Design and Implementation of an Image Processing System and Mathematical Optimization Algorithms for Human Hair Follicle Transplantation Using the FUE Technique
June 2016
TLDR The document concludes that the FOLLYSIS© system improves hair transplant processes and patient monitoring with high accuracy and less skin trauma.
The document from 2016 detailed the creation of an image processing system and mathematical optimization algorithms for human hair follicle transplantation using the Follicular Unit Extraction (FUE) technique. The study introduced FOLLYSIS©, a system that allows doctors to archive patient data, use digital trichoscopy, design personalized treatment plans, record follow-ups, and quantify patient results. The system's accuracy was evaluated in 56 micro-photographs from different patients, achieving a sensitivity of 97.5% and an accuracy of 98.6%. It also demonstrated a significant reduction in skin trauma with the Vertical Extraction technique compared to Acute Extraction. FOLLYSIS© showed promise for diagnosing, treating, and monitoring patient progress, providing automated measurements of hair density changes and recording significant scalp sizes.