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

Computed Tomography01:10

Computed Tomography

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...
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...

You might also read

Related Articles

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

Sort by
Same author

Performance benchmarking of deep learning models for real-time median nerve segmentation and cross-sectional area measurement in ultrasound imaging.

Medical physics·2026
Same author

Rolling convolution filters for lightweight neural networks in medical image analysis.

Journal of medical imaging (Bellingham, Wash.)·2026
Same author

Characterizing and screening of wheat genotypes under salinity stress condition using thermography and multivariate techniques.

Scientific reports·2025
Same author

ISDU-QSMNet: Iteration Specific Denoising With Unshared Weights for Improved QSM Reconstruction.

NMR in biomedicine·2025
Same author

Unmasking the Hidden Threat: Conductive Under-Deposits and Their Role in Preferential Weldment Corrosion of Carbon Steel under Sour Conditions.

Langmuir : the ACS journal of surfaces and colloids·2025
Same author

Inference time correction based on confidence and uncertainty for improved deep-learning model performance and explainability in medical image classification.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2025
Same journal

Correction to "On the shape of the radiation survival curve in tumor spheroids: The role of oxygen heterogeneity".

Medical physics·2026
Same journal

Multi-view constrained semi-supervised vertebra detection for 3D ultrasound spine volume.

Medical physics·2026
Same journal

Accuracy of quantitative <sup>177</sup>Lu SPECT/CT imaging: A systematic review.

Medical physics·2026
Same journal

Physics-constrained dual-domain network for CBCT reconstruction from orthogonal X-rays in gynecologic radiotherapy.

Medical physics·2026
Same journal

Decomposition-based harmonization for quantitative PET imaging across scanners and radiotracers.

Medical physics·2026
Same journal

Development and evaluation of an in vivo dose-based monitoring system for electron FLASH radiation therapy.

Medical physics·2026
See all related articles

Related Experiment Video

Updated: Jun 16, 2026

Near Infrared Optical Projection Tomography for Assessments of &beta;-cell Mass Distribution in Diabetes Research
15:18

Near Infrared Optical Projection Tomography for Assessments of β-cell Mass Distribution in Diabetes Research

Published on: January 12, 2013

Singular value decomposition based computationally efficient algorithm for rapid dynamic near-infrared diffuse

Saurabh Gupta1, Phaneendra K Yalavarthy, Debasish Roy

  • 1Department of Instrumentation, Indian Institute of Science, Bangalore 560 012, India.

Medical Physics
|January 26, 2010
PubMed
Summary
This summary is machine-generated.

A new singular value decomposition (SVD)-based algorithm offers computationally efficient image reconstruction for rapid dynamic near-infrared (NIR) diffuse optical tomography. This method improves speed and feasibility for clinical monitoring of tissue pathophysiology.

More Related Videos

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging
06:48

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging

Published on: June 7, 2024

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions
13:43

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

Published on: June 24, 2013

Related Experiment Videos

Last Updated: Jun 16, 2026

Near Infrared Optical Projection Tomography for Assessments of &beta;-cell Mass Distribution in Diabetes Research
15:18

Near Infrared Optical Projection Tomography for Assessments of β-cell Mass Distribution in Diabetes Research

Published on: January 12, 2013

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging
06:48

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging

Published on: June 7, 2024

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions
13:43

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

Published on: June 24, 2013

Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Computational Science

Background:

  • Near-infrared (NIR) diffuse optical tomography (DOT) is a non-invasive imaging technique.
  • Accurate and rapid image reconstruction is crucial for dynamic monitoring of physiological changes.

Purpose of the Study:

  • To develop a computationally efficient algorithm for rapid dynamic NIR diffuse optical tomography.
  • To utilize singular value decomposition (SVD) of the Jacobian for image reconstruction.

Main Methods:

  • Developed a linear iterative algorithm based on SVD of the Jacobian.
  • Conducted numerical and experimental studies to validate computational efficacy.
  • Compared SVD-based algorithm performance against conventional optical image reconstruction methods.

Main Results:

  • The SVD-based algorithm demonstrates superior computational efficiency (O(NN2) operations) compared to linear (O(NN3)) and nonlinear (O(NN6)) iterative methods.
  • Linear iterative algorithms, including the SVD-based one, show better contrast recovery than nonlinear methods with a good initial guess.
  • Analytical and numerical equivalence between the SVD-based and linear iterative algorithms was established.

Conclusions:

  • The developed SVD-based algorithm enhances computational efficiency for NIR DOT.
  • This efficiency facilitates the integration of image reconstruction with data acquisition, enabling rapid dynamic imaging.
  • The algorithm makes continuous hemodynamic monitoring in clinical settings more viable for tissue pathophysiology assessment.