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Journal ArticleDOI

Algorithm comparison for schedule optimization in MR fingerprinting.

Ouri Cohen, +1 more
- 01 Sep 2017 - 
- Vol. 41, pp 15-21
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TLDR
This work examines several different optimization algorithms to determine the one best suited for optimizing MR Fingerprinting acquisition schedules.
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This article is published in Magnetic Resonance Imaging.The article was published on 2017-09-01. It has received 59 citations till now. The article focuses on the topics: Schedule.

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Citations
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Journal ArticleDOI

MR fingerprinting Deep RecOnstruction NEtwork (DRONE)

TL;DR: A novel fast method for reconstruction of multi‐dimensional MR fingerprinting (MRF) data using deep learning methods and it is shown that this method can be used to solve the challenge of integrating 3D image recognition and 3D handwriting analysis.
Journal ArticleDOI

Optimal Experiment Design for Magnetic Resonance Fingerprinting: Cramér-Rao Bound Meets Spin Dynamics

TL;DR: This paper describes a discrete-time dynamic system to model spin dynamics, and derives an estimation-theoretic bound, i.e., the Cramér-Rao bound, to characterize the signal-to-noise ratio (SNR) efficiency of an MR fingerprinting experiment.
Journal ArticleDOI

Magnetic resonance fingerprinting: a technical review.

TL;DR: In this article, magnetic resonance fingerprinting acquisition, dictionary generation, reconstruction, and validation are reviewed.
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
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Book

Matrix Analysis

TL;DR: In this article, the authors present results of both classic and recent matrix analyses using canonical forms as a unifying theme, and demonstrate their importance in a variety of applications, such as linear algebra and matrix theory.
Proceedings ArticleDOI

A new optimizer using particle swarm theory

TL;DR: The optimization of nonlinear functions using particle swarm methodology is described and implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm.
Journal ArticleDOI

Ant colony system: a cooperative learning approach to the traveling salesman problem

TL;DR: The results show that the ACS outperforms other nature-inspired algorithms such as simulated annealing and evolutionary computation, and it is concluded comparing ACS-3-opt, a version of the ACS augmented with a local search procedure, to some of the best performing algorithms for symmetric and asymmetric TSPs.
Journal ArticleDOI

Generalized autocalibrating partially parallel acquisitions (GRAPPA).

TL;DR: This technique, GeneRalized Autocalibrating Partially Parallel Acquisitions (GRAPPA) is an extension of both the PILS and VD‐AUTO‐SMASH reconstruction techniques and provides unaliased images from each component coil prior to image combination.
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