Journal:Design, implementation and operation of a multimodality research imaging informatics repository

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Full article title Design, implementation and operation of a multimodality research imaging informatics repository
Journal Health Information Science and Systems
Author(s) Nguyen, Toan D.; Raniga, Parnesh; Barnes, David G.; Egan, Gary F.
Author affiliation(s) Monash University, CSIRO
Primary contact Email: toan.nguyen@monash.edu
Year published 2015
Volume and issue 3 (Suppl 1)
Page(s) S6
DOI 10.1186/2047-2501-3-S1-S6
ISSN 2047-2501
Distribution license Creative Commons Attribution 4.0 International
Website http://www.hissjournal.com/content/3/S1/S6
Download http://www.hissjournal.com/content/pdf/2047-2501-3-S1-S6.pdf (PDF)
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Abstract

Background: Biomedical imaging research increasingly involves acquiring, managing and processing large amounts of distributed imaging data. Integrated systems that combine data, meta-data and workflows are crucial for realising the opportunities presented by advances in imaging facilities.

Methods: This paper describes the design, implementation and operation of a multi-modality research imaging data management system that manages imaging data obtained from biomedical imaging scanners operated at Monash Biomedical Imaging (MBI), Monash University in Melbourne, Australia. In addition to Digital Imaging and Communications in Medicine (DICOM) images, raw data and non-DICOM biomedical data can be archived and distributed by the system. Imaging data are annotated with meta-data according to a study-centric data model and, therefore, scientific users can find, download and process data easily.

Results: The research imaging data management system ensures long-term usability, integrity inter-operability and integration of large imaging data. Research users can securely browse and download stored images and data, and upload processed data via subject-oriented informatics frameworks including the Distributed and Reflective Informatics System (DaRIS), and the Extensible Neuroimaging Archive Toolkit (XNAT).

Background

Modern clinical and biomedical research is increasingly reliant on imaging across a range of electromagnetic and acoustic wavelengths.[1][2][3] Contemporary studies now routinely collect images from more than one type of instrumentation - multi-modal studies[4] - and strive to obtain high spatial and/or temporal resolution data. Multi-modal datasets provide complementary information[5] and enable sophisticated, multivariate analysis, while high-resolution datasets provide insight that was not possible only a few years ago. Extremely large multi-modal imaging studies can result in terabyte (TB) size data collections[6], although most research studies generate data in the megabyte (MB) to gigabyte (GB) range per subject.

The data volume per subject is multiplied by the increasing number of subjects per study. Many of today's high profile biomedical imaging studies have hundreds to thousands of participants.[7][8][9] Furthermore, many of these studies are longitudinal in nature and thus collect imaging data at multiple time points per subject. This multiplier effect results in a large collection of data that must be recorded per subject. Along with the imaging data, non-imaging and meta-data may also collected and should be stored and directly associated with the image data, especially if the data will be mined and/or shared.[10]

References

  1. ↑ Lauterbur, P.C. (1973). "Image Formation by Induced Local Interactions: Examples Employing Nuclear Magnetic Resonance". Nature 242 (5394): 190-1. doi:10.1038/242190a0. 
  2. ↑ Wang, X.; Pang, Y.; Ku, G.; Xie, X.; Stoica, G.; Wang, L.V. (2003). "Noninvasive laser-induced photoacoustic tomography for structural and functional in vivo imaging of the brain". Nature Biotechnology 21 (7): 803-6. doi:10.1038/nbt839. PMID 12808463. 
  3. ↑ Ledley, R.S.; Di Chiro, G.; Luessenhop, A.J.; Twigg, H.L. (1974). "Computerized transaxial x-ray tomography of the human body". Science 186 (4160): 207-12. doi:10.1126/science.186.4160.207. PMID 4606376. 
  4. ↑ Pichler, B.J.; Kolb, A.; Nägele, T.; Schlemmer, H.-P. (2010). "PET/MRI: Paving the Way for the Next Generation of Clinical Multimodality Imaging Applications". Journal of Nuclear Medicine 51 (3): 333-6. doi:10.2967/jnumed.109.061853. PMID 20150252. 
  5. ↑ Cherry, S.R. (2009). "Multimodality Imaging: Beyond PET/CT and SPECT/CT". Seminars in Nuclear Medicine 39 (5): 348-53. doi:10.1053/j.semnuclmed.2009.03.001. PMC PMC2735449. PMID 19646559. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2735449. 
  6. ↑ Amunts, K.; Lepage, C.; Borgeat, L. et al. (2013). "BigBrain: An Ultrahigh-Resolution 3D Human Brain Model". Science 340 (6139): 1472-5. doi:10.1126/science.1235381. PMID 23788795. 
  7. ↑ Ellis, K.A.; Bush, A.I.; Darby, D. et al. (2009). "The Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer's disease". International Psychogeriatrics 21 (4): 672-87. doi:10.1017/S1041610209009405. PMID 19470201. 
  8. ↑ Mueller, S.G.; Weiner, M.W.; Thal, L.J. et al. (2005). "Ways toward an early diagnosis in Alzheimer's disease: the Alzheimer's Disease Neuroimaging Initiative (ADNI)". Alzheimer's & Dementia 1 (1): 55–66. doi:10.1016/j.jalz.2005.06.003. PMC PMC1864941. PMID 17476317. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1864941. 
  9. ↑ Hofman, A.; Breteler, M.M.B.; van Duijn, C.M. et al. (2009). "The Rotterdam Study: 2010 objectives and design update". European Journal of Epidemiology 24 (9): 553-72. doi:10.1007/s10654-009-9386-z. PMC PMC2744826. PMID 19728115. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2744826. 
  10. ↑ Linkert, M.; Rueden, C.T.; Allan, C. et al. (2010). "Metadata matters: access to image data in the real world". Journal of Cell Biology 189 (5): 777-82. doi:10.1083/jcb.201004104. PMC PMC2878938. PMID 20513764. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2878938. 

Notes

This presentation is faithful to the original, with only a few minor changes to presentation. In some cases important information was missing from the references, and that information was added. In one case a direct reference to a citation number was changed to reference the author names instead.

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