Deep learning for accelerated and robust MRI reconstruction
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 …
resonance imaging (MRI), a critical tool in diagnostic radiology. This review paper provides …
CEST‐MRI for body oncologic imaging: are we there yet?
E Vinogradov, J Keupp, IE Dimitrov, S Seiler… - NMR in …, 2023 - Wiley Online Library
Chemical exchange saturation transfer (CEST) MRI has gained recognition as a valuable
addition to the molecular imaging and quantitative biomarker arsenal, especially for …
addition to the molecular imaging and quantitative biomarker arsenal, especially for …
Validation of the presence of fast exchanging amine CEST effect at low saturation powers and its influence on the quantification of APT
Purpose Accurately quantifying the amide proton transfer (APT) effect and the underlying
exchange parameters is crucial for its applications, but previous studies have reported …
exchange parameters is crucial for its applications, but previous studies have reported …
Accelerated and quantitative three‐dimensional molecular MRI using a generative adversarial network
J Weigand‐Whittier, M Sedykh, K Herz… - Magnetic resonance …, 2023 - Wiley Online Library
Purpose To substantially shorten the acquisition time required for quantitative three‐
dimensional (3D) chemical exchange saturation transfer (CEST) and semisolid …
dimensional (3D) chemical exchange saturation transfer (CEST) and semisolid …
Bloch simulator–driven deep recurrent neural network for magnetization transfer contrast MR fingerprinting and CEST imaging
Purpose To develop a unified deep‐learning framework by combining an ultrafast Bloch
simulator and a semisolid macromolecular magnetization transfer contrast (MTC) MR …
simulator and a semisolid macromolecular magnetization transfer contrast (MTC) MR …
MR fingerprinting for semisolid magnetization transfer and chemical exchange saturation transfer quantification
Chemical exchange saturation transfer (CEST) MRI has positioned itself as a promising
contrast mechanism, capable of providing molecular information at sufficient resolution and …
contrast mechanism, capable of providing molecular information at sufficient resolution and …
MR‐zero meets RARE MRI: Joint optimization of refocusing flip angles and neural networks to minimize T2‐induced blurring in spin echo sequences
HN Dang, J Endres, S Weinmüller… - Magnetic …, 2023 - Wiley Online Library
Purpose An end‐to‐end differentiable 2D Bloch simulation is used to reduce T2 induced
blurring in single‐shot turbo spin echo sequences, also called rapid imaging with refocused …
blurring in single‐shot turbo spin echo sequences, also called rapid imaging with refocused …
Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results
A recent PNAS paper reveals that several popular deep reconstruction networks are
unstable. Specifically, three kinds of instabilities were reported:(1) strong image artefacts …
unstable. Specifically, three kinds of instabilities were reported:(1) strong image artefacts …
Physics-driven deep learning methods for fast quantitative magnetic resonance imaging: Performance improvements through integration with deep neural networks
Quantitative magnetic resonance imaging (qMRI) aims to obtain quantitative biophysical
parameters based on physical models derived from MR spin magnetization evolution. This …
parameters based on physical models derived from MR spin magnetization evolution. This …
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 …
indications has yielded improved prognosis for cases where traditional therapy has shown …