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）：第二阶段 STTR 申请的主要目标是完成无地标定量 4D 面部分析系统的开发，用于静态分析（第一阶段完成）和软组织运动的动态分析（计划于第二阶段）。潜在的目标应用是广泛的面部识别，用于培训和教育目的的识别模拟；电影动画产业；对先天畸形、牙颌不协调、面部创伤和神经系统问题患者进行医疗诊断、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观和运动。他们将从客观测量和面部特征/标志分析中受益匪浅，以帮助医生确定治疗计划。由于正在进行一项 NIDCR 临床试验，我们在动态客观测量方面拥有丰富的经验，该试验旨在检查手术对唇腭裂 (CL/P) 患者环口功能的影响。 3dMD 和 Trotman 博士将使用 CL/P 患者进行此处提出的“概念验证”和技术开发。此外，在第一阶段，完成了“概念验证”，从而开发了用于在静态条件下对面部软组织进行自动 3D 评估的新颖软件。第二阶段扩展了动态面部软组织运动自动 4D 评估技术。第二阶段的具体目标如下。 1) 收集 CL/P 患者和没有已知面部问题的对照受试者以每秒 60 帧拍摄的按年龄和性别分层的 4D 动态面部图像。根据这些图像，验证能够区分运动受损患者和正常“未受损”受试者的算法。 2) 将项目第一阶段开发的表面提取算法和软件扩展到从 4D 动态图像中自动提取面部特征 3) 完善 3dMD 的 4D 动态面部捕捉系统的开发，用于分析动态表面运动并评估该系统用于临床环境。最终，将开发出一种用于牙科治疗和面部重建的实用工具，为牙科医生和外科医生提供客观标准，用于预测软组织结果并指导和评估治疗。