کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
504759 864429 2016 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Image-guided automatic triggering of a fractional CO2 laser in aesthetic procedures
ترجمه فارسی عنوان
تحریک اتوماتیک لیزر CO2 فراکشنال با هدایت تصویر در روش های زیبایی شناسی
کلمات کلیدی
لیزر مفعول؛ تحریک خودکار لیزری ؛ لیزر CO2. پردازش تصویر
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی

BackgroundLaser procedures in dermatology and aesthetic medicine are associated with the need for manual laser triggering. This leads to pulse overlapping and side effects.MethodsAutomatic laser triggering based on image analysis can provide a secure fit to each successive doses of radiation. A fractional CO2 laser was used in the study. 500 images of the human skin of healthy subjects were acquired.Automatic triggering was initiated by an application together with a camera which tracks and analyses the skin in visible light. The tracking algorithm uses the methods of image analysis to overlap images. After locating the characteristic points in analysed adjacent areas, the correspondence of graphs is found. The point coordinates derived from the images are the vertices of graphs with respect to which isomorphism is sought. When the correspondence of graphs is found, it is possible to overlap the neighbouring parts of the image.ResultsThe proposed method of laser triggering owing to the automatic image fitting method allows for 100% repeatability. To meet this requirement, there must be at least 13 graph vertices obtained from the image. For this number of vertices, the time of analysis of a single image is less than 0.5 s.ConclusionsThe proposed method, applied in practice, may help reduce the number of side effects during dermatological laser procedures resulting from laser pulse overlapping. In addition, it reduces treatment time and enables to propose new techniques of treatment through controlled, precise laser pulse overlapping.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Biology and Medicine - Volume 76, 1 September 2016, Pages 1–6
نویسندگان
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