Contribution to a book DZNE-2023-01146

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High-resolution structural brain imaging

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2022
Elsevier

Motion Correction in MR - Correction of Position, Motion, and Dynamic Field Changes / Mattern, Hendrik ; : Elsevier, 2022, ; ISSN: 26669099 ; ISBN: 9780128244609 ; doi:10.1016/B978-0-12-824460-9.00014-5 Elsevier, Advances in Magnetic Resonance Technology and Applications 6, 433 - 448 () [10.1016/B978-0-12-824460-9.00014-5]

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Abstract: At high spatial resolution, unintentional motion due to breathing or slow head drifts is of the same order as the voxel size. Further, higher resolution is prolonging scan sessions, rendering subject motion more likely. Thus, even in compliant subjects, unintentional and physiological motion can induce motion artifacts. Motion compensation or correction is required to prevent inevitable image blurring due to unintentional head motion and to effectively achieve the nominal high resolution desired. This chapter discusses the requirements for and challenges of high-resolution motion correction. Representative state-of-the-art methods and examples of high (< 700 μm) and ultra-high (< 500 μm) resolution MRI of the brain are given, categorized by the tracking modality. The studies shown represent some of the highest resolution human brain in vivo scans acquired to date. Open challenges such as limited SNR and nonrigidity are discussed to highlight further challenges that need to be overcome to narrow the gap toward microscopy.


Note: Missing Journal: = 2666-9099 (import from CrossRef Book Series, Journals: pub.dzne.de)

Contributing Institute(s):
  1. Linking imaging projects iNET (AG Speck)
  2. Pathophysiology of Dementia (AG Reymann)
Research Program(s):
  1. 353 - Clinical and Health Care Research (POF4-353) (POF4-353)

Appears in the scientific report 2022
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Document types > Books > Contribution to a book
Institute Collections > MD DZNE > MD DZNE-AG Reymann
Institute Collections > MD DZNE > MD DZNE-AG Speck
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 Record created 2023-12-18, last modified 2024-03-18



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