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Related Concept Videos

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

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IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
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Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
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Atomic force microscopy (AFM) is a type of scanning probe microscopy that can analyze topographic details of various specimens like ceramics, glass, polymers, and biological samples. AFM offers over 1000 times more resolution than the optical imaging system. Images generated from AFM are three-dimensional surface profiles, offering an advantage over the flat, two-dimensional images from other imaging techniques.
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The early pioneers of microscopy opened a window into the invisible world of microorganisms. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes that leveraged nonvisible light, such as fluorescence microscopy that uses an ultraviolet light source and electron microscopy that uses short-wavelength electron beams. These advances significantly improved magnification, image resolution, and contrast. By comparison, the...
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Related Experiment Video

Updated: Dec 24, 2025

Application of DNA Fingerprinting using the D1S80 Locus in Lab Classes
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A Perspective on MR Fingerprinting.

Jakob Assländer1,2

  • 1Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.

Journal of Magnetic Resonance Imaging : JMRI
|April 15, 2020
PubMed
Summary

Magnetic Resonance Fingerprinting (MRF) offers flexible quantitative MRI parameter mapping without signal assumptions. Analyzing signal derivatives, not just unique fingerprints, improves pulse sequence efficiency for reproducible biological tissue imaging.

Keywords:
MRFparameter mappingqMRIquantitative MRIrelaxometry

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Quantitative MRI
  • Biophysical Modeling

Background:

  • Magnetic Resonance Fingerprinting (MRF) is an emerging quantitative MRI technique.
  • Existing MRF methods rely on dictionary matching for parameter mapping.
  • There is a need to refine MRF terminology and understand its fundamental principles.

Purpose of the Study:

  • To review the core concepts of MRF.
  • To contextualize MRF within quantitative MRI literature.
  • To propose refined terminology and a more informative approach to MRF analysis.

Main Methods:

  • Review of MRF principles and reconstruction techniques.
  • Analysis of signal evolution and derivatives with respect to biophysical parameters.
  • Discussion of pulse sequence design and biophysical model tailoring.

Main Results:

  • MRF's robustness and flexibility stem from minimal assumptions about signal evolution.
  • Signal derivative analysis is more informative than unique fingerprinting for assessing parameter mapping efficiency.
  • MRF's advantages are maximized with longer scan times, beneficial for 3D imaging.

Conclusions:

  • Refined terminology and a focus on signal derivatives enhance understanding of MRF.
  • Tailoring pulse sequences and models improves the reproducibility of quantitative MRI parameter mapping.
  • MRF shows promise for accurate and reproducible biological tissue characterization.