Dynamic facial soft tissue analysis system.

动态面部软组织分析系统。

• 批准号: 8539589
• 负责人: CARROLL ANN TROTMAN
• 金额: $ 31.84万
• 依托单位: 3DMD, LLC
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8539589
• 关键词: Affect; Age; Algorithms; Birth; Cicatrix; Cleaved cell; Cleft Lip; Cleft Palate; Clinical; Clinical Trials; Computer software; Congenital Abnormality; Data; Databases; Deformity; Dental; Dentists; Development; Diagnosis; Diagnostic; Esthetics; Face; Foundations; Gender; Generations; Goals; Healed; Image; Impairment; Industry; Life; Lip structure; Measurement; Measures; Medical; Motion; Movement; National Institute of Dental and Craniofacial Research; Nervous System Trauma; Nose; Operative Surgical Procedures; Outcome; Outcome Assessment; Outcome Measure; Outcomes Research; Patient Outcomes Assessments; Patients; Phase; Production; Research; Resolution; Shapes; Small Business Technology Transfer Research; Surface; Surgeon; System; Systems Analysis; Technology; Test Result; Training; Training and Education; animation; base; cleft lip and palate; cost; dentofacial; disability; evidence base; experience; healing; improved; movie; novel; programs; prototype; reconstruction; repaired; simulation; soft tissue; software development; technology development; tool; treatment planning; user-friendly

DESCRIPTION (provided by applicant): The primary goal of this Phase II STTR application is to complete the development of a landmark-free quantitative 4D facial analysis system for static analyses (completed in Phase I) and dynamic analyses of soft tissue movement (planned for Phase II). The potential target applications are wide-ranging-facial recognition for identification simulation for training and educational purposes; the animation industry for movies; and medical diagnosis, treatment planning, and outcome assessment for patients with congenital abnormalities, dentofacial disharmonies, facial trauma, and neurological problems. These patients have facial disabilities and require treatment to improve their facial soft tissue esthetis and movement. They would benefit greatly from objective measures and facial feature/landmark analysis to assist doctors in determining their treatment plan. We have extensive experience with dynamic objective measures due to an ongoing NIDCR clinical trial to examine the effects of surgery on circumoral function in patients with cleft lip and palate (CL/P). 3dMD and Dr. Trotman will use patients with CL/P for the 'proof of concept' and technology development proposed here. Moreover, in Phase I, 'proof of concept' was completed that led to the development of novel software for automated 3D assessment of facial soft tissues under STATIC conditions. The Phase II extends the technology for automated 4D assessment of dynamic facial soft tissue movements. The Phase II Specific Aims are as follows. 1) To collect age- and gender-stratified 4D dynamic facial images taken at 60 frames per second from patients with CL/P and control subjects with no known facial problems. From these images, validate algorithms that will enable differentiation between patients with impaired movement and normal 'non-impaired' subjects. 2) To extend the surface extraction algorithms and software developed in Phase I of the program to the automatic extraction of facial features from 4D dynamic images 3) To refine the development of 3dMD's 4D Dynamic Face capture system for analysis of dynamic surface movement and to evaluate the system for use in a clinical setting. Ultimately, a practical tool for use in dental treatment and facial reconstruction will be develope to provide dentists and surgeons with an objective standard by which to predict soft tissue outcomes and guide and assess treatment.

描述（由申请人提供）：此II期STTR应用的主要目标是完成无里程碑的定量4D面部分析系统，用于静态分析（在I期完成）和软组织运动的动态分析（计划用于II期）。潜在的目标应用是用于识别培训和教育目的的识别模拟的广泛识别；电影的动画行业；以及对先天性异常，牙本质不和谐，面部创伤和神经系统问题的患者的医学诊断，治疗计划和结果评估。这些患者患有面部残疾，需要治疗以改善其面部软组织美食和运动。他们将从客观的措施和面部特征/地标分析中受益匪浅，以帮助医生确定其治疗计划。由于正在进行的NIDCR临床试验，我们在动态客观测量方面具有丰富的经验，以检查手术对唇裂和pa裂患者周围功能的影响（CL/P）。 3DMD和Trotman博士将在此处提出的“概念证明”和技术发展。此外，在第一阶段，“概念证明”完成了，从而开发了新型软件，用于在静态条件下对面部软组织进行自动化的3D评估。 II期扩展了对动态面部软组织运动的自动4D评估的技术。 II期特定目标如下。 1）收集Cl/P患者的年龄和性别分层的4D动态面部图像，每秒以60帧的速度和没有已知面部问题的对照受试者的患者收集60帧。从这些图像中，验证算法将使运动受损和正常“不受影响”受试者的患者分化。 2）为了扩展程序的第一阶段提取算法和软件，以自动从4D动态图像中自动提取面部特征3），以完善3DMD的4D动态面部捕获系统的开发，以分析动态表面运动并评估系统在临床环境中的使用。最终，用于牙科治疗和面部重建的实用工具将是为牙医和外科医生提供一个客观标准的开发，以预测软组织结果并指导和评估治疗。