Landmark Influence Visualization in Active Shape Models
Landmark Influence Visualization in Active Shape Models
复制标题
主动形状模型中的标志性影响可视化
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
K. Golen
中科院分区：
文献类型：
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作者：
K. Golen
磁共振图像（MRI）数据中的形状分割是一个重要的问题。主动形状模型（ASM）是一种尝试将统计形状模型拟合到地标的方法。一种可能的方法是让用户通过放置ASM的标志来将模型拟合到MRI数据上。通常，用户只能看到统计形状模型的全局拟合;对标志的调整具有全局效果。这阻碍了用户在时间上有效地构建最大化分割形状的准确性的一组地标。提出了一种新的地标影响可视化，提高了主动形状模型的可用性。标志影响定义为如果删除标志，模型拟合将经历的变化。地标影响使用地标周围的圆盘字形可视化。感兴趣区域滤波器可用于检查对局部区域的影响。距离贴图和动画显示形状将如何变化。进行用户研究以评价可视化。分割精度和可视化之间没有相关性。同样，分割所需的时间和可视化之间也没有相关性。然而，调查问卷显示，用户发现磁盘字形和动画在他们的分割工作流程中很有用。
Segmentation of shapes in Magnetic Resonance Image (MRI) data is a non-trivial problem. Active Shape Models (ASM) is an approach that attempts to fit a Statistical Shape Model to landmarks. One possible approach is to let a user fit the model onto the MRI data by placing landmarks for ASM. Usually, the user can only see the global fit of the Statistical Shape Model; adjustments to landmarks have a global effect. This hinders the user in time-efficiently constructing a set of landmarks that maximizes the accuracy of the segmented shape. A novel landmark influence visualization is proposed that improves the usability of Active Shape Models. Landmark influence is defined as the change the model fit will undergo if a landmark is removed. The landmark influence is visualized using disk glyphs around landmarks. A region-of-interest filter can be used to inspect influence on local regions. Distance maps and animations visualize how the shape will change. A user study was performed to evaluate the visualization. No correlation was found between segmentation accuracy and the visualization. Similarly, no correlation was found between the time required for segmentation and the visualization. Nevertheless, a questionnaire revealed that users found the disk glyphs and animations useful in their segmentation workflow.
使用统计形状模型打开医学图像分割的“黑匣子”
DOI：
10.1007/s00371-013-0852-y
发表时间：
2013
期刊：
The Visual Computer
影响因子：
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作者：
von Landesberger T;Andrienko G;Andrienko N;Bremm S;Kirschner M;Wesarg S;Kujper A.
通讯作者：
Kujper A.