[HTML][HTML] Prospective Deployment of Deep Learning Reconstruction Facilitates Highly Accelerated Upper Abdominal MRI

JM Brendel, J Jacoby, R Dehdab, S Ursprung, V Fritz… - Academic …, 2024 - Elsevier
Rationale and Objectives To compare a conventional T1 volumetric interpolated breath-hold
examination (VIBE) with SPectral Attenuated Inversion Recovery (SPAIR) fat saturation and …

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 …

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 …

Comprehensive clinical evaluation of a deep learning-accelerated, single-breath-hold abdominal HASTE at 1.5 T and 3 T

J Herrmann, D Wessling, D Nickel, S Arberet… - Academic radiology, 2023 - Elsevier
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 …

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 …

Application of a novel iterative denoising and image enhancement technique in T1-weighted precontrast and postcontrast gradient echo imaging of the abdomen …

S Gassenmaier, S Afat, D Nickel… - Investigative …, 2021 - journals.lww.com
Objectives The aim of this study was to investigate the impact of a novel iterative denoising
and image enhancement technique in T1-weighted precontrast and postcontrast volume …

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 …

Analysis of a deep learning-based superresolution algorithm tailored to partial fourier gradient echo sequences of the abdomen at 1.5 T: reduction of breath-hold time …

S Afat, D Wessling, C Afat, D Nickel… - Investigative …, 2022 - journals.lww.com
Objectives The aim of this study was to investigate the feasibility and impact of a novel deep
learning superresolution algorithm tailored to partial Fourier allowing retrospectively …

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 …

Free-breathing dynamic contrast-enhanced imaging of the upper abdomen using a Cartesian compressed-sensing sequence with hard-gated and motion-state …

D Hausmann, T Niemann, D Kreul, A Nocito… - Investigative …, 2019 - journals.lww.com
Objectives The aim of this study was to compare a compressed-sensing free-breathing VIBE
(fbVIBE) with a conventional breath-hold VIBE (bhVIBE) for dynamic contrast-enhanced …