2019英特尔ISEF学科最佳作品摘要：生物医学工程 | Best of Category Abstract: BIOMEDICAL ENGINEERING
获奖作品基本信息
| 年份 | 2019 |
| 学科 | 生物医学工程 BIOMEDICAL ENGINEERING |
| 国家/州 | CO，United States of America |
获奖作品名称
Utilizing Computer Vision and Machine Learning Systems to Develop a Live Time Navigational and Surgical Aid for Spinal Reconstructions
获奖作品摘要
The existing navigational system for spinal reconstructions called fluoroscopy presents significant visual and physiological disadvantages. Fluoroscopy has a limited field of view of the spinal column and emits a significant amount of radiation that affects the patient and the surgical team. Implementation of a machine learning (ML) and computer vision based navigational system eliminates these risks. An augmented reality headset, gives the surgeon the ability to see the real-world and pertinent medical data. These data were parsed through ML algorithms that mapped the spinal column, suggested the best approach, and would guide the surgeon in real-time. The project was tested in two phases: algorithmic and real-world viability. Algorithmically, the performance was measured by training and testing over 2,000 patient’s publicly available CT and MRI scans. The data were used to build and predict spine structures and behavior. The real-world testing was conducted through an augmented reality headset and data was validated post-operatively from 34 observed surgeries. Algorithmic performance measured found that the algorithm created a map of the spine within 88 seconds with 98.6% accuracy. The real-world testing found that the headset was able to map the vertebrae and suggest the correct approach 96.6% of the time within 1.33 mm accuracy of the true values. The data suggest that the developed navigational system would be a pragmatic and economically viable replacement for fluoroscopy. The easily integratabtle and mobile nature of the diagnostic device makes it viable in both medical centers as well as remote locations (i.e. war zones and developing regions).
ISEF 简介
英特尔国际科学与工程大奖赛，简称 "ISEF"，由美国 Society for Science and the Public（科学和公共服务协会）主办，英特尔公司冠名赞助，是全球规模最大、等级最高的中学生的科研科创赛事。ISEF 的学术活动学科包括了所有数学、自然科学、工程的全部领域和部分社会科学。ISEF 素有全球青少年科学学术活动的“世界杯”之美誉，旨在鼓励学生团队协作，开拓创新，长期专一深入地研究自己感兴趣的课题。
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· 数学 · 物理 · 化学 · 生物 · 计算机 · 工程 ·
学科简介：生物医学工程 BIOMEDICAL ENGINEERING
Projects that involve the application of engineering principles and design concepts to medicine and biology for healthcare purposes including diagnosis, monitoring and therapy. Prominent biomedical engineering applications include the development of biocompatible prostheses, various diagnostic and therapeutic medical devices ranging from clinical equipment to micro-implants, common imaging equipment such as MRIs and EEGs, regenerative tissue growth, pharmaceutical drugs and therapeutic biologicals.
Subcategories:
Biomaterials and Regenerative Medicine (BMR): These studies involve the creation or use of biomaterials or biocompatible materials to construct a whole or a part of a living structure. These studies can include scaffolds for recruiting or supporting regenerative cells or tissues or the engineering designs for creating the correct environment for regenerative growth.
Biomechanics (BIE): Studies that apply classical mechanics (statics, dynamics, fluids, solids, thermodynamics, and continuum mechanics) to understand the function of biological tissues, organs, and systems and solve biological or medical problems. It includes the study of motion, material deformation, flow within the body and in devices, and transport of chemical constituents across biological and synthetic media and membranes.
Biomedical Devices (BDV): The study and/or construction of an apparatus that use electronics and other measurement techniques to diagnose, prevent and/or treat diseases or other conditions within or on the body.
Biomedical Imaging (IMG): The study and/or construction of an apparatus or technique that combines knowledge of a unique physical phenomenon (sound, radiation, magnetism, etc) with high speed electronic data processing, analysis and display to generate an image to support biomedical advances and procedures.
Cell and Tissue Engineering (CTE): Studies that utilize the anatomy, biochemistry and mechanics of cellular and sub-cellular structures in order to understand disease processes and to be able to intervene at very specific sites.
Synthetic Biology (SYN): Studies that involve the design and construction of new biological parts, devices and systems. Such studies include biological circuit design, genetic circuits, protein engineering, nucleic acid engineering, rational design, directed evolution and metabolic engineering.
OTH Other (OTH): Studies that cannot be assigned to one of the above subcategories. If the project involves multiple subcategories, the principal subcategory should be chosen instead of Other.
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