کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
504030 864261 2015 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Machine learning-based augmented reality for improved surgical scene understanding
ترجمه فارسی عنوان
یادگیری ماشین مبتنی بر واقعیت افزوده برای بهبود درک صحنه جراحی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی

In orthopedic and trauma surgery, AR technology can support surgeons in the challenging task of understanding the spatial relationships between the anatomy, the implants and their tools. In this context, we propose a novel augmented visualization of the surgical scene that mixes intelligently the different sources of information provided by a mobile C-arm combined with a Kinect RGB-Depth sensor. Therefore, we introduce a learning-based paradigm that aims at (1) identifying the relevant objects or anatomy in both Kinect and X-ray data, and (2) creating an object-specific pixel-wise alpha map that permits relevance-based fusion of the video and the X-ray images within one single view. In 12 simulated surgeries, we show very promising results aiming at providing for surgeons a better surgical scene understanding as well as an improved depth perception.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computerized Medical Imaging and Graphics - Volume 41, April 2015, Pages 55–60
نویسندگان
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