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 Concept Videos

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...

You might also read

Related Articles

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

Sort by
Same author

Primary prostatic seminoma: a rare case report and structured literature review highlighting tumor marker discordance.

Therapeutic advances in medical oncology·2026
Same author

Blind Estimation Versus Direct Measurement of the Arterial Input Function in Dynamic Contrast-Enhanced MRI of the Breast.

Magnetic resonance in medicine·2026
Same author

Comparison of bi- and tri-component approaches for the analysis of short-T<sub>2</sub><sup>*</sup> tissues in the presence of fat: application to the Achilles tendon.

Magma (New York, N.Y.)·2026
Same author

Resting-State Functional Connectivity of the Amygdala and Hippocampus in PTSD: Results From the PGC-ENIGMA PTSD Working Group.

The American journal of psychiatry·2026
Same author

Disrupted intrathalamic and thalamocortical structural covariance networks in posttraumatic stress disorder.

Network neuroscience (Cambridge, Mass.)·2026
Same author

Long-term neurostructural and psychological effects of war stress in two generations of civilians from the former Yugoslavia.

Scientific reports·2026

Related Experiment Video

Updated: Jun 8, 2026

Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
17:16

Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring

Published on: December 9, 2010

10.3K

Two-parametric prescan calibration of gradient-induced sampling errors for rosette MRI.

Peter Latta1, Radovan Jiřík2, Jiří Vitouš2

  • 1Central European Institute of Technology, Masaryk University, Brno, Czech Republic.

Magnetic Resonance in Medicine
|October 22, 2024
PubMed
Summary

A new calibration method for rosette MRI k-space sampling corrects misalignments, significantly improving image quality and reducing artifacts. This robust, two-parameter approach enhances precision for routine experimental use in magnetic resonance imaging.

Keywords:
gradient imperfectionsk‐space misalignmentrosette trajectorytrajectory estimation

More Related Videos

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.5K
Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
08:43

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment

Published on: August 7, 2017

7.9K

Related Experiment Videos

Last Updated: Jun 8, 2026

Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
17:16

Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring

Published on: December 9, 2010

10.3K
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.5K
Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
08:43

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment

Published on: August 7, 2017

7.9K

Area of Science:

  • Medical Imaging
  • Magnetic Resonance Imaging (MRI)

Background:

  • Rosette MRI k-space sampling can suffer from misalignments.
  • Image artifacts are a common issue in uncorrected rosette MRI data.

Purpose of the Study:

  • To develop a simple, robust, and user-friendly calibration procedure for rosette MRI.
  • To correct k-space sampling misalignments and minimize image artifacts.

Main Methods:

  • Implemented quick automatic calibration scans to capture rosette acquisition trajectory time course.
  • Devised a two-parameter model to approximate the actual rosette sampling trajectory using measured gradient delays.
  • Assessed the calibration approach's performance on phantoms and human subjects.

Main Results:

  • Significant improvement in phantom and in vivo image fidelity compared to uncorrected data.
  • Demonstrated enhanced precision and reliability of the two-parameter calibration approach.
  • Quantitative relaxometry analyses confirmed the improvements.

Conclusions:

  • Data sampling correction is essential for rosette MRI.
  • The proposed two-parameter rosette trajectory calibration is robust, easy to implement, and suitable for routine use.
  • This method effectively reduces artifacts and improves image quality in rosette MRI.