Esmraldi: efficient methods for the fusion of mass spectrometry and magnetic resonance images

BMC Bioinformatics

David Legland¹  Hélène Rogniaux¹  Mathieu Fanuel¹  Bastien Arnaud¹  Loïc Foucat¹  Florent Grélard¹ 

[1] UR BIA, INRAE, 44316, Nantes, France;BIBS Facility, INRAE, 44316, Nantes, France;

关键词: Image fusion;    Image processing;    Image registration;    Spectra processing;    Mass spectrometry imaging;    Magnetic resonance imaging;   

DOI  :  10.1186/s12859-020-03954-z

来源: Springer

【 摘 要 】

BackgroundMass spectrometry imaging (MSI) is a family of acquisition techniques producing images of the distribution of molecules in a sample, without any prior tagging of the molecules. This makes it a very interesting technique for exploratory research. However, the images are difficult to analyze because the enclosed data has high dimensionality, and their content does not necessarily reflect the shape of the object of interest. Conversely, magnetic resonance imaging (MRI) scans reflect the anatomy of the tissue. MRI also provides complementary information to MSI, such as the content and distribution of water.ResultsWe propose a new workflow to merge the information from 2D MALDI–MSI and MRI images. Our workflow can be applied to large MSI datasets in a limited amount of time. Moreover, the workflow is fully automated and based on deterministic methods which ensures the reproducibility of the results. Our methods were evaluated and compared with state-of-the-art methods. Results show that the images are combined precisely and in a time-efficient manner.ConclusionOur workflow reveals molecules which co-localize with water in biological images. It can be applied on any MSI and MRI datasets which satisfy a few conditions: same regions of the shape enclosed in the images and similar intensity distributions.

【 授权许可】

CC BY