Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Computed Tomography

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 Studies III: Computed Tomography

Imaging Studies III: Computed Tomography

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...

You might also read

Related Articles

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

Sort by

Same author

Achievement of Target Gain Larger than Unity in an Inertial Fusion Experiment.

Physical review letters·2024

Same author

Ramsey Spectroscopy of the 2S_{1/2} Hyperfine Interval in Atomic Hydrogen.

Physical review letters·2023

Same author

Improved Performance of Organic Thermoelectric Generators Through Interfacial Energetics.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2023

Same author

Lawson Criterion for Ignition Exceeded in an Inertial Fusion Experiment.

Physical review letters·2022

Same author

An electronic proton-trapping ion pump for selective drug delivery.

Science advances·2021

Same author

<i>Bacillus subtilis</i> DE111 intake may improve blood lipids and endothelial function in healthy adults.

Beneficial microbes·2020

Search research articles

Related Experiment Video

Updated: May 22, 2026

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

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

Published on: December 15, 2014

Non-linear inverse scattering: high resolution quantitative breast tissue tomography.

J Wiskin¹, D T Borup, S A Johnson

¹Department Bioengineering, WEB, South Central Campus Dr, Rm 2750, Salt Lake City, Utah 84112, USA. j.w.wiskin@gmail.com

The Journal of the Acoustical Society of America

|May 8, 2012

Summary

This study introduces a fully nonlinear ultrasound computed tomography algorithm for breast imaging, overcoming limitations of linearized methods. The novel approach provides quantitative in vivo estimates of human breast tissue, generating high-resolution images.

More Related Videos

A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells

A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells

Published on: August 22, 2025

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

Related Experiment Videos

Last Updated: May 22, 2026

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

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

Published on: December 15, 2014

A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells

A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells

Published on: August 22, 2025

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

Area of Science:

Medical Imaging
Biomedical Engineering
Computational Electromagnetics

Background:

Linearized and iteratively linearized algorithms struggle with moderate to high contrast inhomogeneities in inverse scattering problems.
Existing methods face challenges in accurately reconstructing images of biological tissues, particularly for breast imaging applications.

Purpose of the Study:

To present a fully nonlinear inverse scattering algorithm for ultrasound computed tomography.
To demonstrate the algorithm's capability in generating quantitative in vivo images of human breast tissue.
To address the limitations of previous linearized methods in imaging complex biological structures.

Main Methods:

Development and utilization of a fully nonlinear algorithm employing full wave field data.
Implementation of a functional minimization approach to fit predicted and measured data.
Description of a laboratory breast scanner and data collection process for in vivo imaging.

Main Results:

Successful generation of high-resolution ultrasound computed tomographic images of human breast tissue in vivo.
Quantitative estimates of breast tissue properties were obtained, showing improved accuracy over previous methods.
Demonstration of unique images measuring approximately 150 by 150 wavelengths using a 2D inverse scattering approach.

Conclusions:

The fully nonlinear inverse scattering algorithm effectively images human breast tissue in vivo.
This method overcomes the limitations of linearized algorithms for moderate to high contrast inhomogeneities.
The developed device and algorithm provide a promising tool for quantitative breast tissue assessment.