Imaging in interventional radiology: 2043 and beyond

KK Brock, SR Chen, RA Sheth, JH Siewerdsen - Radiology, 2023 - pubs.rsna.org
Since its inception in the early 20th century, interventional radiology (IR) has evolved
tremendously and is now a distinct clinical discipline with its own training pathway. The …

Deep learning for accelerated and robust MRI reconstruction

R Heckel, M Jacob, A Chaudhari, O Perlman… - … Resonance Materials in …, 2024 - Springer
Deep learning (DL) has recently emerged as a pivotal technology for enhancing magnetic
resonance imaging (MRI), a critical tool in diagnostic radiology. This review paper provides …

Only‐train‐once MR fingerprinting for B0 and B1 inhomogeneity correction in quantitative magnetization‐transfer contrast

B Kang, M Singh, HW Park… - Magnetic resonance in …, 2023 - Wiley Online Library
Purpose To develop a fast, deep‐learning approach for quantitative magnetization‐transfer
contrast (MTC)–MR fingerprinting (MRF) that simultaneously estimates multiple tissue …

Metabolic brain imaging with glucosamine CEST MRI: in vivo characterization and first insights

M Rivlin, O Perlman, G Navon - Scientific Reports, 2023 - nature.com
The utility of chemical exchange saturation transfer (CEST) MRI for monitoring the uptake of
glucosamine (GlcN), a safe dietary supplement, has been previously demonstrated in …

Molecular MRI-Based Monitoring of Cancer Immunotherapy Treatment Response

N Vladimirov, O Perlman - International Journal of Molecular Sciences, 2023 - mdpi.com
Immunotherapy constitutes a paradigm shift in cancer treatment. Its FDA approval for several
indications has yielded improved prognosis for cases where traditional therapy has shown …

Self‐supervised learning for denoising of multidimensional MRI data

B Kang, W Lee, H Seo, HY Heo… - Magnetic resonance in …, 2024 - Wiley Online Library
Purpose To develop a fast denoising framework for high‐dimensional MRI data based on a
self‐supervised learning scheme, which does not require ground truth clean image. Theory …

Emerging Trends in Magnetic Resonance Fingerprinting for Quantitative Biomedical Imaging Applications: A Review

A Monga, D Singh, HL de Moura, X Zhang, MVW Zibetti… - Bioengineering, 2024 - mdpi.com
Magnetic resonance imaging (MRI) stands as a vital medical imaging technique, renowned
for its ability to offer high-resolution images of the human body with remarkable soft-tissue …

Unraveling contributions to the Z‐spectrum signal at 3.5 ppm of human brain tumors

HY Heo, M Singh, SZ Mahmud, L Blair… - Magnetic resonance …, 2024 - Wiley Online Library
Purpose To evaluate the influence of the confounding factors, direct water saturation (DWS),
and magnetization transfer contrast (MTC) effects on measured Z‐spectra and amide proton …

Global deep learning optimization of chemical exchange saturation transfer magnetic resonance fingerprinting acquisition schedule

O Cohen, R Otazo - NMR in biomedicine, 2023 - Wiley Online Library
Chemical exchange saturation transfer (CEST) MRI is a promising molecular imaging
technique but suffers from long scan times and complicated processing. CEST was recently …

Dynamic and rapid deep synthesis of chemical exchange saturation transfer and semisolid magnetization transfer MRI signals

D Nagar, N Vladimirov, CT Farrar, O Perlman - Scientific Reports, 2023 - nature.com
Abstract Model-driven analysis of biophysical phenomena is gaining increased attention
and utility for medical imaging applications. In magnetic resonance imaging (MRI), the …