TY - JOUR
T1 - Toward uniform implementation of parametric map digital imaging and communication in medicine standard in multisite quantitative diffusion imaging studies
AU - Malyarenko, Dariya
AU - Fedorov, Andriy
AU - Bell, Laura
AU - Prah, Melissa
AU - Hectors, Stefanie
AU - Arlinghaus, Lori
AU - Muzi, Mark
AU - Solaiyappan, Meiyappan
AU - Jacobs, Michael
AU - Fung, Maggie
AU - Shukla-Dave, Amita
AU - McManus, Kevin
AU - Boss, Michael
AU - Taouli, Bachir
AU - Yankeelov, Thomas E.
AU - Quarles, Christopher Chad
AU - Schmainda, Kathleen
AU - Chenevert, Thomas L.
AU - Newitt, David C.
N1 - Publisher Copyright:
© The Authors.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Apparent diffusion coefficient
KW - Multisite trials
KW - Parametric map Digital Imaging andCommunication in Medicine
KW - Quantitative diffusion-weighted imaging
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U2 - 10.1117/1.JMI.5.1.011006
DO - 10.1117/1.JMI.5.1.011006
M3 - Article
C2 - 29134189
AN - SCOPUS:85033437268
SN - 2329-4302
VL - 5
JO - Journal of Medical Imaging
JF - Journal of Medical Imaging
IS - 1
M1 - 011006
ER -