- Poster presentation
- Open Access
Optical measurement of skin temperature in MR-HIFU
© Yang et al; licensee BioMed Central Ltd. 2015
- Published: 30 June 2015
- Liquid Crystal
- Skin Temperature
- Nematic Liquid Crystal
- Surface Skin Temperature
- HIFU Treatment
MR-guided high-intensity focused ultrasound (MR-HIFU) treatments may cause skin heating in the vicinity of the treatment site. Current MR thermometry methods do not provide reliable measurements of skin temperature either during the sonication or during the cool-down periods between sonications. These technical challenges require additional pauses to decrease the likelihood of skin burns, thus impacting treatment duration. Therefore, quantitative, accurate, and rapid techniques are needed to measure surface skin temperature during HIFU treatment. This study aims to develop an optical method that detects temperature changes at the skin surface to maintain a safe skin temperature during treatment and to reduce pauses between sonications.
Chiral nematic liquid crystal slurry (LCR Hallcrest, LLC, Glenview, IL, #09-NSL33), which displays a change in reflected light color between 25-30°C was mixed with 0.4% w/v agarose gel at 80-85°C to create a 4 mL mixture of 10% liquid crystal slurry.
The mixture was poured onto a black-painted glass microscope slide and then covered with another glass slide (gel thickness = 0.5mm). Nickel-plated steel wire (220μm-thick) was used to heat the slide. Electrical current through the wire was adjusted to ensure a steady-state gradient across the glass slide that spanned from below 25°C to above 30°C. Color change of the liquid crystal gel layer was imaged using a DSLR camera and a stable light source placed at a 57° angle. A 0.2-mm diameter thermocouple (Omega Engineering, Inc., Stamford, CT, USA) sampled temperature at different distances from the heating wire to measure the temperature gradient. Local pixel color intensities around the thermocouple tip were isolated and spatially matched with measured temperatures using a custom MATLAB routine (Mathworks, Inc., Naticks, MA, USA). Multivariate polynomial regression was performed on the data to determine temperature as a function of red, green, and blue intensities (3rd order polynomials used for each).
Funding was provided by the Sheikh Zayed Institute for Pediatric Surgical Innovation at Children’s National Medical Center and the Princeton Internships in Civic Service program.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.