Oliver Speck

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Articles (10)

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Purpose Severe geometric distortions induced by tissue susceptibility, water–fat chemical shift, and eddy currents pose a substantial obstacle in single‐shot EPI, especially for high‐resolution imaging at ultrahigh field. View angle tilting (VAT)‐EPI can mitigate in‐plane distortion. However, the accompanied strong image blurring prevented its widespread applications. On the other hand, point‐spread function mapping (PSF)‐EPI can correct distortion and blurring accurately but requires prolonged scan time. We present fused VAT‐PSF‐EPI and possibilities for acceleration. Methods MR signal equations were explicitly derived to quantify image blurring in VAT‐EPI and the maximum acceleration capacity in VAT‐PSF‐EPI. To validate the theoretical prediction, phantom measurements with varying in‐plane parallel imaging factors, slice thicknesses, and RF pulses were conducted at 7 Tesla. In addition, in vivo human brain scans were acquired with T 2 and diffusion weighting to assess distortion and blurring correction. Results VAT can effectively suppress distortion, and the introduced image blurring is corrected through PSF encoding. Up to fourfold acceleration (only 5 shots) in VAT‐PSF‐EPI was achieved compared with standard PSF‐EPI without VAT. VAT‐induced signal loss was mitigated by adjusting the sequence parameters and EPI resolution. In vivo T 2 ‐weighted EPI data with 1.4 mm 3 resolution demonstrate immunity to water–fat chemical shift‐induced distortion. Very high‐spatial resolution diffusion‐weighted EPI (0.7 × 0.7 × 2.8 mm 3 and 1.2 mm 3 ) demonstrates the immunity to eddy current‐induced distortion. Conclusion VAT‐PSF‐EPI is a novel spin‐echo EPI‐based sequence for fast high‐resolution diffusion imaging at ultrahigh field.

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Collaborators (9)

Stefanie Schreiber

Otto-von-Guericke Universität Magdeburg

GERMANY
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Daniel Behme

-

GERMANY
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Sahani Pathiraja

Lecturer in Data Science

University of New South Wales

AUSTRALIA
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Layla Riemann

Group Head

University Medical Center Hamburg-Eppendorf

GERMANY
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Gábor Janiga

Otto-von-Guericke Universität Magdeburg

GERMANY
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Martin Walter

Professor

Eberhard Karls Universität Tübingen

GERMANY
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Ralf Mekle

Charité - Universitätsmedizin Berlin

GERMANY
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Lejla Colic

Jena University Hospital

GERMANY
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Gregory Metzger

Professor

University of Minnesota

UNITED STATES
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