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

You might also read

Related Articles

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

Sort by

Same author

Changes in Visual Attention Patterns for Detection Tasks due to Dependencies on Signal and Background Spatial Frequencies.

ArXiv·2026

Same author

Predicting Region of Interest in Human Visual Search Based on Statistical Texture and Gabor Features.

ArXiv·2026

Same author

Assessment of Influencing Factors and Robustness of Computable Image Texture Features in Digital Images.

Tomography (Ann Arbor, Mich.)·2025

Same author

Transport-of-intensity model for single-mask x-ray differential phase contrast imaging.

Optica·2025

Same author

Image Texture Based Classification Methods to Mimic Perceptual Models of Search and Localization in Medical Images.

Proceedings of SPIE--the International Society for Optical Engineering·2025

Same author

Examining the influence of digital phantom models in virtual imaging trials for tomographic breast imaging.

Journal of medical imaging (Bellingham, Wash.)·2025

Same journal

From Geometry to Intensity: A Coarse-to-Fine Pipeline for Unsupervised 3D Ultrasound Stitching.

Proceedings of SPIE--the International Society for Optical Engineering·2026

Same journal

AVA: Automated Viewability Analysis for Ureteroscopic Intrarenal Surgery.

Proceedings of SPIE--the International Society for Optical Engineering·2026

Same journal

Kidney Endoscopy Video to Preoperative CT Alignment for Depth Estimation.

Proceedings of SPIE--the International Society for Optical Engineering·2026

Same journal

Deep learning‑based cell type prediction in lung tissue from brightfield histology using CODEX-derived labels.

Proceedings of SPIE--the International Society for Optical Engineering·2026

Same journal

Reconstructing physiological signals from fMRI across the adult lifespan.

Proceedings of SPIE--the International Society for Optical Engineering·2026

Same journal

Axially Swept Light-Sheet Microscopy using scattering and fluorescence contrast mechanisms.

Proceedings of SPIE--the International Society for Optical Engineering·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 16, 2025

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Errors Induced by Partial Pathlength Variations Due to Mammographic Compression in Dynamic Diffuse Optical Breast

Kaiser Niknam¹, Mannu Bardhan Paul², Anthony Donaldson¹

¹Department of Physics, University of Houston, Houston, TX.

Proceedings of Spie--The International Society for Optical Engineering

|April 2, 2025

Summary

This summary is machine-generated.

Continuous-wave near-infrared spectroscopic imaging (CW-NIRS) shows promise for breast cancer screening by detecting hemodynamic differences. This study investigates and corrects compression-induced errors in CW-NIRS measurements for improved accuracy.

Keywords:

Near-infrared diffuse imaging Near-infrared spectroscopic imaging breast imaging mammographic compression tissue optics

More Related Videos

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

Troubleshooting FoCUS Image Acquisition: Patient Positioning, Transducer Manipulation, and Image Optimization

Troubleshooting FoCUS Image Acquisition: Patient Positioning, Transducer Manipulation, and Image Optimization

Published on: March 3, 2023

Related Experiment Videos

Last Updated: May 16, 2025

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

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

Troubleshooting FoCUS Image Acquisition: Patient Positioning, Transducer Manipulation, and Image Optimization

Troubleshooting FoCUS Image Acquisition: Patient Positioning, Transducer Manipulation, and Image Optimization

Published on: March 3, 2023

Area of Science:

Biomedical Optics
Medical Imaging
Cancer Diagnostics

Background:

Current breast imaging methods have limitations.
Mammographic compression affects breast tissue hemodynamics differently in cancerous versus healthy tissue.
Continuous-wave near-infrared spectroscopic imaging (CW-NIRS) can leverage these hemodynamic differences for breast cancer screening.

Purpose of the Study:

To investigate the impact of breast compression on CW-NIRS measurements.
To quantify errors introduced by tissue displacement during compression.
To develop and validate methods for correcting these compression-induced errors in CW-NIRS data.

Main Methods:

Utilized simulations and experimental data to analyze errors in CW-NIRS.
Examined how errors vary with signal depth under breast compression.
Investigated specific correction techniques for NIRS measurements.

Main Results:

Breast compression introduces significant errors in CW-NIRS measurements due to tissue displacement.
The magnitude of these errors is dependent on signal depth.
Correction methods were explored to mitigate these errors.

Conclusions:

Compression-induced errors are a critical challenge for CW-NIRS breast cancer screening.
Understanding and correcting these errors is essential for accurate blood volume estimation.
This work provides a foundation for developing more robust CW-NIRS techniques for breast cancer detection.