RECOGNITION OF ORGANS IN CT-IMAGE SEQUENCES - A MODEL GUIDED APPROACH

RECOGNITION OF ORGANS IN CT-IMAGE SEQUENCES - A MODEL GUIDED APPROACH
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DOI:
10.1016/0010-4809(88)90003-1
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发表时间:
1988-10-01
期刊:
COMPUTERS AND BIOMEDICAL RESEARCH
影响因子:
--
通讯作者:
EIJKMAN, EGJ
EIJKMAN, EGJ
中科院分区:
其他
文献类型:
--
作者:
KARSSEMEIJER, N;VANERNING, LJTO;EIJKMAN, EGJ

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提出了一种用于CT图像序列中器官分割的方法。该方法的一个重要特点是使用搜索区域来指导分割过程。耗时的数据导向操作仅限于这些区域,而不是应用于整个图像。通过从成像场景的模型导出的约束以及通过在识别过程中已经获得的结果来确定针对特定解剖结构的搜索区域。该方法已成功地应用于腹部X线CT扫描中脾脏的识别。
A method is proposed for segmentation of organs in CT-image sequences. An important feature of the method is the use of search areas to guide the segmentation process. Time consuming, data-directed operations are restricted to these areas, instead of being applied to the whole image. A search area for a particular anatomical structure is detertmined by constraints, derived form a model of the imaged scene and by results already obtained in the recognition process. The method had been successfully applied on recognition of the spleen in abdominal X-ray CT scans.