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 Experiment Video

Updated: Jun 23, 2026

Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy
09:25

Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy

Published on: August 22, 2018

Scattering and absorption transport sensitivity functions for optical tomography.

O Dorn

    Optics Express
    |May 2, 2009
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

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

    Sort by
    Same author

    3D level set reconstruction of model and experimental data in Diffuse Optical Tomography.

    Optics express·2010
    Same author

    Reconstructing absorption and diffusion shape profiles in optical tomography by a level set technique.

    Optics letters·2006
    See all related articles

    Optical tomography uses transport sensitivity functions to model inverse problems. This research reveals how these functions enable efficient data backprojection, similar to X-ray tomography, for improved imaging.

    Area of Science:

    • Medical Imaging
    • Computational Physics
    • Inverse Problems

    Background:

    • Optical tomography reconstructs internal properties using light measurements.
    • It is often formulated as an inverse problem involving the transport equation.
    • Understanding sensitivity is crucial for accurate image reconstruction.

    Purpose of the Study:

    • To model optical tomography as an inverse problem using the time-dependent linear transport equation.
    • To decompose the residual operator into absorption and scattering transport sensitivity functions.
    • To interpret the adjoint linearized residual operator and the backtransport procedure.

    Main Methods:

    • Decomposition of the linearized residual operator.
    • Analysis of absorption and scattering transport sensitivity functions.

    More Related Videos

    Scattering And Absorption of Light in Planetary Regoliths
    11:34

    Scattering And Absorption of Light in Planetary Regoliths

    Published on: July 1, 2019

    Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis
    10:35

    Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis

    Published on: October 17, 2016

    Related Experiment Videos

    Last Updated: Jun 23, 2026

    Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy
    09:25

    Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy

    Published on: August 22, 2018

    Scattering And Absorption of Light in Planetary Regoliths
    11:34

    Scattering And Absorption of Light in Planetary Regoliths

    Published on: July 1, 2019

    Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis
    10:35

    Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis

    Published on: October 17, 2016

  • Interpretation of the adjoint linearized residual operator and backtransport procedure.

    • Main Results:

    • The adjoint linearized residual operator is analogous to the backprojection operator in X-ray tomography.
    • Absorption and scattering transport sensitivity functions define the backprojection patterns.
    • The backtransport procedure offers an efficient method for simultaneous residual backprojection.

    Conclusions:

    • Transport sensitivity functions provide a unified framework for understanding optical tomography.
    • The adjoint operator and backtransport procedure offer computational advantages for image reconstruction.
    • Numerical examples demonstrate the utility of these functions, including for complex scenarios like voids.