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Journal Article Needle Transportable Semi-Automatic Hair Follicle Implanter and Image-Based Hair Density Estimation for Advanced Hair Transplantation Surgery
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Authors
Bae Tae Wuk, 정용철, Kim Kyu Hyung
Issue Date
202006
Source
Applied Sciences, v.10 no.11, pp.1-18
ISSN
2076-3417
Publisher
MDPI
DOI
https://dx.doi.org/10.3390/app10114046
Project Code
20ZD1100, 대경권 지역산업 기반 ICT 융합기술 고도화 지원사업, Moon Ki Young
Abstract
As the number of hair follicles transplanted in a patient is approximately 2000 or more, hair transplantation by a manual implanter requires a considerable amount of time and money and demands a great amount of patience and pain tolerance from both patients and surgeons. In addition, many surgeons frequently experience musculoskeletal disorders owing to the numerous simple repetitive motions of the shoulder and wrist during the procedure. Moreover, the results of the surgery may vary depending on the skill of the surgeon. Although the hair follicle extraction technology has advanced in recent years, the hair follicle transplantation technology still uses a simple hand-held implanter owing to the diffculty of transplanting hair follicles and hair. In this study, a needle transportable semi-automatic hair follicle implanter that can continuously transplant hair follicles is introduced to alleviate the inconvenience of the existing manual implanter. In the developed semi-automatic implanter, a plurality of needles, into which the hair follicles are inserted, are sequentially supplied from the needle supply magazine to the implanter body by the guide groove. The hair follicles in the supplied needles are transplanted to the scalp through the forward and backward movement of the needle gripper and driving motors. The developed implanter can transplant several hair follicles without any replacement, which can shorten surgery time and reduce the fatigue experienced by patients and surgeons. The effectiveness of the proposed implanter was verified through the results of animal and clinical experiments.
KSP Keywords
Density estimation, Extraction technology, Forward and Backward, Guide groove, Hair follicle, Hand-held, Image-based, Musculoskeletal Disorders, Pain tolerance, Semi-Automatic, driving motors