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一个血管分叉标志对数据集用于腹部CT可变形图像登记 (DIR) 验证

Edward R Criscuolo¹, Zhendong Zhang¹, Yao Hao²

¹Department of Radiation Oncology, Duke University, Durham, North Carolina, USA.

Medical physics

|May 29, 2025

概括

这项研究引入了一种新的腹部CT数据集,用于可变形图像注册 (DIR) 验证. 该数据集具有许多精确的血管分叉的地标对,使得可靠的DIR算法开发和质量保证.

科学领域:

医疗成像医学成像
计算机视觉计算机视觉
生物医学工程生物医学工程

背景情况:

可变形图像注册 (DIR) 对于医学诊断和治疗至关重要.
由于缺乏质量保证的基准数据集,DIR的临床采用受到阻碍.
腹部CT注册由于器官变形和图像不一致而带来了独特的挑战.

研究的目的:

引入首个用于腹部CT可变形图像登记 (DIR) 的同类基准数据集.
提供一组数据集,其中包含大量非常准确的地标对,用于匹配血管分叉.
促进用于临床应用的先进DIR算法的开发和验证.

主要方法:

从公共存储库和机构来源获得的腹部CT图像对.
开发了一种工作流程,涉及深度学习细分,手动地标识别和自动改进.
产生了1895年的标志性对,平均精度为0.7mm±1.2mm.

主要成果:

专门为腹部CT DIR验证创建了一个独特的数据集.
该数据集平均包含每例患者63个里程碑对.
在里程碑对定位中实现了高精度,这对于严格的算法测试至关重要.

结论:

引入的数据集是第一个用于验证腹部DIR的数据集.
数据集的大小,准确性和地标分布使得可以精确地验证DIR算法.
这一资源将大大推动DIR技术的开发和临床实用性.

关键词:

可变形图像的注册变形图像的注册标志性的地标标志性的地标验证验证的时间

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