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Crowd-Assisted Polyp Annotation of Virtual Colonoscopy Videos

机译：虚拟结肠镜检查视频的人群辅助息肉注释

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Virtual colonoscopy (VC) allows a radiologist to navigate through a 3D colon model reconstructed from a computed tomography scan of the abdomen, looking for polyps, the precursors of colon cancer. Polyps are seen as protrusions on the colon wall and haustral folds, visible in the VC fly-through videos. A complete review of the colon surface requires full navigation from the rectum to the cecum in antegrade and retrograde directions, which is a tedious task that takes an average of 30 minutes. Crowdsourcing is a technique for nonexpert users to perform certain tasks, such as image or video annotation. In this work, we use crowdsourcing for the examination of complete VC fly-through videos for polyp annotation by non-experts. The motivation for this is to potentially help the radiologist reach a diagnosis in a shorter period of time, and provide a stronger confirmation of the eventual diagnosis. The crowdsourcing interface includes an interactive tool for the crowd to annotate suspected polyps in the video with an enclosing box. Using our workflow, we achieve an overall polyps-per-paticnt sensitivity of 87.88% (95.65% for polyps ≥5mm and 70% for polyps <5mm). We also demonstrate the efficacy and effectiveness of a non-expert user in detecting and annotating polyps and discuss their possibility in aiding radiologists in VC examinations.
机译：虚拟结肠镜检查（VC）可使放射科医生浏览从腹部计算机断层扫描重建的3D结肠模型，寻找息肉（结肠癌的前体）。息肉被看作是结肠壁和胃haus的突起，在VC飞越视频中可以看到。结肠表面的完整检查需要从直肠到盲肠在顺行和逆行方向上完全导航，这是一项繁琐的任务，平均需要30分钟。众包是非专业用户执行某些任务（例如图像或视频注释）的技术。在这项工作中，我们使用众包技术检查完整的VC飞越视频，以供非专家进行息肉注释。这样做的动机是潜在地帮助放射科医生在更短的时间内完成诊断，并为最终的诊断提供更强有力的确认。众包界面包括一个交互式工具，供人群使用封闭框注释视频中的可疑息肉。通过我们的工作流程，我们实现了每个患者的总息肉敏感性为87.88％（对于≥5mm的息肉为95.65％，对于<5mm的息肉为70％）。我们还演示了非专家用户在检测和注释息肉中的功效和有效性，并讨论了它们在协助放射科医生进行VC检查中的可能性。

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