EJR van Beek, C Kuhl, Y Anzai… - Journal of Magnetic …, 2019 - Wiley Online Library
There is increasing scrutiny from healthcare organizations towards the utility and associated costs of imaging. MRI has traditionally been used as a high‐end modality, and although …
Purpose To develop a super‐resolution technique using convolutional neural networks for generating thin‐slice knee MR images from thicker input slices, and compare this method …
Artificial intelligence algorithms based on principles of deep learning (DL) have made a large impact on the acquisition, reconstruction, and interpretation of MRI data. Despite the …
AD Desai, AM Schmidt, EB Rubin, CM Sandino… - arXiv preprint arXiv …, 2022 - arxiv.org
Magnetic resonance imaging (MRI) is a cornerstone of modern medical imaging. However, long image acquisition times, the need for qualitative expert analysis, and the lack of (and …
Osteoarthritis (OA) of the knee is a major source of disability that has no known treatment or cure. Morphological and compositional MRI is commonly used for assessing the bone and …
AS Chaudhari, MJ Grissom, Z Fang… - American Journal of …, 2021 - Am Roentgen Ray Soc
Please see the Editorial Comment by Derik L. Davis discussing this article. BACKGROUND. Potential approaches for abbreviated knee MRI, including prospective acceleration with …
AS Chaudhari, KJ Stevens, JP Wood… - Journal of Magnetic …, 2020 - Wiley Online Library
Background Super‐resolution is an emerging method for enhancing MRI resolution; however, its impact on image quality is still unknown. Purpose To evaluate MRI super …
Objective Molecular information derived from dynamic [18 F] sodium fluoride ([18 F] NaF) PET imaging holds promise as a quantitative marker of bone metabolism. The objective of …
Magnetic resonance imaging (MRI) is a well-established imaging technique for structural assessment of knee osteoarthritis (OA) particularly in a research context. Conventional MRI …