Assessment of Vascular Network Segmentation

International Journal of Image Processing

Enrique Zudaire¹  Christopher Kurcz¹  Curtis Lisle¹  Jack Collins¹  Yanling Liu¹ 

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关键词: vessel segmentation;    network comparison;    quantitative analysis;    segmentation quality;    segmentation accuracy;   

DOI  :  

来源: Computer Science Journals

【 摘 要 】

We present an analysis framework to assess the quality and accuracy of vessel segmentation algorithms for three dimensional images. We generate synthetic (in silico) vessel models which act as ground truth and are constructed to embody varying morphological features. These models are transformed into images constructed under different levels of contrast, noise, and intensity. To demonstrate the use of our framework, we implemented two segmentation algorithms and compare the results to the ground truth model using several measures to quantify the accuracy and quality of segmentation. Furthermore, we collect metrics which describe the characteristics of the vessels it fails to segment. Our approach is illustrated with several examples. Funded by NCI Contract No. HHSN261200800001E.

【 授权许可】

Unknown