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 …

Compressed sensing and deep learning reconstruction for women's pelvic MRI denoising: utility for improving image quality and examination time in routine clinical …

T Ueda, Y Ohno, K Yamamoto, A Iwase… - European journal of …, 2021 - Elsevier
Purpose To demonstrate the utility of compressed sensing with parallel imaging
(Compressed SPEEDER) and AiCE compared with that of conventional parallel imaging …

Comparison of utility of deep learning reconstruction on 3D MRCPs obtained with three different k-space data acquisitions in patients with IPMN

T Matsuyama, Y Ohno, K Yamamoto, M Ikedo, M Yui… - European …, 2022 - Springer
Objective To compare the utility of deep learning reconstruction (DLR) for improving
acquisition time, image quality, and intraductal papillary mucinous neoplasm (IPMN) …

Phase2Phase: respiratory motion-resolved reconstruction of free-breathing magnetic resonance imaging using deep learning without a ground truth for improved liver …

C Eldeniz, W Gan, S Chen, TJ Fraum… - Investigative …, 2021 - journals.lww.com
Objectives Respiratory binning of free-breathing magnetic resonance imaging data reduces
motion blurring; however, it exacerbates noise and introduces severe artifacts due to …

Image quality improvement of dynamic contrast-enhanced gradient echo magnetic resonance imaging by iterative denoising and edge enhancement

S Gassenmaier, J Herrmann, D Nickel… - Investigative …, 2021 - journals.lww.com
Objectives The aim of this study was to investigate the impact of a novel edge enhancement
and iterative denoising algorithm in 1.5-T T1-weighted dynamic contrast-enhanced (DCE) …

Pancreatic ductal adenocarcinoma (PDAC) regional nodal disease at standard lymphadenectomy: is MRI accurate for identifying node-positive patients?

S Adham, M Ferri, SY Lee, N Larocque, OA Alwahbi… - European …, 2023 - Springer
Objective To determine the accuracy of qualitative and quantitative MRI features for the
diagnosis of pathologic regional lymph nodes at standard lymphadenectomy in patients with …

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 …

Compressed sensing and parallel imaging accelerated T2 FSE sequence for head and neck MR imaging: comparison of its utility in routine clinical practice

H Ikeda, Y Ohno, K Murayama, K Yamamoto… - European journal of …, 2021 - Elsevier
Purpose To directly compare the capability of compressed sensing (CS) and parallel
imaging (PI) accelerated T2 FSE (Fast Spin Echo) sequence with PI for head and neck MR …

Ultrafast intracranial vessel imaging with non-Cartesian spiral 3-dimensional time-of-flight magnetic resonance angiography at 1.5 T: an in vitro and clinical study in …

T Sartoretti, L van Smoorenburg, E Sartoretti… - Investigative …, 2020 - journals.lww.com
Objectives Non-Cartesian spiral magnetic resonance (MR) acquisition may enable higher
scan speeds, as the spiral traverses the k-space more efficiently per given time than in …

Modeling dynamic radial contrast enhanced MRI with linear time invariant systems for motion correction in quantitative assessment of kidney function

J Coll-Font, O Afacan, JS Chow, RS Lee… - Medical image …, 2021 - Elsevier
Early identification of kidney function deterioration is essential to determine which newborn
patients with congenital kidney disease should be considered for surgical intervention as …