Statistical atlas construction via weighted functional boxplots.
Statistical atlas construction via weighted functional boxplots.
复制标题
通过加权函数箱线图构建统计图集。
DOI：
10.1016/j.media.2014.03.001
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发表时间：
2014
影响因子：
10.9
通讯作者：
Niethammer,Marc
中科院分区：
文献类型：
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作者：
Hong,Yi;Davis,Brad;Marron,JS;Kwitt,Roland;Singh,Nikhil;Kimbell,JuliaS;Pitkin,Elizabeth;Superfine,Richard;Davis,StephanieD;Zdanski,CarltonJ;Niethammer,Marc
Atlas-building from population data is widely used in medical imaging. However, the emphasis of atlas-building approaches is typically to estimate a spatial alignment to compute a mean/median shape or image based on population data. In this work, we focus on the statistical characterization of the population data, once spatial alignment has been achieved. We introduce and propose the use of theweightedfunctional boxplot. This allows the generalization of concepts such as the median, percentiles, or outliers to spaces where the data objects are functions, shapes, or images, and allows spatio-temporal atlas-building based on kernel regression. In our experiments, we demonstrate the utility of the approach to construct statistical atlases for pediatric upper airways and corpora callosa revealing their growth patterns. We also define a score system based on the pediatric airway atlas to quantitatively measure the severity of subglottic stenosis (SGS) in the airway. This scoring allows the classification of pre- and post-surgery SGS subjects and radiographically normal controls. Experimental results show the utility of atlas information to assess the effect of airway surgery in children.
