{"title":"Development and evaluation of an integrated image-guided robotic system for hair transplant surgery","authors":"Rattapon Thuangtong, Ornpreeya Anantawilailekha, Ponchita Prasertsin, Jackrit Suthakorn","doi":"10.1016/j.csbj.2025.02.009","DOIUrl":null,"url":null,"abstract":"<div><div>This study presented the development and evaluation of an integrated image-guided robotic system for hair transplant surgery. A novel surgical robot was designed, incorporating an image-guided system, a dual-function needle mechanism, and a comprehensive robotic system capable of performing both follicle harvesting and implantation in a unified setup. The robot comprised three main subsystems: the image-guidance system, the dual-function needle, and the robotic hardware. Each subsystem was meticulously developed and individually described, detailing the specific processes and mechanisms involved. Experimentation involved a silicone phantom embedded with filaments to mimic real human hair density, providing a realistic simulation for testing. The image-guided system demonstrated high precision in detecting the positions of hair follicles, achieving an accuracy rate of 89 %. Meanwhile, the dual-function needle proved effective in executing both the harvesting and implanting functions, achieving harvest and implant success rates of 83.3 % and 53.3 %, respectively. It was important to note, however, that the suction system integrated into the needle mechanism did not function as intended. Further simulations conducted on the robotic system affirmed its suitability for a wide range of head sizes, specifically those with a breadth diameter between 113 and 179 mm, effectively encompassing most of the Asian demographic. This integration of advanced robotics and image-guidance aimed to enhance the efficacy and precision of hair transplant procedures.</div></div>","PeriodicalId":10715,"journal":{"name":"Computational and structural biotechnology journal","volume":"28 ","pages":"Pages 80-93"},"PeriodicalIF":4.4000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational and structural biotechnology journal","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2001037025000352","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This study presented the development and evaluation of an integrated image-guided robotic system for hair transplant surgery. A novel surgical robot was designed, incorporating an image-guided system, a dual-function needle mechanism, and a comprehensive robotic system capable of performing both follicle harvesting and implantation in a unified setup. The robot comprised three main subsystems: the image-guidance system, the dual-function needle, and the robotic hardware. Each subsystem was meticulously developed and individually described, detailing the specific processes and mechanisms involved. Experimentation involved a silicone phantom embedded with filaments to mimic real human hair density, providing a realistic simulation for testing. The image-guided system demonstrated high precision in detecting the positions of hair follicles, achieving an accuracy rate of 89 %. Meanwhile, the dual-function needle proved effective in executing both the harvesting and implanting functions, achieving harvest and implant success rates of 83.3 % and 53.3 %, respectively. It was important to note, however, that the suction system integrated into the needle mechanism did not function as intended. Further simulations conducted on the robotic system affirmed its suitability for a wide range of head sizes, specifically those with a breadth diameter between 113 and 179 mm, effectively encompassing most of the Asian demographic. This integration of advanced robotics and image-guidance aimed to enhance the efficacy and precision of hair transplant procedures.
期刊介绍:
Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to:
Structure and function of proteins, nucleic acids and other macromolecules
Structure and function of multi-component complexes
Protein folding, processing and degradation
Enzymology
Computational and structural studies of plant systems
Microbial Informatics
Genomics
Proteomics
Metabolomics
Algorithms and Hypothesis in Bioinformatics
Mathematical and Theoretical Biology
Computational Chemistry and Drug Discovery
Microscopy and Molecular Imaging
Nanotechnology
Systems and Synthetic Biology