Sketch-Based Editing Tools for Tumour Segmentation in 3D Medical Images
Sketch-Based Editing Tools for Tumour Segmentation in 3D Medical Images
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DOI：
10.1111/cgf.12193
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发表时间：
2013-12-01
影响因子：
2.5
通讯作者：
Hahn, Horst K.
中科院分区：
文献类型：
--
作者：
Heckel, Frank;Moltz, Jan H.;Hahn, Horst K.
在过去的几年中，复杂的自动分割算法的各种医学图像分割问题已经开发出来。然而，总是有自动算法无法提供可接受的分割的情况。在这些情况下，用户需要高效的分割编辑工具，这是一个在研究中没有得到太多关注的问题。我们对三维（3D）医学图像的分割编辑进行了全面的概述。对于二维（2D）图像中的分割编辑，我们讨论了一种基于草图的方法，其中用户修改轮廓域中的分割。基于此2D接口，我们提出了一种基于图像的以及图像独立的方法，用于在计算机断层扫描（CT）中肿瘤分割的背景下在3D中进行直观和高效的分割编辑。我们的编辑工具已在包含1226个不同形状、大小和图像质量的代表性肝转移瘤、肺结节和淋巴结的数据库上进行了评估。此外，我们还与放射科医生和技术专家进行了定性评估，证明了我们工具的效率。
In the past years sophisticated automatic segmentation algorithms for various medical image segmentation problems have been developed. However, there are always cases where automatic algorithms fail to provide an acceptable segmentation. In these cases the user needs efficient segmentation editing tools, a problem which has not received much attention in research. We give a comprehensive overview on segmentation editing for three-dimensional (3D) medical images. For segmentation editing in two-dimensional (2D) images, we discuss a sketch-based approach where the user modifies the segmentation in the contour domain. Based on this 2D interface, we present an image-based as well as an image-independent method for intuitive and efficient segmentation editing in 3D in the context of tumour segmentation in computed tomography (CT). Our editing tools have been evaluated on a database containing 1226 representative liver metastases, lung nodules and lymph nodes of different shape, size and image quality. In addition, we have performed a qualitative evaluation with radiologists and technical experts, proving the efficiency of our tools.