A Hybrid Model for Extracting the Aortic Valve in 3D Computerized Tomography and Its Application to Calculate a New Calcium Score Index

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• 关键词：Aortic Valve (AoV) ; Computed Tomography (CT) ; Medical image segmentation ; Region growing ; Aortic root ; Leaflets ; Valsalva sinuses
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9730
• 期：1
• 页码：687-694
• 全文大小：942 KB
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  14.Jilaihawi, H., Makkar, R.R., Kashif, M., Okuyama, K., Chakravarty, T., Shiota, T., Fontana, G.P.: A revised methodology for aortic-valvar complex calcium quantification for transcatheter aortic valve implantation. Eur. Heart J. Cardiovasc. Imaging 4, 3–7 (2014)
  15.Haensig, M., Lehmkuhl, L., Rastan, A.J.: Aortic valve calcium scoring is a predictor of significant paravalvular aortic insufficiency in transapical-aortic valve implantation. Eur. J. Cardiothorac. Surg. 41, 1234–1241 (2012)CrossRef
  
• 作者单位：Laura Torío (15)
  César Veiga (15)
  María Fernández (15)
  Victor Jiménez (15)
  Emilio Paredes (15)
  Pablo Pazos (15)
  Francisco Calvo (15)
  Andrés Íñiguez (15)
  
  15. Cardiología, Instituto de Investigación Biomédica (IBI), Hospital Álvaro Cunqueiro, Vigo, Spain
  
• 丛书名：Image Analysis and Recognition
• ISBN：978-3-319-41501-7
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9730

文摘

In this paper a new scheme for automatic segmentation of the Aortic Valve in 3D computed tomography image sequences is presented. The algorithm is based on a new approach that uses a combination of Region Growing and Mathematical Morphology techniques in a hybrid framework. The output of the algorithm is used to assess the Aortic Valve Calcium Score in a new way that calculates the Agatston Score separately in both Sinuses and Leaflets, deriving a new index based on their ratios. Aortic Valve borders and leaflets identification is still a challenging task, and commonly based on intensive user interaction that limits its applicability. In this paper a fast and accurate model-free, automated method for segmenting and extracting morphological parameters with Score Calcium calculation is presented. Results of the proposed method are also provided showing a high correlation with the expected values.