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Springer Verlag, International Journal of Computer Assisted Radiology and Surgery, 4(10), p. 447-458

DOI: 10.1007/s11548-014-1104-y

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Real-time aortic valve segmentation from transesophageal echocardiography sequence

Journal article published in 2014 by Junfeng Cai, Xiahai Zhuang ORCID, Yuanyuan Nie, Zhe Luo, Lixu Gu
This paper is available in a repository.
This paper is available in a repository.

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Abstract

Purpose: Geometric features of the aortic valve play an important role in many applications, such as the clinical diagnostics, shape modeling and image-guided cardiac interventions, especially for the transcatheter aortic valve implantation (TAVI) procedure. However, few works have been reported on the topic of aortic valve segmentation from transesophageal echocardiography (TEE) sequences. To obtain accurate segmentation results and further provide valid support for TAVI, this paper presents a real-time method for segmenting the aortic valve from intraoperative, short-axis view TEE sequences, using an improved probability estimation and continuous max-flow (CMF) approach.