Data Curation for Preclinical and Clinical Multimodal Imaging Studies.
Purpose: In biomedical research, imaging modalities help discover pathological mechanisms to develop and evaluate novel diagnostic and theranostic approaches. However, while standards for data storage in the clinical medical imaging field exist, data curation standards for biomedical research are ye...
| Publicado en: | Molecular Imaging & Biology Vol. 21; no. 6; pp. 1034 - 1044 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Dec2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=139744987&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 139744987 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15361632 KJU jtl: Molecular Imaging & Biology issn: 15361632 maglogo: N pubinfo: dt: Dec2019 vid: 21 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 139744987 139744987 144166192 NLM30868426 139744987 10.1007/s11307-019-01339-0 NLM30868426 139744987 ppf: 1034 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Data Curation for Preclinical and Clinical Multimodal Imaging Studies. aug: au: Yamoah, Grace Gyamfuah Cao, Liji Wu, Chao Wu Beekman, Freek J. Vandeghinste, Bert Mannheim, Julia G. Rosenhain, Stefanie Leonardic, Kevin Kiessling, Fabian Gremse, Felix affil: Institute for Experimental Molecular Imaging, Helmholtz Institute for Biomedical Engineering, RWTH Aachen University Clinic, Forckenbeckstraße 55, 52074, Aachen, Germany sug: subj: Data Curation Diagnostic Imaging Algorithms Image Processing, Computer Assisted Animal Studies Validation Studies Comparative Studies Evaluation Research Multicenter Studies Family Inventory of Life Events and Changes Scales Funding Source ab: Purpose: In biomedical research, imaging modalities help discover pathological mechanisms to develop and evaluate novel diagnostic and theranostic approaches. However, while standards for data storage in the clinical medical imaging field exist, data curation standards for biomedical research are yet to be established. This work aimed at developing a free secure file format for multimodal imaging studies, supporting common in vivo imaging modalities up to five dimensions as a step towards establishing data curation standards for biomedical research.Procedures: Images are compressed using lossless compression algorithm. Cryptographic hashes are computed on the compressed image slices. The hashes and compressions are computed in parallel, speeding up computations depending on the number of available cores. Then, the hashed images with digitally signed timestamps are cryptographically written to file. Fields in the structure, compressed slices, hashes, and timestamps are serialized for writing and reading from files. The C++ implementation is tested on multimodal data from six imaging sites, well-documented, and integrated into a preclinical image analysis software.Results: The format has been tested with several imaging modalities including fluorescence molecular tomography/x-ray computed tomography (CT), positron emission tomography (PET)/CT, single-photon emission computed tomography/CT, and PET/magnetic resonance imaging. To assess performance, we measured the compression rate, ratio, and time spent in compression. Additionally, the time and rate of writing and reading on a network drive were measured. Our findings demonstrate that we achieve close to 50 % reduction in storage space for μCT data. The parallelization speeds up the hash computations by a factor of 4. We achieve a compression rate of 137 MB/s for file of size 354 MB.Conclusions: The development of this file format is a step to abstract and curate common processes involved in preclinical and clinical multimodal imaging studies in a standardized way. This work also defines better interface between multimodal imaging modalities and analysis software. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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