MRI data quality assessment for the RIN - Neuroimaging Network using the ACR phantoms.

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Generating big-data is becoming imperative with the advent of machine learning. RIN-Neuroimaging Network addresses this need by developing harmonized protocols for multisite studies to identify quantitative MRI (qMRI) biomarkers for neurological diseases. In this context, image quality control (QC) is essential. Here, we present methods and results of how the RIN performs intra- and inter-site reproducibility of geometrical and image contrast parameters, demonstrating the relevance of such QC practice.

Related collections

Author and article information

Journal

Journal ID (iso-abbrev): Phys Med

Title: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)

Publisher: Elsevier BV

ISSN (Electronic): 1724-191X

ISSN (Print): 1120-1797

Publication date (Electronic): Dec 2022

Volume: 104

Affiliations

[1 ] Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; Brain Connectivity Center, IRCCS Mondino Foundation, Pavia, Italy.

[2 ] U.O. Neuroradiologia, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy. Electronic address: anna.nigri@istituto-besta.it.

[3 ] U.O. Neuroradiologia, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

[4 ] Laboratory of Neuroinformatics, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.

[5 ] Medical Physics and MR Lab, Fondazione IRCCS Stella Maris, Pisa, Italy.

[6 ] IRCCS Istituti Clinici Scientifici Maugeri, Pavia, Italy.

[7 ] U.O. Neuroradiologia, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; School of Life Science and Technology, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.

[8 ] Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.

[9 ] IRCCS Istituto Ospedale Pediatrico Bambino Gesù, Rome, Italy.

[10 ] IRCCS Fondazione Don Carlo Gnocchi Onlus, Milan, Italy.

[11 ] Direzione Scientifica, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

[12 ] Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; Brain Connectivity Center, IRCCS Mondino Foundation, Pavia, Italy; NMR Research Unit, Department of Neuroinflammation, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, Gower Street, WC1E 6BT London, England, UK.

Article

Publisher Item ID: S1120-1797(22)02069-5

DOI: 10.1016/j.ejmp.2022.10.008

PubMed ID: 36379160

SO-VID: 847e4a45-014a-4953-ac48-a22f0f629642

History

Keywords: Multisite,ACR,Quality control

Data availability:

Keywords: Multisite, ACR, Quality control

Comments

Comment on this article

scite_

Cited by 2

See all cited by