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Letter

Photoacoustic Imaging as a Tool for Assessing Hair Follicular Organization

1
Nanoengineering Department, University of California-San Diego, La Jolla, CA 92093, USA
2
Bioengineering Department, University of California-San Diego, La Jolla, CA 92093, USA
3
Material Science and Engineering Program, University of California-San Diego, La Jolla, CA 92093, USA
4
Radiology Department, University of California-San Diego, La Jolla, CA 92093, USA
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(20), 5848; https://doi.org/10.3390/s20205848
Received: 21 September 2020 / Revised: 11 October 2020 / Accepted: 11 October 2020 / Published: 16 October 2020
Follicular unit extraction (FUE) and follicular unit transplantation (FUT) account for 99% of hair transplant procedures. In both cases, it is important for clinicians to characterize follicle density for treatment planning and evaluation. The existing gold-standard is photographic examination. However, this approach is insensitive to subdermal hair and cannot identify follicle orientation. Here, we introduce a fast and non-invasive imaging technique to measure follicle density and angles across regions of varying density. We first showed that hair is a significant source of photoacoustic signal. We then selected regions of low, medium, and high follicle density and showed that photoacoustic imaging can measure the density of follicles even when they are not visible by eye. We performed handheld imaging by sweeping the transducer across the imaging area to generate 3D images via maximum intensity projection. Background signal from the dermis was removed using a skin tracing method. Measurement of follicle density using photoacoustic imaging was highly correlated with photographic determination (R2 = 0.96). Finally, we measured subdermal follicular angles—a key parameter influencing transection rates in FUE. View Full-Text
Keywords: LED-based photoacoustic imaging; hair follicles; FUE; FUT LED-based photoacoustic imaging; hair follicles; FUE; FUT
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MDPI and ACS Style

Hariri, A.; Moore, C.; Mantri, Y.; Jokerst, J.V. Photoacoustic Imaging as a Tool for Assessing Hair Follicular Organization. Sensors 2020, 20, 5848. https://doi.org/10.3390/s20205848

AMA Style

Hariri A, Moore C, Mantri Y, Jokerst JV. Photoacoustic Imaging as a Tool for Assessing Hair Follicular Organization. Sensors. 2020; 20(20):5848. https://doi.org/10.3390/s20205848

Chicago/Turabian Style

Hariri, Ali, Colman Moore, Yash Mantri, and Jesse V. Jokerst. 2020. "Photoacoustic Imaging as a Tool for Assessing Hair Follicular Organization" Sensors 20, no. 20: 5848. https://doi.org/10.3390/s20205848

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