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

10.1K
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...
10.1K
Assessment of Diffusion and Perfusion01:17

Assessment of Diffusion and Perfusion

1.9K
Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this...
1.9K

You might also read

Related Articles

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

Sort by
Same author

Tenofovir Alafenamide Promotes Differentiation and Induces Apoptosis of AML Cells by Inhibiting Telomerase Reverse Transcriptase.

Anticancer research·2026
Same author

Visualization of small vibrations inside an MRI scanner using video motion amplification.

Medical physics·2026
Same author

Protopine Exerts Anti-Leukemic Effects by Promoting ROS-mediated Inhibition of Survival Signals in Acute Myeloid Leukemia Cells.

Anticancer research·2025
Same author

Norchelerythrine from <i>Corydalis incisa</i> (Thunb.) Pers. promotes differentiation and apoptosis by activating DNA damage response in acute myeloid leukemia.

International journal of oncology·2025
Same author

Development of an augmented reality system for tracheal intubation guidance of airway management.

Proceedings of SPIE--the International Society for Optical Engineering·2024
Same author

A cross-sectional natural history study of aspartylglucosaminuria.

JIMD reports·2022

Related Experiment Video

Updated: Mar 3, 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

10.9K

MRI scanner-independent specific absorption rate measurements using diffusion coefficients.

Youngseob Seo1,2, Zhiyue J Wang2

  • 1Medical Metrology Center, Korea Research Institute of Standards and Science, Yuseong-Gu, Daejeon, 34113, Republic of Korea.

Journal of Applied Clinical Medical Physics
|May 5, 2017
PubMed
Summary
This summary is machine-generated.

This study measured specific absorption rate (SAR) during MRI scans using a phantom, finding differences between scanner software and independent measurements. These findings support a standardized method for accurate SAR estimation in MRI.

Keywords:
MR safetydiffusion coefficientdiffusion tensor imaginghuman torso phantomspecific absorption rate

More Related Videos

Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

12.3K
Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

27.1K

Related Experiment Videos

Last Updated: Mar 3, 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

10.9K
Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

12.3K
Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

27.1K

Area of Science:

  • Medical Imaging Physics
  • Biophysics
  • Radiological Physics

Background:

  • Accurate measurement of radiofrequency (RF) power deposition, quantified as specific absorption rate (SAR), is crucial for patient safety during Magnetic Resonance Imaging (MRI).
  • Existing methods rely on scanner-reported values, which may not always reflect the true RF power deposition.
  • Diffusion tensor imaging (DTI) offers a potential method for independent SAR quantification.

Purpose of the Study:

  • To independently measure specific absorption rate (SAR) values during MRI scanning using a human torso phantom.
  • To compare these independently measured SAR values with those reported by the scanner software across multiple clinical MRI systems.
  • To evaluate the accuracy of scanner-reported SAR values and explore a novel measurement approach.

Main Methods:

  • Utilized a human torso phantom for SAR measurements during MRI scanning.
  • Employed diffusion tensor imaging (DTI) to quantify diffusion coefficients for SAR estimation.
  • Measured SAR values for three MRI sequences on five clinical MRI systems (1.5 T and 3 T) from different vendors.
  • Compared measured SAR values against nominal values calculated by the scanner software.

Main Results:

  • Significant discrepancies were observed between scanner-reported and independently measured SAR values across various MRI systems and field strengths.
  • For example, a Siemens 3 T system showed a 24.2% difference, while Philips 3 T systems exhibited differences of 25.6% and 26.6%.
  • The GE 1.5 T system had a 13.5% difference, and the Philips 1.5 T system showed a 6.3% difference.

Conclusions:

  • Scanner-independent SAR measurements using diffusion coefficients provide a viable and potentially more accurate method for assessing RF power deposition.
  • This standardized measurement approach can significantly improve the accuracy of SAR estimations in clinical MRI.
  • The findings highlight the need for verification of scanner-reported SAR values and suggest a path toward more reliable safety assessments.