Comprehensive clinical evaluation of a deep learning-accelerated, single-breath-hold abdominal HASTE at 1.5 T and 3 T
To evaluate the clinical performance of a deep learning-accelerated single-breath-hold half-
Fourier acquisition single-shot turbo spin echo (HASTE DL)-sequence for T2-weighted fat …
Fourier acquisition single-shot turbo spin echo (HASTE DL)-sequence for T2-weighted fat …
Development and evaluation of deep learning-accelerated single-breath-hold abdominal HASTE at 3 T using variable refocusing flip angles
J Herrmann, D Nickel, JP Mugler III… - Investigative …, 2021 - journals.lww.com
Objective Deep learning (DL) reconstruction enables substantial acceleration of image
acquisition while maintaining diagnostic image quality. The aims of this study were to …
acquisition while maintaining diagnostic image quality. The aims of this study were to …
Diagnostic confidence and feasibility of a deep learning accelerated HASTE sequence of the abdomen in a single breath-hold
J Herrmann, S Gassenmaier, D Nickel… - Investigative …, 2021 - journals.lww.com
Objective The aim of this study was to evaluate the feasibility of a single breath-hold fast half-
Fourier single-shot turbo spin echo (HASTE) sequence using a deep learning reconstruction …
Fourier single-shot turbo spin echo (HASTE) sequence using a deep learning reconstruction …
Usefulness of Breath-Hold Fat-Suppressed T2-Weighted Images With Deep Learning–Based Reconstruction of the Liver: Comparison to Conventional Free-Breathing …
F Ichinohe, K Oyama, A Yamada… - Investigative …, 2023 - journals.lww.com
Objectives The aim of this study was to evaluate the usefulness of breath-hold turbo spin
echo with deep learning–based reconstruction (BH-DL-TSE) in acquiring fat-suppressed T2 …
echo with deep learning–based reconstruction (BH-DL-TSE) in acquiring fat-suppressed T2 …
Accelerated T2-weighted MRI of the liver at 3 T using a single-shot technique with deep learning-based image reconstruction: impact on the image quality and lesion …
LA Ginocchio, PN Smereka, A Tong, V Prabhu… - Abdominal …, 2023 - Springer
Purpose Fat-suppressed T2-weighted imaging (T2-FS) requires a long scan time and can be
wrought with motion artifacts, urging the development of a shorter and more motion robust …
wrought with motion artifacts, urging the development of a shorter and more motion robust …
Deep learning HASTE sequence compared with T2-weighted BLADE sequence for liver MRI at 3 Tesla: A qualitative and quantitative prospective study
Objectives To qualitatively and quantitatively compare a single breath-hold fast half-Fourier
single-shot turbo spin echo sequence with deep learning reconstruction (DL HASTE) with T2 …
single-shot turbo spin echo sequence with deep learning reconstruction (DL HASTE) with T2 …
Accelerated single-shot T2-weighted fat-suppressed (FS) MRI of the liver with deep learning–based image reconstruction: qualitative and quantitative comparison of …
K Shanbhogue, A Tong, P Smereka, D Nickel… - European …, 2021 - Springer
Objective To compare the image quality of an accelerated single-shot T2-weighted fat-
suppressed (FS) MRI of the liver with deep learning–based image reconstruction (DL …
suppressed (FS) MRI of the liver with deep learning–based image reconstruction (DL …
Fast T2-weighted liver MRI: Image quality and solid focal lesions conspicuity using a deep learning accelerated single breath-hold HASTE fat-suppressed sequence
S Mulé, R Kharrat, P Zerbib, A Massire… - Diagnostic and …, 2022 - Elsevier
Purpose Acceleration of MRI acquisitions and especially of T2-weighted sequences is
essential to reduce the duration of MRI examinations but also kinetic artifacts in liver …
essential to reduce the duration of MRI examinations but also kinetic artifacts in liver …
Combined deep learning-based super-resolution and partial fourier reconstruction for gradient echo sequences in abdominal MRI at 3 Tesla: shortening breath-hold …
H Almansour, J Herrmann, S Gassenmaier, A Lingg… - Academic radiology, 2023 - Elsevier
Rationale and Objectives To investigate the impact of a prototypical deep learning–based
super-resolution reconstruction algorithm tailored to partial Fourier acquisitions on …
super-resolution reconstruction algorithm tailored to partial Fourier acquisitions on …
Image Quality and Diagnostic Performance of Accelerated 2D Hip MRI with Deep Learning Reconstruction Based on a Deep Iterative Hierarchical Network
J Herrmann, S Afat, S Gassenmaier, G Koerzdoerfer… - Diagnostics, 2023 - mdpi.com
Objectives: Hip MRI using standard multiplanar sequences requires long scan times.
Accelerating MRI is accompanied by reduced image quality. This study aimed to compare …
Accelerating MRI is accompanied by reduced image quality. This study aimed to compare …
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