Magnetic Resonance Imaging (MRI) is an essential medical imaging modality that provides excellent soft-tissue contrast and high-resolution images of the human body, allowing us to …
Y Wang, Y Pang, C Tong - Computers in Biology and Medicine, 2023 - Elsevier
Reconstructing zero-filled MR images (ZF) from partial k-space by convolutional neural networks (CNN) is an important way to accelerate MRI. However, due to the lack of attention …
H Kim, SW Kang, JH Kim, H Nagar, M Sabuncu… - European Journal of …, 2023 - Elsevier
Prostate MRI plays an important role in imaging the prostate gland and surrounding tissues, particularly in the diagnosis and management of prostate cancer. With the widespread …
Radiofrequency (RF) coils for magnetic resonance imaging (MRI) applications serve to generate RF fields to excite the nuclei in the sample (transmit coil) and to pick up the RF …
G Saju, Z Li, H Mao, T Liu, Y Chang - Physics in Medicine & …, 2023 - iopscience.iop.org
Objective. Periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) used in magnetic resonance imaging (MRI) is inherently insensitive to …
DIRECT is a Python, end-to-end pipeline for solving inverse problems emerging in image processing. It is built with PyTorch (Paszke et al., 2019) and stores state-of-the-art deep …
When sparsely sampled data are used to accelerate magnetic resonance imaging (MRI), conventional reconstruction approaches produce significant artifacts that obscure the …
S Nigam, E Gjelaj, R Wang, GW Wei… - Journal of Magnetic …, 2024 - Wiley Online Library
In recent years, magnetic particle imaging (MPI) has emerged as a promising imaging technique depicting high sensitivity and spatial resolution. It originated in the early 2000s …
Introduction The complexity of Magnetic Resonance Imaging (MRI) sequences requires expert knowledge about the underlying contrast mechanisms to select from the wide range …