Journal Article

DZNE-2020-04366

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Highest Resolution In Vivo Human Brain MRI Using Prospective Motion Correction.

Stucht, D. (Corresponding author) ; Danishad, K. A. ; Schulze, P.DZNE* ; Godenschweger, F. ; Zaitsev, M. ; Speck, O. (Last author)DZNE*

2015
PLOS San Francisco, California, US

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Please use a persistent id in citations: doi:10.1371/journal.pone.0133921

Abstract: High field MRI systems, such as 7 Tesla (T) scanners, can deliver higher signal to noise ratio (SNR) than lower field scanners and thus allow for the acquisition of data with higher spatial resolution, which is often demanded by users in the fields of clinical and neuroscientific imaging. However, high resolution scans may require long acquisition times, which in turn increase the discomfort for the subject and the risk of subject motion. Even with a cooperative and trained subject, involuntary motion due to heartbeat, swallowing, respiration and changes in muscle tone can cause image artifacts that reduce the effective resolution. In addition, scanning with higher resolution leads to increased sensitivity to even very small movements. Prospective motion correction (PMC) at 3T and 7T has proven to increase image quality in case of subject motion. Although the application of prospective motion correction is becoming more popular, previous articles focused on proof of concept studies and technical descriptions, whereas this paper briefly describes the technical aspects of the optical tracking system, marker fixation and cross calibration and focuses on the application of PMC to very high resolution imaging without intentional motion. In this study we acquired in vivo MR images at 7T using prospective motion correction during long acquisitions. As a result, we present images among the highest, if not the highest resolution of in vivo human brain MRI ever acquired.

Keyword(s): Artifacts (MeSH) ; Brain: physiology (MeSH) ; Calibration (MeSH) ; Equipment Design: methods (MeSH) ; Humans (MeSH) ; Image Processing, Computer-Assisted: methods (MeSH) ; Magnetic Resonance Imaging: methods (MeSH) ; Motion (MeSH) ; Movement: physiology (MeSH) ; Prospective Studies (MeSH) ; Respiration (MeSH)

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Contributing Institute(s):

1. Core MR PET (Core MR PET)
2. Clinical Neurophysiology and Memory (AG Düzel)

Research Program(s):

1. 344 - Clinical and Health Care Research (POF3-344) (POF3-344)

Appears in the scientific report 2015

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Database coverage:
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