scispace - formally typeset
Open AccessJournal ArticleDOI

Magnetic resonance fingerprinting: a technical review.

Reads0
Chats0
TLDR
In this article, magnetic resonance fingerprinting acquisition, dictionary generation, reconstruction, and validation are reviewed.
Abstract
Multiparametric quantitative imaging is gaining increasing interest due to its widespread advantages in clinical applications. Magnetic resonance fingerprinting is a recently introduced approach of fast multiparametric quantitative imaging. In this article, magnetic resonance fingerprinting acquisition, dictionary generation, reconstruction, and validation are reviewed.

read more

Citations
More filters
Journal ArticleDOI

Variability and Standardization of Quantitative Imaging: Monoparametric to Multiparametric Quantification, Radiomics, and Artificial Intelligence.

TL;DR: How the variability of quantitative values derived from radiological images are induced by a number of factors and how these variabilities are mitigated and standardization of the quantitative values are achieved is discussed.

Fast group matching for MR fingerprinting reconstruction

TL;DR: A large dictionary of Bloch simulations is compared against rapidly acquired data to estimate tissue properties such as T1, T2, proton density, and B0, and this matching process can be a very computationally demanding portion of MRF reconstruction.
Journal ArticleDOI

Magnetic resonance fingerprinting Part 1: Potential uses, current challenges, and recommendations.

TL;DR: This review discusses the current implementations of MRF and their use in a clinical setting and highlights areas of need that must be addressed before MRF can be fully adopted into the clinic and makes recommendations to the MRF community on standardization and validation strategies.
References
More filters
Book

Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers

TL;DR: It is argued that the alternating direction method of multipliers is well suited to distributed convex optimization, and in particular to large-scale problems arising in statistics, machine learning, and related areas.
Journal ArticleDOI

$rm K$ -SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation

TL;DR: A novel algorithm for adapting dictionaries in order to achieve sparse signal representations, the K-SVD algorithm, an iterative method that alternates between sparse coding of the examples based on the current dictionary and a process of updating the dictionary atoms to better fit the data.
Journal ArticleDOI

Stable signal recovery from incomplete and inaccurate measurements

TL;DR: In this paper, the authors considered the problem of recovering a vector x ∈ R^m from incomplete and contaminated observations y = Ax ∈ e + e, where e is an error term.
Journal ArticleDOI

Sparse MRI: The application of compressed sensing for rapid MR imaging.

TL;DR: Practical incoherent undersampling schemes are developed and analyzed by means of their aliasing interference and demonstrate improved spatial resolution and accelerated acquisition for multislice fast spin‐echo brain imaging and 3D contrast enhanced angiography.
Posted Content

Stable Signal Recovery from Incomplete and Inaccurate Measurements

TL;DR: It is shown that it is possible to recover x0 accurately based on the data y from incomplete and contaminated observations.
Related Papers (5)