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Ultrasonography

Ultrasonography

Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called...

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Updated: Dec 17, 2025

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis

Published on: February 6, 2020

Flexible ultrasonic array for breast-cancer diagnosis based on a self-shape-estimation algorithm.

Junjie Chang¹, Zhiheng Chen², Yuqiao Huang²

¹Key Lab of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang 330063, China; Yangtze Delta Region Institute of Tsinghua University, Zhejiang 314000, China; Japan Probe, 1-1-14 Nakamura Chou, Minami Ward, Yokohama City, Kanagawa Prefecture 2320033, Japan.

|June 26, 2020

Summary

This summary is machine-generated.

This study introduces a novel flexible ultrasonic array and mathematical model for non-compressive breast cancer diagnosis. This new method accurately images breast tumors, offering a less painful and more effective diagnostic tool.

Keywords:

Breast cancer Flexible ultrasound transducer Image post-processing Self-shape estimation

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Ultrasonographic Evaluation of Breast Cancer-related Lymphedema

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Published on: January 12, 2017

Area of Science:

Medical Imaging
Biomedical Engineering
Oncology

Background:

Breast cancer is a prevalent malignancy, often diagnosed using mammography or traditional ultrasound.
Conventional ultrasound methods employ fixed transducer arrays, which can cause patient discomfort and mass displacement due to applied pressure.
There is a clinical need for non-compressive breast cancer diagnostic techniques.

Purpose of the Study:

To develop and validate a novel ultrasound-based method for breast cancer diagnosis that eliminates the need for physical compression.
To introduce a flexible ultrasonic array and a mathematical model for accurate breast tumor imaging.
To evaluate the performance of a self-shape-estimation algorithm for generating 2D ultrasound images of breast cancer.

Main Methods:

Utilized a flexible ultrasonic array to acquire ultrasound data from breast masses.
Developed a mathematical model tailored for breast cancer diagnosis using ultrasound data.
Implemented a self-shape-estimation algorithm to reconstruct 2D ultrasound images.
Validated the algorithm using simulated data and experimental data from a breast cancer model.

Main Results:

The developed method successfully generated 2D ultrasound images of breast cancer without compression.
Numerical simulations showed a surface-shape error of less than 0.8 mm.
The estimated mass position deviation was less than 1.24 mm in simulations.
Experimental validation confirmed the ability to determine tumor location in a breast cancer model.

Conclusions:

The proposed flexible ultrasonic array and self-shape-estimation algorithm provide a viable approach for non-compressive breast cancer diagnosis.
This innovative technique offers a new, potentially more comfortable, and accurate diagnostic tool for breast cancer.
The findings suggest a significant advancement in ultrasound-based breast cancer detection methods.