Quantitative MRI: Rationale and Challenges

  title={Quantitative MRI: Rationale and Challenges},
  author={Vikas Gulani and Nicole Seiberlich},
Quantitative Imaging Principles Improves Medical Image Learning
This work proposes incorporating quantitative imaging principles during generative SSL to improve image quality and quantitative biological accuracy and shows that this training schema results in better starting states for downstream supervised training on limited data.
Timing the Ischemic Stroke by Multiparametric Quantitative Magnetic Resonance Imaging
Exploiting advanced technologies such as Magnetic Resonance Fingerprinting, artificial intelligence (AI), and machine learning (ML) for the post-processing of MRI data, combined with fast MRI techniques, is expected to speed up the translation of objective stroke timing procedures into patient management.
Low‐rank inversion reconstruction for through‐plane accelerated radial MR fingerprinting applied to relaxometry at 0.35 T
A low-rank inversion method is proposed to resolve MRF contrast dynamics from through-plane accelerated Cartesian/radial measurements applied to quantitative relaxation-time mapping on a 0.35T system.


Quantitative radiomics studies for tissue characterization: a review of technology and methodological procedures
An overview of the current challenges, technical routines and protocols that are involved in quantitative imaging studies is presented, which emphasizes the importance of proper feature selection and prediction model-building routines to prevent overfitting.
Quantitative magnetic resonance imaging phantoms: A review and the need for a system phantom
This paper, written by members of the Standards for Quantitative Magnetic Resonance committee, reviews standardization attempts and then details the need, requirements, and implementation plan for a standard system phantom for quantitative MRI.
In Vivo Quantitative Susceptibility Mapping (QSM) in Alzheimer's Disease
The regional and whole-brain cross-sectional comparisons between Alzheimer's disease subjects and matched controls indicate that there may be significant magnetic susceptibility differences for deep brain nuclei – particularly the putamen – as well as for posterior grey and white matter regions.
Sparse Reconstruction Techniques in Magnetic Resonance Imaging: Methods, Applications, and Challenges to Clinical Adoption
The basic ideas behind sparse reconstruction techniques are described, how they could be applied to improve MRI, and the open challenges to their general adoption in a clinical setting are described.
Parallel MR imaging
The advantages of parallel imaging in a clinical setting include faster image acquisition, which can be used, for instance, to shorten breath‐hold times resulting in fewer motion‐corrupted examinations and recent advancements and promising research in parallel imaging are briefly reviewed.
Stages of technical efficacy: Journal of Magnetic Resonance Imaging style
  • M. Schweitzer
  • Medicine
    Journal of magnetic resonance imaging : JMRI
  • 2016
In their more granular approach, the authors try and stress that technical development not only relies on the traditional steps but often, sequential sub-steps that need to be performed in the assessment of a new technology.
T2w-MRI signal normalization affects radiomics features reproducibility.
Evaluating the effect of three different normalization techniques, applied on T2w-MRI images of the pelvic region, on radiomic features reproducibility concluded that Norm_Mean and Norm_HM seem to provide the most reproducible features with respect to the original image and also between themselves, whereas Norm_ROI generates the less reproducible.
Cross-vendor validation of liver magnetic resonance elastography
It is demonstrated that liver stiffness measurement with MRE is reproducible and has very good consistency across two vendor platforms.
Quantification of hepatic steatosis with a multistep adaptive fitting MRI approach: prospective validation against MR spectroscopy.
The described MRI-based liver proton density fat fraction measures are clinically feasible and accurate and an important step toward wide availability and acceptance of theMRI-based measurement of protondensity fat fraction as an accurate and generalizable biomarker.