Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers.
Julien Cohen-AdadEva Alonso-OrtizMihael AbramovicCarina ArneitzNicole T AtchesonLaura BarlowRobert L BarryMarkus BarthMarco BattistonChristian BüchelMatthew BuddeVirginie CallotAnna J E CombesBenjamin De LeenerMaxime DescoteauxPaulo Loureiro de SousaMarek DostálJulien DoyonAdam Vladimir DvorakFalk EippertKarla R EppersonKevin S EppersonPatrick FreundJürgen FinsterbuschAlexandru FoiasMichela FratiniIssei FukunagaClaudia A M Gandini Wheeler-KingshottGiancarlo GermaniGuillaume GilbertFederico GioveCharley GrosFrancesco GrussuAkifumi HagiwaraPierre-Gilles HenryTomáš HorákMasaaki HoriJames M JoersKouhei KamiyaHaleh KarbasforoushanMiloš KeřkovskýAli KhatibiJoo-Won KimNawal KinanyHagen H KitzlerShannon KolindYazhuo KongPetr KudličkaPaul KuntkeNyoman D KurniawanSlawomir KusmiaRené LabounekMaria Marcella LaganáCornelia LauleChristine S W LawChristophe LengletTobias LeutritzYaou LiuSara LlufriuSean MackeyEloy Martinez-HerasLoan MatteraIgor NestrašilKristin P O'GradyNico PapinuttoDaniel PappDeborah ParetoTodd B ParrishAnna PichiecchioFerran Prados CarrascoÀlex RoviraMarc J RuitenbergRebecca S SamsonGiovanni SaviniMaryam SeifAlan C SeifertAlex K SmithSeth A SmithZachary A SmithElisabeth SolanaY SuzukiGeorge W TackleyAlexandra TinnermannJan ValošekD Van De VilleMarios C YiannakasKenneth A WebberNikolaus WeiskopfRichard G WisePatrik O WyssJunqian XuPublished in: Scientific data (2021)
In a companion paper by Cohen-Adad et al. we introduce the spine generic quantitative MRI protocol that provides valuable metrics for assessing spinal cord macrostructural and microstructural integrity. This protocol was used to acquire a single subject dataset across 19 centers and a multi-subject dataset across 42 centers (for a total of 260 participants), spanning the three main MRI manufacturers: GE, Philips and Siemens. Both datasets are publicly available via git-annex. Data were analysed using the Spinal Cord Toolbox to produce normative values as well as inter/intra-site and inter/intra-manufacturer statistics. Reproducibility for the spine generic protocol was high across sites and manufacturers, with an average inter-site coefficient of variation of less than 5% for all the metrics. Full documentation and results can be found at https://spine-generic.rtfd.io/ . The datasets and analysis pipeline will help pave the way towards accessible and reproducible quantitative MRI in the spinal cord.
Keyphrases
- spinal cord
- contrast enhanced
- diffusion weighted imaging
- magnetic resonance imaging
- spinal cord injury
- neuropathic pain
- electronic health record
- randomized controlled trial
- high resolution
- computed tomography
- magnetic resonance
- big data
- multiple sclerosis
- white matter
- machine learning
- mass spectrometry
- advance care planning
- single cell
- deep learning