Protocol for magnetic resonance imaging acquisition, quality assurance, and quality check for the Accelerator program for Discovery in Brain disorders using Stem cells
Autor: | Pravesh Parekh, Gaurav V. Bhalerao, Rashmi Rao, Vanteemar S. Sreeraj, Bharath Holla, Jitender Saini, Ganesan Venkatasubramanian, John P. John, Sanjeev Jain, ADBS Consortium |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: | |
Zdroj: | International Journal of Methods in Psychiatric Research, Vol 30, Iss 3, Pp n/a-n/a (2021) |
Druh dokumentu: | article |
ISSN: | 1557-0657 1049-8931 |
DOI: | 10.1002/mpr.1871 |
Popis: | Abstract Objective The Accelerator program for Discovery in Brain disorders using Stem cells (ADBS) is a longitudinal study on five cohorts of patients with major psychiatric disorders from genetically high‐risk families, their unaffected first‐degree relatives, and healthy subjects. We describe the ADBS protocols for acquisition, quality assurance (QA), and quality check (QC) for multimodal magnetic resonance brain imaging studies. Methods We describe the acquisition and QC protocols for structural, functional, and diffusion images. For QA, we acquire proton density and functional images on phantoms, along with repeated scans on human volunteer. We describe the analysis of phantom data and test–retest reliability of volumetric and diffusion measures. Results Analysis of acquired phantom data shows linearity of proton density signal with increasing proton fraction, and an overall stability of various spatial and temporal QA measures. Examination of dice coefficient and statistical analyses of coefficient of variation in test–retest data on the human volunteer showed consistency of volumetric and diffusivity measures at whole‐brain, regional, and voxel‐level. Conclusion The described acquisition and QA–QC procedures can yield consistent and reliable quantitative measures. It is expected that this longitudinal neuroimaging dataset will, upon its release, serve the scientific community well and pave the way for interesting discoveries. |
Databáze: | Directory of Open Access Journals |
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