4D Shape and Strain Tissue Mapping

描述（来自申请人摘要）： 在静态（3D）或动态（4D）条件下，生物样本和生物材料的精确，快速和方便的形状和应变映射对于生物医学和生物力学研究至关重要。一种研究人员建立的仪器已被证明是只有轻微足够的非常选择的应用程序，与实验室之间的转移很少。因此，重要的生物医学问题没有得到解决。 Vision Inc.将通过提供交钥匙仪器来改善这一生物医学研究瓶颈，该仪器可以精确快速地测量三维动态形状和应变。这种创新的仪器将加强科学基础设施，加快生物医学工程的突破。将加强当代生物假体植入行业和新兴组织工程行业的制造过程控制和质量保证。因此，该项目是响应行政命令13329鼓励创新的制造相关的研究和开发的SBIR计划。 在第1阶段，将开发一种光学传感器，使用Vision公司经过验证的BioSpecVT形状映射器平台，以执行动态三维形状和应变映射。传感器的测试将被执行，以证明同时获得形状和应变测量瞬间的可行性。我们还将证明，应变可以映射经验与数值方法，不依赖于强加的数学表面形状的假设。在第二阶段，我们将：开发自动化应变绘图的软件方法，加上各种参考标记方法，并在贝勒医学院放置一台测试仪器，以验证仪器在生物工程实验室环境中的性能。

DESCRIPTION (from the applicant's abstract): The precise, rapid, and convenient shape and strain mapping of biological specimens and biomaterials, under either static (3D) or dynamic (4D) conditions, is essential to biomedical and biomechanical investigations. One of a kind investigator built instrumentation has proven to be only marginally adequate for very select applications, with little transfer between laboratories. Consequently, important biomedical questions are going unaddressed. Vision Metrics, Inc. will ameliorate this biomedical research bottleneck by providing turnkey instrumentation that can precisely and rapidly measure dynamic shape and strain in three dimensions. This innovative instrumentation will bolster the scientific infrastructure and expedite biomedical engineering breakthroughs. Manufacturing process control and quality assurance in both the contemporary bioprosthetic implant industry and the emerging tissue engineering industry will be strengthened. Accordingly, this project is responsive to Executive Order 13329 encouraging innovation in manufacturing-related research and development for the SBIR program. In Phase 1 an optical sensor, using Vision Metrics' proven BioSpecVT shape mapper platform, will be developed to perform dynamic 3-dimensional shape and strain mapping. Tests of the sensor will be performed to demonstrate the feasibility of acquiring simultaneous shape and strain measurements instantaneously. We will also demonstrate that strain can be mapped empirically with numeric methods that do not rely on imposed mathematical surface shape assumptions. In Phase 2 we will: develop software methods for automating strain mapping coupled with diverse reference marking methods and place a beta site instrument at the Baylor College of Medicine in order to validate the instrument's performance in a bioengineering laboratory environment.