没有可重现性,没有进步:重新思考CT基准测试
Dmitry Polevoy1,2, Danil Kazimirov2,3, Marat Gilmanov2,3
1Federal Research Center Computer Science and Control RAS, 119333 Moscow, Russia.
在X射线计算机断层扫描 (CT) 重建中的可复制性是由于有限的数据集和方法而面临的挑战. 本研究提出了一个框架,数据模型和检查清单可用于可靠的CT基准测试.
科学领域:
- 医疗成像医学成像
- 科学计算科学计算
背景情况:
- 可复制性对于科学进步至关重要,但在X射线计算机断层扫描 (CT) 重建方面是一个重大挑战.
- 目前的CT基准测试受到缺乏开放数据集,资源不完整以及方法和指标实施不透明的障碍.
研究的目的:
- 分析当前CT基准分析实践中的局限性.
- 提出一个框架,以提高CT数据集的可复制性和适用性.
- 为了建立一个可靠和可重复的对比管道在CT的基础.
主要方法:
- 分析当前CT基准测试中的系统性局限性.
- 建议扩展数据模型和数据准备和质量评估的正式方案.
- 引入用于数据集构建和质量评估的检查清单,包括虚拟CT (vCT) 集成.
主要成果:
- 确定了系统性限制,破坏了CT重建中的可重现性.
- 制定了正式的方案和检查清单,以提高数据集的质量和适用性.
- 突出了虚拟CT (vCT) 对现实数据生成的不足利用.
结论:
- 拟议的框架提供了 CT 中可重现的基准测试的第一步.
- 增强的数据模型,方案和检查清单可以提高评估CT重建方法的透明度和严格性.
- 这项工作旨在促进CT方法在临床和工业环境中可靠地采用.
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