AUTOMATED SEGMENTATION AND SHAPE ANALYSIS IN PEDIATRIC BRAIN TUMOR SURVIVORS

小儿脑肿瘤幸存者的自动分割和形状分析

• 批准号: 7724517
• 负责人: Zuyao Shan
• 金额: $ 0.26万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-01 至 2009-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7724517
• 关键词: 3-Dimensional; Age; Algorithms; Atlases; Brain; Brain Injuries; Childhood Brain Neoplasm; Computer Retrieval of Information on Scientific Projects Database; Development; Disease; Evaluation; Funding; Grant; Handedness; Hospitals; Image; Individual; Institution; Manuals; Methodology; Methods; Neurocognitive; Patients; Performance; Population; Process; Range; Research; Research Personnel; Resources; Saint Jude Children' s Research Hospital; Scanning; Science; Shapes; Source; Structure; Survivors; Testing; Treatment Protocols; United States National Institutes of Health; analog; base; childhood cancer survivor; design; expectation; healthy volunteer; image processing; sex; shape analysis; treatment planning

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. In the Division of Translational Imaging Research, a branch of St. Jude Children's Research Hospital Radiological Sciences department, we are currently focused on the characterization of therapy-induced brain damage, neurostructural organization and integrity, and neurocognitive performance in pediatric cancer survivors. Within this framework, several of our ongoing projects pursue the design of image processing algorithms that quantitatively analyze different structures of the patients developing brain. The central idea of our project is to develop an atlas-based automatic method in which manual delineations of healthy volunteers brain structures support the accurate segmentation of analog structures in our patients MR scans. These segmented structures are then processed to study shape changes attributable either to normal development, disease, or treatment, providing in this way a reference to test hypotheses that longitudinally correlate volumetric and local shape changes to the patients neurocognitive evaluations. Being a statistical approach that heavily relies on the manual segmentation of brain structures of a normal healthy population, our study would greatly benefit from the broadest base of normal 3-D MR scans, which would allow us to relate a particular patient to a set of normal individuals within an close age range, or properly classified in terms of sex, and/or laterality. Our highest expectation is that the methodology proposed in our study, provides valuable scientific criteria that can support treatment planning and ultimately be incorporated in our hospital's treatment protocols.

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目和 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 在转化成像研究部（圣裘德儿童研究医院放射科学部的一个分支），我们目前专注于研究儿童癌症幸存者治疗引起的脑损伤、神经结构组织和完整性以及神经认知表现的特征。 在此框架内，我们正在进行的几个项目致力于设计图像处理算法，定量分析正在发育的患者大脑的不同结构。 我们项目的中心思想是开发一种基于图谱的自动方法，其中手动描绘健康志愿者的大脑结构支持对患者 MR 扫描中的模拟结构进行准确分割。然后对这些分段结构进行处理，以研究归因于正常发育、疾病或治疗的形状变化，以这种方式为将体积和局部形状变化与患者神经认知评估纵向关联的测试假设提供参考。 作为一种严重依赖于对正常健康人群的大脑结构进行手动分割的统计方法，我们的研究将极大地受益于最广泛的正常 3D MR 扫描基础，这将使我们能够将特定患者与年龄范围相近的一组正常个体联系起来，或者根据性别和/或偏侧性进行正确分类。 我们最高的期望是我们的研究中提出的方法提供了有价值的科学标准，可以支持治疗计划并最终纳入我们医院的治疗方案。