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

One-Compartment Open Model for IV Bolus Administration: Estimation of Clearance00:56

One-Compartment Open Model for IV Bolus Administration: Estimation of Clearance

470
Clearance is a key pharmacokinetic parameter that quantifies the volume of body fluid from which a drug is entirely removed within a specific time frame. It is crucial in assessing how a drug is eliminated from the body and has critical clinical applications.
In the one-compartment open model for intravenous (IV) bolus administration, clearance is estimated by dividing the elimination rate by the plasma drug concentration. This equation leverages the elimination rate constant and the apparent...
470

You might also read

Related Articles

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

Sort by
Same author

Enhanced image quality in head and neck MRI with PROPELLER and deep learning reconstruction.

European journal of radiology open·2026
Same author

Neurophysiological Characteristics Associated with Driving Abilities in Older Adults: A Scoping Review.

Journal of clinical medicine·2026
Same author

Image Quality Assessment of the External Carotid Artery and Its Branches on Ultra-High-Resolution Head and Neck Computed Tomography Angiography Using a High-Resolution 0.25-mm Detector and Deep Learning Reconstruction.

AJNR. American journal of neuroradiology·2026
Same author

Improved visualization of perivascular spaces on T2-weighted imaging with deep learning-based denoising and super-resolution reconstruction.

Scientific reports·2026
Same author

A case of pseudoaneurysm of the descending palatine artery after orthognathic surgery.

Oral radiology·2026
Same author

Control of mirror activity by transcranial direct current stimulation of the supplementary motor area.

Neuroreport·2026

Related Experiment Video

Updated: Mar 23, 2026

Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol
07:59

Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol

Published on: September 7, 2018

12.2K

Tmax Determined Using a Bayesian Estimation Deconvolution Algorithm Applied to Bolus Tracking Perfusion Imaging: A

Ikuko Uwano1, Makoto Sasaki, Kohsuke Kudo

  • 1Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University.

Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine
|March 23, 2016
PubMed
Summary

The Bayesian algorithm can accurately calculate Tmax, a key indicator for ischemic penumbra, by deriving tracer arrival delay (TD) and mean transit time (MTT). This method shows excellent correlation with singular value decomposition (SVD) algorithms.

More Related Videos

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro
08:00

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro

Published on: December 3, 2018

8.9K
Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis
05:56

Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis

Published on: August 9, 2024

2.8K

Related Experiment Videos

Last Updated: Mar 23, 2026

Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol
07:59

Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol

Published on: September 7, 2018

12.2K
Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro
08:00

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro

Published on: December 3, 2018

8.9K
Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis
05:56

Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis

Published on: August 9, 2024

2.8K

Area of Science:

  • Medical Imaging
  • Neuroimaging
  • Radiology

Background:

  • Bayesian estimation algorithms enhance perfusion imaging precision.
  • Tmax, crucial for identifying ischemic penumbra, is not directly calculable by Bayesian methods.
  • Tmax reflects tracer arrival delay (TD) and other perfusion parameters.

Purpose of the Study:

  • To calculate Tmax using TD and mean transit time (MTT) from the Bayesian algorithm.
  • To assess the accuracy of Bayesian-derived Tmax against singular value decomposition (SVD) algorithms.

Main Methods:

  • Bayesian algorithm generated TD and MTT maps using digital phantoms.
  • Tmax was computed from TD and MTT with constants from a linear least-squares fit.
  • Correlations between Bayesian and SVD Tmax values were analyzed.

Main Results:

  • Bayesian algorithm accurately estimated TD and MTT values in digital phantoms.
  • Tmax derived from Bayesian TD and MTT showed excellent correlation (r=0.99) and agreement (ICC=0.99) with SVD-derived Tmax.

Conclusions:

  • Tmax values derived from Bayesian algorithm-generated TD and MTT correlate well with SVD-derived Tmax.
  • This validates a method for calculating Tmax using Bayesian perfusion imaging data.