Multi-atlas based image selection with label image constraint
Yihui Cao ; Xuelong Li ; Pingkun Yan
2012
会议名称11th ieee international conference on machine learning and applications, icmla 2012
会议日期december 12, 2012 - december 15, 2012
会议地点boca raton, fl, united states
卷号1
页码311-316
中文摘要atlas selection plays an important role in multiatlas based image segmentation. in atlas selection methods, manifold learning based techniques have recently emerged as very promisingly. however, due to the complexity of anatomical structures in raw images, it is difficult to get accurate atlas selection results by measuring only the distance between raw images on the manifolds. in this paper, we tackle this problem by proposing a label image constrained atlas selection (licas) method to exploit the shape and size information of the regions to be segmented from the label images. constrained by the label images, a new manifold projection method is developed to help uncover the intrinsic similarity between the regions of interest across images. compared with other existing methods, the experimental results of segmentation on 60 magnetic resonance (mr) images showed that the selected atlases are closer to the target structure and more accurate segmentation can be obtained by using the proposed method.
收录类别EI
合作状况国内
产权排序1
会议录proceedings - 2012 11th international conference on machine learning and applications, icmla 2012
会议录出版者ieee computer society
会议录出版地2001 l street n.w., suite 700, washington, dc 20036-4928, united states
语种英语
ISBN号9780769549132
内容类型会议论文
源URL[http://ir.opt.ac.cn/handle/181661/20914]  
专题西安光学精密机械研究所_光学影像学习与分析中心
推荐引用方式
GB/T 7714
Yihui Cao,Xuelong Li,Pingkun Yan. Multi-atlas based image selection with label image constraint[C]. 见:11th ieee international conference on machine learning and applications, icmla 2012. boca raton, fl, united states. december 12, 2012 - december 15, 2012.
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