Guillaume Molodij et al 2020 Phys. Med. Biol. 65, 075007
Time-space Fourier κω' filter for motion artifacts compensation during transcranial fluorescence brain imaging
|Author:||Molodij, Guillaume1; Sdobnov, Anton2; Kuznetsov, Yuri1;|
1Department of Veterinary Resources, Weizmann Institute of Science, Rehovot 76100, Israel
2Optoelectronics and Measurement Techniques Laboratory, University of Oulu, Oulu 90570, Finland
3Interdisciplinary Laboratory of Biophotonics, National Research Tomsk State University, Tomsk 634050, Russia
4Institute of Engineering Physics for Biomedicine, National Research Nuclear University (MEPhI), Moscow 115409, Russia
5School of Engineering and Applied Science, Aston University, Birmingham B4 7ET, United Kingdom
6School of Life and Health Sciences, Aston University, Birmingham B4 7ET, United Kingdom
|Online Access:||PDF Full Text (PDF, 77.5 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020051838055
|Publish Date:|| 2020-05-18
Intravital imaging of brain vasculature through the intact cranium in vivo is based on the evolution of the fluorescence intensity and provides an ability to characterize various physiological processes in the natural context of cellular resolution. The involuntary motions of the examined subjects often limit in vivo non-invasive functional optical imaging. Conventional imaging diagnostic modalities encounter serious difficulties in correction of artificial motions, associated with fast high dynamics of the intensity values in the collected image sequences, when a common reference cannot be provided. In the current report, we introduce an alternative solution based on a time-space Fourier transform method so-called K-Omega. We demonstrate that the proposed approach is effective for image stabilization of fast dynamic image sequences and can be used autonomously without supervision and assignation of a reference image.
Physics in medicine & biology
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
1182 Biochemistry, cell and molecular biology
The authors would like to thank The Henry Chanoch Krenter Institute for Biomedical imaging and Genomics for the main support of this work (Dr. V Kalchenko, 'Weizmann Staff Scientists Program'), and support provided by COST CA16118—European Network on Brain Malformations. This work has been also supported by the European Union's Horizon 2020 research and innovation programme under grant agreement No 863214. Professor Meglinski also acknowledge partial support from Academy of Finland (project 326204), MEPhI Academic Excellence Project (Contract No. 02.a03.21.0005) and the National Research Tomsk State University Academic D.I. Mendeleev Fund Program. Anton Sdobnov acknowledges the Finnish Cultural Foundation (00180998) grant.
|EU Grant Number:||
(863214) NEUROPA - Non-invasive dynamic neural control by laser-based technology
|Academy of Finland Grant Number:||
326204 (Academy of Finland Funding decision)
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