University of Oulu

Rajna Z., Nyrönen P., Kiviniemi V., Seppänen T. (2021) Lossy Compression Should Also Be Used in Functional MRI Research. In: Jarm T., Cvetkoska A., Mahnič-Kalamiza S., Miklavcic D. (eds) 8th European Medical and Biological Engineering Conference. EMBEC 2020. IFMBE Proceedings, vol 80. Springer, Cham.

Lossy compression should also be used in functional MRI research

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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)
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Language: English
Published: Springer Nature, 2020
Publish Date: 2020-12-03


The 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.

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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
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
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: