Reducing energy consumption in musculoskeletal MRI using shorter scan protocols, optimized magnet cooling patterns, and deep learning sequences

S Afat, J Wohlers, J Herrmann, AS Brendlin… - European …, 2024 - Springer
Objectives The unprecedented surge in energy costs in Europe, coupled with the significant
energy consumption of MRI scanners in radiology departments, necessitates exploring …

[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 …

Speeding Up and Improving Image Quality in Glioblastoma MRI Protocol by Deep Learning Image Reconstruction

G Gohla, TK Hauser, P Bombach, D Feucht, A Estler… - Cancers, 2024 - mdpi.com
Simple Summary Interest in applying artificial intelligence to medical imaging to enhance
image quality has grown in both clinical practice and research. Nonetheless, these artificial …

[HTML][HTML] Improved Image Quality Through Deep Learning Acceleration of Gradient-Echo Acquisitions in Uterine MRI: First Application with the Female Pelvis

D Hausmann, A Marketin, R Rotzinger, J Heimer… - Academic …, 2025 - Elsevier
Rationale and Objectives The aim of this study was to compare the image quality of a deep
learning (DL)-accelerated volumetric interpolated breath-hold examination (VIBE) sequence …

Assessing Deep Learning Approaches for Time Series Analysis to Detect Uterine Sarcoma

G Shukla, M Dheer… - … Computing and Wireless …, 2024 - ieeexplore.ieee.org
This paper aims to evaluate the performance of numerous deep-gaining knowledge of
fashions for detecting Uterine Sarcoma via Time series evaluation. Uterine Sarcoma is a …