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

Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

236
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
236
Computed Tomography01:10

Computed Tomography

7.9K
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...
7.9K

You might also read

Related Articles

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

Sort by
Same author

Optic Nerve Sheath Diameter and Transcranial Doppler Pulsatility Index for Non-Invasive ICP Assessment in Acute Intracerebral Hemorrhage.

Brain sciences·2026
Same author

The Structure of Zinc Chelidonate in the Crystalline Phase, Aqueous Solution and Assessment of the Interaction with Serum Albumin.

Molecules (Basel, Switzerland)·2026
Same author

Lung adenocarcinoma cells respond differently to mechanical stress in 3D versus 2D environments.

Communications biology·2025
Same author

Four New Compounds From Lactuca indica That Inhibit Nitric Oxide Production.

Chemistry & biodiversity·2025
Same author

Reduced model aided fluid-structure interaction design framework for shunt systems.

Medical engineering & physics·2025
Same author

Nitidine Isolated from the Bark of Zanthoxylum myriacanthum and its Effects on NTERA-2 Cancer Stem Cells.

Planta medica·2025
Same journal

Multi-Scale convolutional neural networks integrated with self-attention for motor imagery EEG decoding.

Biomedical engineering letters·2026
Same journal

Low-power analog and mixed-signal circuit techniques for next-generation miniature implantable neural interface systems.

Biomedical engineering letters·2026
Same journal

Advances in semiconductor materials and device architectures for biomedical systems: a mini review.

Biomedical engineering letters·2026
Same journal

A Multi-perception fusion using shared-control method for brain-mobile robot.

Biomedical engineering letters·2026
Same journal

SSA-DCNet: a cross-session MI-EEG classification network based on deformable convolution and spatial-shift attention.

Biomedical engineering letters·2026
Same journal

Advanced silicon nanomembrane based bioelectronics for flexible and stretchable implantable systems.

Biomedical engineering letters·2026
See all related articles

Related Experiment Video

Updated: Jan 2, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

23.0K

Tomographic density imaging using modified DF-DBIM approach.

Tran Quang Huy1, Nguyen Thi Cuc2, Van Dung Nguyen3

  • 11Faculty of Physics, Hanoi Pedagogical University 2, Nguyen Van Linh Street, Xuan Hoa Ward, Phuc Yen Town, Vinh Phuc Province Vietnam.

Biomedical Engineering Letters
|December 5, 2019
PubMed
Summary
This summary is machine-generated.

Ultrasonic computed tomography using the duple-frequency distorted Born iterative method (DF-DBIM) enhances imaging of biological tissues. Optimizing parameters like iteration numbers significantly improves reconstruction quality and reduces error by 56.11%.

Keywords:
Density imagingDistorted Born iterative method (DBIM)Duple frequency (DF)Inverse scatteringUltrasound tomography

More Related Videos

Near Infrared Optical Projection Tomography for Assessments of β-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

16.8K
Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

26.8K

Related Experiment Videos

Last Updated: Jan 2, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

23.0K
Near Infrared Optical Projection Tomography for Assessments of β-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

16.8K
Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

26.8K

Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Computational Physics

Background:

  • Ultrasonic computed tomography (UCT) offers powerful, quantitative imaging by detecting small targets.
  • The distorted Born iterative method (DBIM) is a key UCT approach, but its effectiveness can be enhanced.
  • Imaging biological tissues requires methods that balance resolution and convergence.

Purpose of the Study:

  • To analyze the impact of duple-frequency fusion on image reconstruction quality in ultrasound tomography.
  • To identify optimal parameters for the duple-frequency distorted Born iterative method (DF-DBIM) for improved UCT.
  • To enhance the reconstruction of density and sound contrast for biological tissue imaging.

Main Methods:

  • Implementation of the duple-frequency distorted Born iterative method (DF-DBIM) using two frequencies (f1, f2) and distinct iteration counts (N1, N2).
  • Systematic analysis of parameter selection, focusing on iteration numbers and transducer configurations for simulated scenarios.
  • Comparative evaluation against single-frequency DBIM to quantify improvements in image reconstruction.

Main Results:

  • The DF-DBIM method demonstrates superior performance compared to single-frequency DBIM when optimal parameters are selected.
  • A fixed sum of iterations (N = N1 + N2) with an optimal split (N1=10, N2=4) yielded the best results.
  • Parameter optimization led to a significant 56.11% reduction in reconstruction error.

Conclusions:

  • Duple-frequency fusion in DF-DBIM effectively improves ultrasound tomography image reconstruction quality for biological tissues.
  • Careful selection of iteration numbers and transducer configurations is crucial for maximizing DF-DBIM performance.
  • This optimized DF-DBIM technique shows promise for expanding the applicability of ultrasound tomography in biological applications.