Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Dynamically adaptive MRI with encoding by singular value decomposition

G P Zientara1, L P Panych, F A Jolesz

  • 1Harvard Medical School, Boston, Massachusetts.

Magnetic Resonance in Medicine
|August 1, 1994
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Automatic Segmentation of Breast Carcinomas from DCE-MRI using a Statistical Learning Algorithm.

Proceedings. IEEE International Symposium on Biomedical Imaging·2017
Same author

Testing the Efficacy of Contrast-Enhanced Ultrasound in Detecting Transplant Rejection Using a Murine Model of Heart Transplantation.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons·2016
Same author

Design and development of a mobile image overlay system for needle interventions.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2015
Same author

Computer-assisted intra-operative magnetic resonance imaging monitoring of interstitial laser therapy in the brain: a case report.

Journal of biomedical optics·2012
Same author

Investigation of long-term reproducibility of intrinsic connectivity network mapping: a resting-state fMRI study.

AJNR. American journal of neuroradiology·2012
Same author

Image-guided therapy and intraoperative MRI in neurosurgery.

Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy·2010
Same journal

A Comparison of Tissue Property Values Estimated Using Conventional Cardiac MRF and MT-Cardiac MRF.

Magnetic resonance in medicine·2026
Same journal

Dependence of the Extra-Cellular Diffusion Coefficient on the Fractions of Neurites and Cell Bodies in Gray Matter.

Magnetic resonance in medicine·2026
Same journal

Triple-Pulse <sup>23</sup>Na MRI Sequence (TriNa) for Simultaneous Acquisition of Spin-Density-Weighted and Fluid-Attenuated Images.

Magnetic resonance in medicine·2026
Same journal

Evaluation of Phantom Doping Materials in Quantitative Susceptibility Mapping.

Magnetic resonance in medicine·2026
Same journal

Design of an 8-Channel Transmit 32-Channel Receive 11.7T Head Coil and Evaluation of SNR Gains.

Magnetic resonance in medicine·2026
Same journal

The Potential for Absolute Temperature Imaging Based on Brain Metabolites Using an FID-Shifting Approach in Gradient Echo Planar Spectroscopic Imaging (GREPSI).

Magnetic resonance in medicine·2026
See all related articles

A novel magnetic resonance imaging (MRI) spatial encoding method uses singular value decomposition (SVD) for efficient dynamic adaptive imaging. This technique optimizes encoding profiles for faster, adaptive MRI applications.

Area of Science:

  • Medical Imaging
  • Magnetic Resonance Imaging (MRI)
  • Signal Processing

Background:

  • Dynamic adaptive MRI requires efficient spatial encoding.
  • Existing methods may not be optimal for adaptive imaging tasks.
  • SVD offers a mathematical framework for optimization.

Purpose of the Study:

  • To introduce a new MRI spatial encoding method based on SVD.
  • To demonstrate its applicability to dynamic adaptive MRI.
  • To evaluate its efficiency in experimental cases.

Main Methods:

  • Developed a novel spatial encoding technique using SVD.
  • Integrated spatially selective radiofrequency (RF) excitation.
  • Computed minimal spatial encoding profiles from previous image estimates.

Related Experiment Videos

Main Results:

  • The SVD-based method provides near-minimal encoding profiles.
  • Experimental results show potential for dynamic imaging tasks.
  • Demonstrated high efficiency for SVD-encoded MRI.

Conclusions:

  • The new SVD-based MRI encoding is highly efficient.
  • This method is particularly suitable for dynamic adaptive MRI.
  • It offers a promising approach for advanced imaging applications.