Advances in diffusion MRI acquisition and processing in the Human Connectome Project

التفاصيل البيبلوغرافية
العنوان: Advances in diffusion MRI acquisition and processing in the Human Connectome Project
المؤلفون: Sotiropoulos, Sn1, Jbabdi, S, Xu, J, Andersson, Jl, Moeller, S, Auerbach, Ej, Glasser, Mf, Hernandez, M, Sapiro, G, Jenkinson, M, Feinberg, Da, Yacoub, E, Lenglet, C, Van Essen DC, Ugurbil, K, Behrens, Te, DE PASQUALE, Francesco, WU Minn HCP Consortium
سنة النشر: 2016
مصطلحات موضوعية: Models, Anatomic, Computer science, Cognitive Neuroscience, Models, Neurological, Population, Article, Imaging modalities, Models, medicine, Connectome, Humans, education, Simulation, education.field_of_study, Human Connectome Project, Anatomic, Brain, Diffusion Tensor Imaging, Nerve Net, Neurology, Human brain, Data science, medicine.anatomical_structure, Neurological, Diffusion MRI
الوصف: The Human Connectome Project (HCP) is a collaborative 5-year effort to map human brain connections and their variability in healthy adults. A consortium of HCP investigators will study a population of 1200 healthy adults using multiple imaging modalities, along with extensive behavioral and genetic data. In this overview, we focus on diffusion MRI (dMRI) and the structural connectivity aspect of the project. We present recent advances in acquisition and processing that allow us to obtain very high-quality in-vivo MRI data, whilst enabling scanning of a very large number of subjects. These advances result from 2. years of intensive efforts in optimising many aspects of data acquisition and processing during the piloting phase of the project. The data quality and methods described here are representative of the datasets and processing pipelines that will be made freely available to the community at quarterly intervals, beginning in 2013. © 2013 Elsevier Inc.
وصف الملف: PDF
اللغة: English
تدمد: 1053-8119
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83bf52865d54d2c5e9ca639efea047ceTest
https://ora.ox.ac.uk/objects/uuid:4274b18d-1957-4770-b570-3e8ae404c2c7Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....83bf52865d54d2c5e9ca639efea047ce
قاعدة البيانات: OpenAIRE