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

2.1K
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...
2.1K
Applications of Integration to Find Blood Flow01:27

Applications of Integration to Find Blood Flow

189
Blood flow through a cylindrical blood vessel can be mathematically described using the principles of laminar flow, a regime in which fluid moves smoothly in parallel layers. In this model, the velocity of the blood is not uniform across the cross-section of the vessel; rather, it varies with the radial distance from the center. The maximum velocity occurs along the central axis, decreasing progressively toward the vessel walls, where it reaches zero due to viscous drag.Approximating Blood...
189
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

10.6K
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...
10.6K
Blood Flow01:29

Blood Flow

79.3K
Blood is pumped by the heart into the aorta, the largest artery in the body, and then into increasingly smaller arteries, arterioles, and capillaries. The velocity of blood flow decreases with increased cross-sectional blood vessel area. As blood returns to the heart through venules and veins, its velocity increases. The movement of blood is encouraged by smooth muscle in the vessel walls, the movement of skeletal muscle surrounding the vessels, and one-way valves that prevent backflow.
79.3K

You might also read

Related Articles

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

Sort by
Same author

Perioperative diffuse optical imaging of blood flow distributions for porcine skin flap viability assessment.

Journal of biomedical optics·2026
Same author

Divergent Tumor Immune Microenvironment and Response to Neoadjuvant Chemoimmunotherapy in Resectable Non-Small Cell Lung Cancer: A Single-Arm Phase II Trial.

Clinical cancer research : an official journal of the American Association for Cancer Research·2026
Same author

Reconstruction of magnon eigenfunctions by X-ray magnetic vector chronoscopy.

Nature nanotechnology·2026
Same author

All-Electric Low-Power Switching of Perpendicular Magnetization by Low-Crystal-Symmetry Weyl Semimetal NbIrTe<sub>4</sub>.

ACS nano·2026
Same author

Noninvasive diffuse optical monitoring of cerebral blood flow and oxygenation responses to intermittent hypoxia in neonatal rats.

Journal of biomedical optics·2026
Same author

AQuA2-Cloud: a web platform for fluorescence bioimaging activity analysis.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Apr 21, 2026

Blood Flow Imaging with Ultrafast Doppler
05:57

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

8.8K

A Nth-order linear algorithm for extracting diffuse correlation spectroscopy blood flow indices in heterogeneous

Yu Shang1, Guoqiang Yu1

  • 1Department of Biomedical Engineering, University of Kentucky , Lexington, Kentucky 40506, USA.

Applied Physics Letters
|November 8, 2014
PubMed
Summary

A new Nth-order linear algorithm accurately calculates blood flow index (BFI) in complex heterogeneous tissues using diffuse correlation spectroscopy (DCS). This method significantly improves upon conventional solutions, enabling precise BFI and relative cerebral blood flow (rCBF) measurements.

More Related Videos

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
07:13

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

7.3K
Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies
07:12

Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies

Published on: November 19, 2020

2.7K

Related Experiment Videos

Last Updated: Apr 21, 2026

Blood Flow Imaging with Ultrafast Doppler
05:57

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

8.8K
Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
07:13

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

7.3K
Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies
07:12

Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies

Published on: November 19, 2020

2.7K

Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Physiological Monitoring

Background:

  • Diffuse correlation spectroscopy (DCS) is used to measure blood flow index (BFI).
  • Conventional analytical solutions for DCS often yield errors in tissues with complex geometries.
  • Previous work developed an Nth-order linear algorithm for BFI extraction in homogenous tissues.

Purpose of the Study:

  • To extend the Nth-order linear algorithm for accurate BFI extraction in heterogeneous tissues with arbitrary geometries.
  • To evaluate the algorithm's performance in complex multi-layered tissue models, such as the adult head.
  • To assess the algorithm's capability in measuring relative cerebral blood flow (rCBF) in deep brain regions.

Main Methods:

  • Modified the Nth-order linear algorithm to simultaneously extract BFIs from multiple tissue types using DCS data.
  • Utilized a computer model of an adult head with heterogeneous tissue layers (scalp, skull, CSF, brain).
  • Simulated varying levels of BFI (αD) in the brain layer to test rCBF measurement accuracy.

Main Results:

  • The Nth-order linear algorithm (N≥5) demonstrated high accuracy (<3% error) in extracting BFIs across different tissue layers.
  • The algorithm accurately measured relative changes in deep brain rCBF.
  • Conventional semi-infinite homogenous solutions produced substantial errors (34.5%-60.2%) in rCBF and BFI measurements.

Conclusions:

  • The Nth-order linear algorithm provides accurate BFI and rCBF measurements in heterogeneous tissues, outperforming conventional methods.
  • The algorithm's simplification of data analysis facilitates online processing and display.
  • Future research will validate the algorithm in more complex scenarios with varying blood flow and noise levels.