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

Assessment of Diffusion and Perfusion01:17

Assessment of Diffusion and Perfusion

1.4K
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...
1.4K
Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

239
Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
239
Deconvolution01:20

Deconvolution

443
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
443
Fundamental Mathematical Principles in Pharmacokinetics: Calculus and Graphs01:21

Fundamental Mathematical Principles in Pharmacokinetics: Calculus and Graphs

2.7K
The fundamental mathematical principles, such as calculus and graphs, play crucial roles in analyzing drug movement and determining pharmacokinetic parameters. Differential calculus examines rates of change and helps to determine the dissolution rate of drugs in biofluids, as well as how drug concentrations change over time. For instance, it can help calculate the rate of elimination of a drug from the body based on its concentration-time profile.
On the other hand, integral calculus focuses on...
2.7K

You might also read

Related Articles

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

Sort by
Same authorSame journal

Myelin Oligodendrocyte Glycoprotein Antibody Associated with Lumbar Radiculitis: A Case Report.

Acta neurologica Taiwanica·2026
Same author

Variability in epilepsy polygenic risk prediction across Taiwanese population and clinical cohorts.

Epilepsia·2026
Same author

Congenital Ichthyosis and Spastic Diplegia: Sjögren-Larsson Syndrome.

Indian dermatology online journal·2026
Same author

Fatal Tracheostomy-Related Complications in a Pediatric Patient with DYT1 Dystonia After Delayed Deep Brain Stimulation.

Cureus·2026
Same author

Corrigendum to "NOTCH3 p.R544C variant in vascular Parkinsonism: Clinical and imaging correlates in a Taiwanese cohort" [Parkinsonism & Related Disorders 139 (2025) 6 6 107997].

Parkinsonism & related disorders·2025
Same author

Impact of ALDH2 genotypes and alcohol consumption on age at first-ever ischemic stroke: A cohort study in Taiwan.

Alcohol, clinical & experimental research·2025

Related Experiment Video

Updated: Dec 7, 2025

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

2.2K

Mathematical Framework of Deconvolution Algorithms for Quantification of Perfusion Parameters.

Fanpei Yang1, Sukhdeep Singh Bal Bal2, Yueh-Feng Sung3

  • 1Department of National Tsing Hua University Hsinchu, Taiwan; University of Liverpool.

Acta Neurologica Taiwanica
|September 30, 2020
PubMed
Summary

The improved bSVD algorithm offers more accurate cerebral blood flow (CBF) and volume (CBV) estimates in acute stroke patients compared to standard SVD. However, artifacts can still influence CBF calculations.

More Related Videos

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling
12:29

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling

Published on: May 30, 2011

14.0K
Blood Flow Imaging with Ultrafast Doppler
05:57

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

8.1K

Related Experiment Videos

Last Updated: Dec 7, 2025

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

2.2K
Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling
12:29

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling

Published on: May 30, 2011

14.0K
Blood Flow Imaging with Ultrafast Doppler
05:57

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

8.1K

Area of Science:

  • Medical Imaging
  • Neurology
  • Biophysics

Background:

  • MR Perfusion Weighted Imaging (PWI) is crucial for identifying tissue at risk of infarction.
  • Quantitative perfusion parameters like cerebral blood flow (CBF), mean transit time (MTT), and cerebral blood volume (CBV) are derived from PWI data.
  • The standard singular value decomposition (SVD) algorithm for PWI analysis assumes no arterial-tissue delay (ATD), leading to underestimation of perfusion parameters.

Purpose of the Study:

  • To elucidate the mathematical framework of SVD and its improved variants (bSVD, rSVD).
  • To utilize computational techniques with the bSVD algorithm for generating accurate perfusion parameter maps (CBF, CBV, MTT) in acute stroke patients.
  • To assess the impact of ATD on perfusion parameter estimation.

Main Methods:

  • Exploration of the mathematical underpinnings of SVD, bSVD, and rSVD algorithms.
  • Application of computational deconvolution techniques to process PWI data.
  • Generation of CBF, CBV, and MTT maps for acute stroke patients using the bSVD algorithm.

Main Results:

  • Post-processing of CBV, CBF, and MTT maps revealed reduced CBF and CBV in the left hemisphere.
  • The bSVD algorithm demonstrated sensitivity to ATD, providing more accurate perfusion parameter estimates than the standard SVD algorithm.
  • CBF estimates derived from both bSVD and rSVD algorithms were still susceptible to other artifacts.

Conclusions:

  • The bSVD algorithm improves the accuracy of perfusion parameter estimation in PWI compared to SVD, particularly in the presence of ATD.
  • Despite improvements, artifacts can still affect the accuracy of CBF measurements obtained using bSVD and rSVD.
  • Accurate estimation of perfusion parameters is vital for understanding tissue status in acute stroke.