Toward uniform implementation of parametric map Digital Imaging and Communication in Medicine standard in multisite quantitative diffusion imaging studies Journal Article
| Authors: | Malyarenko, D.; Fedorov, A.; Bell, L.; Prah, M.; Hectors, S.; Arlinghaus, L.; Muzi, M.; Solaiyappan, M.; Jacobs, M.; Fung, M.; Shukla-Dave, A.; McManus, K.; Boss, M.; Taouli, B.; Yankeelov, T. E.; Quarles, C. C.; Schmainda, K.; Chenevert, T. L.; Newitt, D. C. |
| Article Title: | Toward uniform implementation of parametric map Digital Imaging and Communication in Medicine standard in multisite quantitative diffusion imaging studies |
| Abstract: | This paper reports on results of a multisite collaborative project launched by the MRI subgroup of Quantitative Imaging Network to assess current capability and provide future guidelines for generating a standard parametric diffusion map Digital Imaging and Communication in Medicine (DICOM) in clinical trials that utilize quantitative diffusion-weighted imaging (DWI). Participating sites used a multivendor DWI DICOM dataset of a single phantom to generate parametric maps (PMs) of the apparent diffusion coefficient (ADC) based on two models. The results were evaluated for numerical consistency among models and true phantom ADC values, as well as for consistency of metadata with attributes required by the DICOM standards. This analysis identified missing metadata descriptive of the sources for detected numerical discrepancies among ADC models. Instead of the DICOM PM object, all sites stored ADC maps as DICOM MR objects, generally lacking designated attributes and coded terms for quantitative DWI modeling. Source-image reference, model parameters, ADC units and scale, deemed important for numerical consistency, were either missing or stored using nonstandard conventions. Guided by the identified limitations, the DICOM PM standard has been amended to include coded terms for the relevant diffusion models. Open-source software has been developed to support conversion of site-specific formats into the standard representation. © The Authors. |
| Keywords: | clinical article; diffusion; standard; algorithm; diffusion weighted imaging; digital imaging and communications in medicine; quantitative study; radiological parameters; apparent diffusion coefficient; human; article; multisite trials; parametric map digital imaging andcommunication in medicine; quantitative diffusion-weighted imaging; parametric map |
| Journal Title: | Journal of Medical Imaging |
| Volume: | 5 |
| Issue: | 1 |
| ISSN: | 2329-4302 |
| Publisher: | SPIE |
| Date Published: | 2018-01-01 |
| Start Page: | 011006 |
| Language: | English |
| DOI: | 10.1117/1.jmi.5.1.011006 |
| PROVIDER: | scopus |
| PMCID: | PMC5658654 |
| PUBMED: | 29134189 |
| DOI/URL: | |
| Notes: | Article -- Export Date: 4 December 2017 -- Source: Scopus |
Altmetric
Citation Impact
BMJ Impact Analytics
Related MSK Work