing speeds both benefit from higher data compression rates achieved with lossy compression. On the other hand, data quality for functional analysis remains effectively the same. With this short demonstration we encourage the research community to develop a lossy data standard for fMRI data. see all
|
Series: |
IFMBE proceedings |
ISSN: | 1680-0737 |
ISSN-E: | 1433-9277 |
ISSN-L: | 1680-0737 |
ISBN: | 978-3-030-64610-3 |
ISBN Print: | 978-3-030-64609-7 |
Pages: | 774 - 783 |
DOI: | 10.1007/978-3-030-64610-3_87 |
OADOI: | https://oadoi.org/10.1007/978-3-030-64610-3_87 |
Host publication: |
8th European Medical and Biological Engineering Conference : Proceedings of the EMBEC 2020, November 29 – December 3, 2020 Portorož, Slovenia |
Host publication editor: |
Jarm, Tomaz Cvetkoska, Aleksandra Mahnič-Kalamiza, Samo Miklavcic, Damijan |
Conference: |
European Medical and Biological Engineering Conference |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
217 Medical engineering |
Subjects: | |
Copyright information: |
© Springer Nature Switzerland AG 2021. This is a post-peer-review, pre-copyedit version of an article published in 8th European Medical and Biological Engineering Conference : Proceedings of the EMBEC 2020, November 29 – December 3, 2020 Portorož, Slovenia. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-64610-3_87. |