[HTML][HTML] An overview of deep learning in medical imaging focusing on MRI
AS Lundervold, A Lundervold - Zeitschrift für Medizinische Physik, 2019 - Elsevier
What has happened in machine learning lately, and what does it mean for the future of
medical image analysis? Machine learning has witnessed a tremendous amount of attention …
medical image analysis? Machine learning has witnessed a tremendous amount of attention …
Magnetic resonance fingerprinting: a technical review
B Bipin Mehta, S Coppo… - Magnetic resonance …, 2019 - Wiley Online Library
Multiparametric quantitative imaging is gaining increasing interest due to its widespread
advantages in clinical applications. Magnetic resonance fingerprinting is a recently …
advantages in clinical applications. Magnetic resonance fingerprinting is a recently …
Deep learning for fast and spatially constrained tissue quantification from highly accelerated data in magnetic resonance fingerprinting
Magnetic resonance fingerprinting (MRF) is a quantitative imaging technique that can
simultaneously measure multiple important tissue properties of human body. Although MRF …
simultaneously measure multiple important tissue properties of human body. Although MRF …
Magnetic resonance fingerprinting–an overview
Abstract Magnetic Resonance Fingerprinting (MRF) is a new approach to quantitative
magnetic resonance imaging that allows simultaneous measurement of multiple tissue …
magnetic resonance imaging that allows simultaneous measurement of multiple tissue …
Synthetic MRI: technologies and applications in neuroradiology
Synthetic MRI is a technique that synthesizes contrast‐weighted images from multicontrast
MRI data. There have been advances in synthetic MRI since the technique was introduced …
MRI data. There have been advances in synthetic MRI since the technique was introduced …
Magnetic resonance fingerprinting Part 1: Potential uses, current challenges, and recommendations
ME Poorman, MN Martin, D Ma… - Journal of Magnetic …, 2020 - Wiley Online Library
Magnetic resonance fingerprinting (MRF) is a powerful quantitative MRI technique capable
of acquiring multiple property maps simultaneously in a short timeframe. The MRF …
of acquiring multiple property maps simultaneously in a short timeframe. The MRF …
Development of high‐resolution 3D MR fingerprinting for detection and characterization of epileptic lesions
Background Conventional MRI can be limited in detecting subtle epileptic lesions or
identifying active/epileptic lesions among widespread, multifocal lesions. Purpose We …
identifying active/epileptic lesions among widespread, multifocal lesions. Purpose We …
Multiparametric estimation of brain hemodynamics with MR fingerprinting ASL
Purpose Assessment of brain hemodynamics without exogenous contrast agents is of
increasing importance in clinical applications. This study aims to develop an MR perfusion …
increasing importance in clinical applications. This study aims to develop an MR perfusion …
Automated design of pulse sequences for magnetic resonance fingerprinting using physics-inspired optimization
SP Jordan, S Hu, I Rozada… - Proceedings of the …, 2021 - National Acad Sciences
Magnetic resonance fingerprinting (MRF) is a method to extract quantitative tissue properties
such as T 1 and T 2 relaxation rates from arbitrary pulse sequences using conventional MRI …
such as T 1 and T 2 relaxation rates from arbitrary pulse sequences using conventional MRI …
Investigating and reducing the effects of confounding factors for robust T1 and T2 mapping with cardiac MR fingerprinting
This study aims to improve the accuracy and consistency of T 1 and T 2 measurements
using cardiac MR Fingerprinting (cMRF) by investigating and accounting for the effects of …
using cardiac MR Fingerprinting (cMRF) by investigating and accounting for the effects of …