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High-resolution In Vivo Manual Segmentation Protocol for Human Hippocampal Subfields Using 3T Magnetic Resonance Imaging
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A MR Fingerprinting Development Kit for Quantitative 3D Brain Imaging.

Rasim Boyacioglu1, Thomas Kluge2, Guido Buonincontri2

  • 1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.

Journal of Magnetic Resonance Imaging : JMRI
|March 28, 2026
PubMed
Summary
This summary is machine-generated.

A new Magnetic Resonance Fingerprinting (MRF) Development Kit (MRFDK) simplifies quantitative imaging. This tool enables efficient sequence design and real-time reconstruction, improving multiparametric tissue characterization for clinical use.

Keywords:
Bland–AltmanMRFaccuracyclinical translationmappingmetastasisquantitative MRIrelaxationrepeatability

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Area of Science:

  • Quantitative imaging techniques
  • Medical physics
  • Biomedical engineering

Background:

  • Magnetic Resonance Fingerprinting (MRF) offers multiparametric tissue characterization.
  • Clinical adoption of MRF is limited by complex data acquisition and post-processing.
  • Technical challenges hinder broader clinical deployment of MRF.

Purpose of the Study:

  • Develop a modular MRF Development Kit (MRFDK).
  • Enable efficient MRF sequence design and implementation.
  • Facilitate real-time MRF image reconstruction.

Main Methods:

  • Prospective study utilizing a 3T MR system.
  • MRF sequence design and implementation using the MRFDK.
  • Phantom experiments and in vivo scans of healthy volunteers and brain cancer patients.
  • Bland-Altman analysis for repeatability assessment.

Main Results:

  • Phantom experiments demonstrated high accuracy (3% for T1, 5% for T2).
  • Excellent in vivo repeatability was observed in healthy subjects (T1: 0.95%±1.85%, T2: 1.78%±5.08%).
  • Metastatic lesions showed significantly higher T1 and T2 values compared to normal white matter.
  • T1 and T2 maps were available within 1 minute post-scan with integrated B1 correction.

Conclusions:

  • A modular MRF development package was successfully developed and evaluated.
  • The MRFDK enables efficient 3D acquisition and rapid inline reconstruction.
  • This toolkit facilitates broader clinical adoption of quantitative MRF imaging.