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Point-Of-Care Ultrasound Screening for Proximal Lower Extremity Deep Venous Thrombosis

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3D and multispectral imaging for subcutaneous veins detection.

Vincent C Paquit¹, Kenneth W Tobin, Jeffery R Price

¹Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.

|July 8, 2009

Summary

Automated intravenous (IV) catheter insertion systems use near-infrared (NIR) wavelengths to enhance vein visibility. This research identifies optimal NIR light for vein contrast, improving automated IV insertion accuracy across diverse skin tones and hair presence.

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Area of Science:

Medical Devices
Biomedical Engineering
Optical Imaging

Background:

Intravenous (IV) catheter insertion is a critical surgical step currently performed manually.
Future operating rooms envision automated systems for enhanced precision and efficiency.
Optimizing vein visualization is key for successful automated IV insertion.

Purpose of the Study:

To determine optimal near-infrared (NIR) wavelengths for maximizing vein contrast.
To address physiological variations like skin tone and hair presence affecting vein visibility.
To develop an automated system for IV catheter insertion.

Main Methods:

Utilized a mercury arc lamp coupled to a 10nm band-pass spectrometer for illumination.
Integrated a structured lighting system for 3D patient arm orientation data.
Captured images under various illuminant combinations and applied linear discriminant analysis to find optimal wavelengths.

Main Results:

Identified specific NIR wavelengths that significantly enhance vein contrast.
Demonstrated the system's ability to adapt to variations in skin tone and hair.
Validated the use of linear discriminant analysis for wavelength optimization.

Conclusions:

Optimal NIR wavelengths can be determined to improve vein contrast for automated IV insertion.
The developed multispectral system shows promise for enhancing automated medical procedures.
Further research can refine automated IV insertion technology for clinical application.