Automated segmentation and quantification of geometrical and structural parameters of the hip in 3D-MRI data sets: Development of algorithms for reliable data analysis in large cohorts (German National Cohort)
3D-MRI 数据集中髋部几何和结构参数的自动分割和量化:开发大型队列中可靠数据分析的算法(德国国家队列)
基本信息
- 批准号:325028047
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Grants
- 财政年份:2017
- 资助国家:德国
- 起止时间:2016-12-31 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Standardized and validated tools with a high degree of automatization are required for the assessment of the MRI-data of the approximately 30,000 participants of the German National Cohort (GNC) imaging sub-study. The purpose of this project is to develop and test software algorithms for automated segmentation of the hip joint exploiting the pelvis sequences of 200 exemplary MRI datasets provided by the GNC. The software algorithms will automatically quantify the following imaging parameters: Acetabular coverage, sphericity of the femoral head, offset femoral head/neck, proximal femoral form, cartilage area and thickness, acetabular and femoral cysts. These automatically derived parameters will be compared to manual analysis and validated in a separate clinically correlated patient cohort. Finally, the developed software tools will allow for automated quantitative assessment of structural changes which may predispose individuals to develop hip osteoarthritis.
评估德国国家队列(GNC)成像子研究的大约30,000名参与者的MRI数据需要高度自动化的标准化和经验证的工具。该项目的目的是利用GNC提供的200个示例性MRI数据集的骨盆序列开发和测试用于髋关节自动分割的软件算法。该软件算法将自动量化以下成像参数:髋臼覆盖率、股骨头的球形度、股骨头/颈偏移量、股骨近端形态、软骨面积和厚度、髋臼和股骨囊肿。这些自动得出的参数将与手动分析进行比较,并在单独的临床相关患者队列中进行验证。最后,开发的软件工具将允许对结构变化进行自动定量评估,这些变化可能使个人容易患上髋关节骨性关节炎。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Semantic Organ Segmentation in 3D Whole-Body MR Images
- DOI:10.1109/icip.2018.8451205
- 发表时间:2018-10
- 期刊:
- 影响因子:0
- 作者:T. Küstner;Sarah Müller;Marc Fischer;Jakob Weiss;K. Nikolaou;F. Bamberg;Bin Yang;F. Schick;S. Gatidis
- 通讯作者:T. Küstner;Sarah Müller;Marc Fischer;Jakob Weiss;K. Nikolaou;F. Bamberg;Bin Yang;F. Schick;S. Gatidis
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Professor Dr. Mike Notohamiprodjo其他文献
Professor Dr. Mike Notohamiprodjo的其他文献
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