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

You might also read

Related Articles

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

Sort by
Same author

Efficacy and safety of electrical cardioversion and catheter ablation during pregnancy: a case review and literature analysis.

Frontiers in cardiovascular medicine·2026
Same author

Macro- and micro-scale mechanical properties and energy evolution analysis during unidirectional freeze-thaw cycling of sandstone.

Scientific reports·2026
Same author

Identification of genes directly regulated by LvBlimp1 in shrimp macrophage-like phagocytes.

Developmental and comparative immunology·2026
Same author

LvBlimp1 and LvHes1 coregulate the function of macrophage-like phagocytes in shrimp hemolymph.

Fish & shellfish immunology·2026
Same author

Transcriptomic profiling and experimental validation of myeloid-cell-differentiation-related key genes in osteoarthritis.

Frontiers in genetics·2026
Same author

Damage characteristics and constitutive modeling of coal under real-time temperatures.

PloS one·2026

Related Experiment Video

Updated: Jun 24, 2025

Three-dimensional Optical-resolution Photoacoustic Microscopy
08:31

Three-dimensional Optical-resolution Photoacoustic Microscopy

Published on: May 3, 2011

18.2K

Model-based quantitative photoacoustic tomography with directional total variation.

Jiaming Liu1,2,3,4, Li Qi2,3,4, Yanqiu Feng1,2,3,4

  • 1Department of Radiology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, China.

Journal of Biophotonics
|June 12, 2024
PubMed
Summary

This study introduces a new directional total variation constrained optical inversion model for photoacoustic tomography (PAT). The method enhances absorption coefficient (AC) image quality by using anatomical priors to reduce artifacts and improve quantitative imaging accuracy.

Keywords:
absorption coefficientdirectional total variationphotoacoustic tomographyquantitative imaging

More Related Videos

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke
06:45

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Published on: June 2, 2023

1.3K
Photoacoustic Cystography
09:49

Photoacoustic Cystography

Published on: June 11, 2013

13.3K

Related Experiment Videos

Last Updated: Jun 24, 2025

Three-dimensional Optical-resolution Photoacoustic Microscopy
08:31

Three-dimensional Optical-resolution Photoacoustic Microscopy

Published on: May 3, 2011

18.2K
Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke
06:45

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Published on: June 2, 2023

1.3K
Photoacoustic Cystography
09:49

Photoacoustic Cystography

Published on: June 11, 2013

13.3K

Area of Science:

  • Medical Imaging
  • Biomedical Optics
  • Image Reconstruction

Background:

  • Photoacoustic tomography (PAT) enables quantitative imaging through acoustic and optical inversion.
  • Artifacts and noise in PAT degrade image quality and affect quantitative accuracy.
  • Current optical inversion methods struggle with limited detection angles and noise.

Purpose of the Study:

  • To develop an improved optical inversion model for photoacoustic tomography.
  • To enhance the quality and accuracy of absorption coefficient (AC) images reconstructed from PAT data.
  • To effectively suppress artifacts while preserving structural integrity in AC images.

Main Methods:

  • Proposed a directional total variation constrained optical inversion model.
  • Incorporated anatomical prior information into the inversion process.
  • Validated the method using simulations, phantom experiments, and in vivo studies.

Main Results:

  • The proposed method significantly improved the quality of reconstructed AC images.
  • Effective suppression of artifacts was achieved while maintaining image structural integrity.
  • Demonstrated superior performance compared to existing methods in simulation and experimental data.

Conclusions:

  • The directional total variation constrained optical inversion model offers a reliable approach for high-quality quantitative PAT.
  • Incorporating anatomical priors is crucial for robust artifact reduction in PAT image reconstruction.
  • This method lays the groundwork for more accurate and reliable quantitative photoacoustic imaging applications.