MultiChannel Analysis Workstation for Dynamic Breast MRI

用于动态乳腺 MRI 的多通道分析工作站

• 批准号: 6485449
• 负责人: LYDIA NG
• 金额: $ 10.38万
• 依托单位: INSIGHTFUL CORPORATION
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-13 至 2003-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6485449
• 关键词: bioimaging /biomedical imaging; breast neoplasm /cancer diagnosis; breast neoplasms; clinical research; computer assisted diagnosis; computer program /software; computer system design /evaluation; contrast media; diagnosis design /evaluation; human data; image enhancement; magnetic resonance imaging

DESCRIPTION (provided by applicant): Dynamic contrast-enhanced MRI of the breast is a useful tool in locating lesions and differentiating between malignant and benign lesions. There are a variety of methods used to acquire and analyze the dynamic MRI data resulting in wide variability in the subsequent interpretation. We propose to develop a diagnostic system for extracting quantitative information from the dynamic MRI to assist the physician in the interpretation of the image data. The first step is a pre-processing step that applies deformable registration to the images to correct for any patient motion that may have occurred during the course of the exam. This correction will improve the results of subsequent processing and will improve the quality of the pre and post contrast subtraction images used to visualize potential lesions. Many researchers have found diagnostic utility in fitting the dynamic MRI to a pharmacokinetic model and extracting parametric information such as rate of enhancement, peak enhancement and rate of washout. We propose to implement and evaluate both a pharmacokinetic model and a non-parametric fit using B-splines and use the fitted data to extract the diagnostic parametric information and generate parametric images. In a novel approach, we propose to apply multi-channel segmentation to segment the parametric image data. The proposed system will be validated on a retrospective set of dynamic breast MR about from 35 patients acquired from our collaborators. PROPOSED COMMERCIAL APPLICATION: This dynamic MR image analysis package will be developed for Insightful's existing advanced and medical imaging workstation, IQuantify. Several commercialization avenues will be explored for this package: (1) We will offer it as an IQuantify module to pharmaceutical companies and CROs for clinical trials, (2) We will offer it as an OEM package to MR contrast agent companies and also to MR scanner manufacturera. (3) We will offer a clinical workstation for analysis of dynamic contrast MR images.

描述（由申请人提供）：乳腺动态对比增强MRI是定位病变和区分恶性和良性病变的有用工具。有多种方法用于采集和分析动态MRI数据，导致后续解释中的广泛差异。我们建议开发一个诊断系统，用于从动态MRI中提取定量信息，以帮助医生解释图像数据。第一步是预处理步骤，将变形配准应用于图像，以校正检查过程中可能发生的任何患者运动。这种校正将改善后续处理的结果，并将改善用于可视化潜在病变的对比减影前后图像的质量。许多研究人员已经发现了诊断效用，在拟合动态MRI的药代动力学模型和提取参数信息，如增强率，峰值增强和洗脱率。我们建议实施和评估药代动力学模型和 使用B样条进行非参数拟合，并使用拟合的数据来提取诊断参数信息并生成参数图像。在一种新的方法中，我们提出了应用多通道分割分割的参数图像数据。建议的系统将在一组回顾性的动态乳腺MR上进行验证，该MR来自我们的35名患者。 合作者 拟定商业应用：该动态MR图像分析包将为Insightful现有的先进医学成像工作站IQuantify开发。将探索该软件包的几种商业化途径：（1）我们将将其作为IQuantify模块提供给制药公司和临床试验委托研究机构，（2）我们将其作为OEM软件包提供给MR造影剂公司和MR扫描仪制造商。(3)我们将提供一个临床工作站，用于分析动态对比MR图像。