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

Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

501
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
501
Accuracy, limits, and approximation01:28

Accuracy, limits, and approximation

1.4K
Accuracy, limits, and approximations are common in many fields, especially in engineering calculations. These concepts are imperative for ensuring that a given value is as close as possible to its true value.
Accuracy is defined as the closeness of the measured value to the true or actual value. In engineering mechanics, repeated measurements are taken during theoretical or experimental analyses to ensure that the result is precise and accurate.
The accuracy of any solution is based on the...
1.4K
Computed Tomography01:10

Computed Tomography

7.5K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
7.5K

You might also read

Related Articles

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

Sort by
Same author

Non-stationary estimation of optical absorption in ultrasound-modulated diffuse optical tomography.

Journal of the Optical Society of America. A, Optics, image science, and vision·2025
Same author

Reconstructing multiple initial pressure and speed of sound distributions simultaneously in photoacoustic tomography.

Photoacoustics·2025
Same author

On Learned Operator Correction in Inverse Problems.

SIAM journal on imaging sciences·2025
Same author

Stochastic Gauss-Newton method for estimating absorption and scattering in optical tomography with the Monte Carlo method for light transport.

Biomedical optics express·2024
Same author

Erratum: Acoustic pressure field estimation methods for synthethic schlieren tomography [J. Acoust. Soc. Am. 145, 2470-2479 (2019)].

The Journal of the Acoustical Society of America·2024
Same author

Single-stage approach for estimating optical parameters in spectral quantitative photoacoustic tomography.

Journal of the Optical Society of America. A, Optics, image science, and vision·2024

Related Experiment Video

Updated: Apr 23, 2026

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
09:02

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population

Published on: January 31, 2025

1.7K

Bayesian approximation error approach in full-wave ultrasound tomography.

Janne Koponen, Tomi Huttunen, Tanja Tarvainen

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |September 30, 2014
    PubMed
    Summary

    This study explores using approximate forward solvers in ultrasound tomography to speed up computations. The Bayesian approximation error approach effectively reduces reconstruction errors, improving imaging accuracy.

    More Related Videos

    Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System
    08:08

    Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System

    Published on: March 6, 2019

    4.4K
    Author Spotlight: Advancing Human Brain Modulation – Optimized Protocols for Transcranial Ultrasound Stimulation Experiments
    07:52

    Author Spotlight: Advancing Human Brain Modulation – Optimized Protocols for Transcranial Ultrasound Stimulation Experiments

    Published on: June 28, 2024

    2.4K

    Related Experiment Videos

    Last Updated: Apr 23, 2026

    Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
    09:02

    Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population

    Published on: January 31, 2025

    1.7K
    Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System
    08:08

    Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System

    Published on: March 6, 2019

    4.4K
    Author Spotlight: Advancing Human Brain Modulation – Optimized Protocols for Transcranial Ultrasound Stimulation Experiments
    07:52

    Author Spotlight: Advancing Human Brain Modulation – Optimized Protocols for Transcranial Ultrasound Stimulation Experiments

    Published on: June 28, 2024

    2.4K

    Area of Science:

    • Medical Imaging
    • Computational Physics
    • Acoustics

    Background:

    • Ultrasound tomography reconstructs speed of sound distributions from transient measurements.
    • Accurate forward problem computation is computationally intensive and often impractical.
    • Existing methods face challenges with discretization and absorbing boundary models.

    Purpose of the Study:

    • Investigate the feasibility of approximate forward solvers in ultrasound tomography.
    • Assess the Bayesian approximation error approach for mitigating reconstruction errors.
    • Reduce computational time while maintaining or improving image quality.

    Main Methods:

    • Employed the Bayesian approximation error approach to handle errors from approximate solvers.
    • Investigated errors arising from discretization and approximate absorbing boundary models.
    • Conducted numerical studies to evaluate computational time reduction and reconstruction accuracy.

    Main Results:

    • Achieved computational times approximately 3% of that required by accurate forward solvers.
    • Demonstrated that the Bayesian approximation error approach significantly improves reconstructions.
    • Successfully reduced reconstruction errors caused by approximate models.

    Conclusions:

    • The Bayesian approximation error approach is a feasible and effective method for ultrasound tomography.
    • This approach enables substantial reductions in computational time without compromising reconstruction quality.
    • It offers a practical solution for accelerating ultrasound tomography while enhancing accuracy.