English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Increased sensitivity and signal-to-noise ratio in diffusion-weighted MRI using multi-echo acquisitions

Eichner, C., Paquette, M., Mildner, T., Schlumm, T., Pléh, K., Samuni, L., et al. (2020). Increased sensitivity and signal-to-noise ratio in diffusion-weighted MRI using multi-echo acquisitions. NeuroImage, 221: 117172. doi:10.1016/j.neuroimage.2020.117172.

Item is

Basic

show hide
Genre: Journal Article

Files

show Files
hide Files
:
Eichner_2020.pdf (Publisher version), 2MB
Name:
Eichner_2020.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-

Locators

show

Creators

show
hide
 Creators:
Eichner, Cornelius1, Author              
Paquette, Michael1, Author              
Mildner, Toralf2, Author              
Schlumm, Torsten2, Author              
Pléh, Kamilla3, 4, Author
Samuni, Liran4, 5, Author
Crockford, Catherine4, 6, Author
Wittig, Roman M. 4, 6, Author
Jäger, Carsten7, 8, Author              
Möller, Harald E.2, Author              
Friederici, Angela D.1, Author              
Anwander, Alfred1, Author              
Affiliations:
1Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
2Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634558              
3Research Group Epidemiology of Highly Pathogenic Microorganisms, Robert Koch Institute, Berlin, Germany, ou_persistent22              
4Taï Chimpanzee Project, Centre Suisse de Recherches Scientifiques (CSRS), Abidjan, Ivory Coast, ou_persistent22              
5Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA, ou_persistent22              
6Max Planck Institute for Evolutionary Anthropology, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany, ou_persistent22              
7Paul Flechsig Institute for Brain Research, University of Leipzig, Germany, ou_persistent22              
8Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              

Content

show
hide
Free keywords: MRI; Diffusion; dMRI; Multi-Echo; Segmented EPI; Post-Mortem; Relaxometry; Noise; SNR; Chimpanzee
 Abstract: Post-mortem diffusion MRI (dMRI) enables acquisitions of structural imaging data with otherwise unreachable resolutions - at the expense of longer scanning times. These data are typically acquired using highly segmented image acquisition strategies, thereby resulting in an incomplete signal decay before the MRI encoding continues. Especially in dMRI, with low signal intensities and lengthy contrast encoding, such temporal inefficiency translates into reduced image quality and longer scanning times. This study introduces Multi Echo (ME) acquisitions to dMRI on a human MRI system - a time-efficient approach, which increases SNR (Signal-to-Noise Ratio) and reduces noise bias for dMRI images. The benefit of the introduced ME-dMRI method was validated using numerical Monte Carlo simulations and showcased on a post-mortem brain of a wild chimpanzee. The proposed Maximum Likelihood Estimation echo combination results in an optimal SNR without detectable signal bias. The combined strategy comes at a small price in scanning time (here 30% additional) and leads to a substantial SNR increase (here white matter: ∼ 1.6x, equivalent to 2.6 averages, grey matter: ∼ 1.9x, equivalent to 3.6 averages) and a general reduction of the noise bias.

Details

show
hide
Language(s): eng - English
 Dates: 2020-07-102020-03-062020-07-132020-07-162020-11-01
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2020.117172
PMID: 32682095
Other: online ahead of print
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: NeuroImage
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 221 Sequence Number: 117172 Start / End Page: - Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166