Automatic Brain Tissue Segmentation in Magnetic Resonance Images based on Knowledge-guided Constrained Clustering

基于知识引导约束聚类的磁共振图像脑组织自动分割

• 批准号: DP1097059
• 负责人: Prof Alan Wee-Chung Liew
• 金额: $ 10.45万
• 依托单位: Griffith University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2010
• 资助国家: 澳大利亚
• 起止时间: 2010-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP1097059
• 关键词: Automatic; Brain; Tissue; Segmentation; Magnetic

Accurate volumetric measurement of brain tissues is of critical importance in the study of many brain disorders, disease diagnosis, disease progression tracking and treatment monitoring. The study in this research will result in the development of a powerful computational technique that allows automatic volumetric measurement and analysis of brain tissues. The software developed in this project will expedite early clinical diagnosis and treatment of neural diseases for patients, hence saving life and reducing health cost both at the personal and the national level.

脑组织的精确体积测量在许多脑部疾病的研究、疾病诊断、疾病进展跟踪和治疗监测中具有至关重要的意义。这项研究将导致一种强大的计算技术的发展，这种技术可以自动测量和分析脑组织的体积。该项目开发的软件将加快患者神经疾病的早期临床诊断和治疗，从而在个人和国家层面上挽救生命，降低医疗成本。