AUTOMATED IMAGE REGISTRATION FOR CLINICAL NEUROIMAGING

临床神经影像的自动图像配准

• 批准号: 2869131
• 负责人: VENKATESAN THANGARAJ
• 金额: $ 16.39万
• 依托单位: IMIPS, INC.
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-04-01 至 2000-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2869131
• 关键词: archives; bioengineering /biomedical engineering; bioimaging /biomedical imaging; biomedical automation; computed axial tomography; computer assisted diagnosis; computer program /software; contrast media; data management; diagnosis design /evaluation; human data; image processing; imaging /visualization /scanning; information retrieval; nervous system disorder diagnosis; technology /technique development

The basic hypothesis of our proposal is that image registration can be routinely applied in the clinical domain to improve diagnosis and management of specific neurological disorders. The long term goal of this proposal is the development of a completely automated system for registration of scans from computed axial tomography (CT). Recently completed engineering studies suggest that all registration steps can be performed within 2 min. The specific aims for Phase I are: 1) To create an engineering prototype system that can be used in a laboratory environment to confirm the validity of the engineering study. 2) To evaluate the speed, convenience and accuracy of the prototype on three specific medical indications for CT scanning (with and without contrast media.) The engineering prototype includes: a) software to receive and decode CT data, b)study-specific pre- and post-processing modules, c) a registration engine, and d) visualization tools. Phase I research will provide explicit demonstration of principle and physical testing in a hospital laboratory. This information will be used in Phase II to design a commercial strength product with testing in the emergency room and clinical environments leading toward compliance with FDA guidelines. PROPOSED COMMERCIAL APPLICATIONS: Despite the potential for improving diagnosis and management of neurological patients, image registration cannot be applied widely because of the cost and time associated with manual processing. Automation will lower the cost. Application to diagnosis and management of stroke disease and brain tumors are key application of this technology.

我们的建议的基本假设是，图像配准可以常规应用于临床领域，以提高诊断和特定的神经系统疾病的管理。该提案的长期目标是开发一个完全自动化的系统，用于计算机轴向断层扫描（CT）的扫描配准。最近完成的工程研究表明，所有的注册步骤可以在2分钟内完成。第一阶段的具体目标是：1）创建一个工程原型系统，可以在实验室环境中使用，以确认工程研究的有效性。2)评价原型在三种特定医学适应症CT扫描（有和无造影剂）上的速度、便利性和准确性。 工程原型包括：a）接收和解码CT数据的软件，B）研究特定的预处理和后处理模块，c）配准引擎，以及d）可视化工具。 第一阶段研究将在医院实验室提供明确的原理演示和物理测试。 这些信息将用于第二阶段，以设计商业强度产品，并在急诊室和临床环境中进行测试，以符合FDA指南。拟议的商业应用：尽管有潜力改善神经系统患者的诊断和管理，但由于与手动处理相关的成本和时间，图像配准不能广泛应用。自动化将降低成本。 应用于中风疾病和脑肿瘤的诊断和管理是该技术的关键应用。