Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/62499
Título: | Semi-automatic estimation of device size for left atrial appendage occlusion in 3D TEE images |
Autor(es): | Morais, Pedro Vilaça, João L. Queirós, Sandro Filipe Monteiro De Meester, Pieter Budts, Werner Tavares, João Manuel R. S. D'Hooge, Jan |
Palavras-chave: | Left atrial appendage occlusion Semi-automatic occluding device sizing 3D image segmentation Iterative closest point 3D transesophageal echocardiography left atrial appendage (LAA) occlusion |
Data: | Mai-2019 |
Editora: | IEEE |
Revista: | IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control |
Resumo(s): | Left atrial appendage (LAA) occlusion is used to reduce the risk of thromboembolism in patients with nonvalvular atrial fibrillation by obstructing the LAA through a percutaneously delivered device. Nonetheless, correct device sizing is complex, requiring the manual estimation of different measurements in preprocedural/periprocedural images, which is tedious and time-consuming and with high interobserver and intraobserver variability. In this paper, a semiautomatic solution to estimate the required relevant clinical measurements is described. This solution starts with the 3-D segmentation of the LAA in 3-D transesophageal echocardiographic images, using a constant blind-ended model initialized through a manually defined spline. Then, the segmented LAA surface is aligned with a set of templates, i.e., 3-D surfaces plus relevant measurement planes (manually defined by one observer), transferring the latter to the unknown situation. Specifically, the alignment is performed in three consecutive steps, namely: 1) rigid alignment using the LAA clipping plane position; 2) orientation compensation using the circumflex artery location; and 3) anatomical refinement through a weighted iterative closest point algorithm. The novel solution was evaluated in a clinical database with 20 volumetric TEE images. Two experiments were set up to assess: 1) the sensitivity of the model's parameters and 2) the accuracy of the proposed solution for the estimation of the clinical measurements. Measurement levels manually identified by two observers were used as ground truth. The proposed solution obtained results comparable to the interobserver variability, presenting narrower limits of agreement for all measurements. Moreover, this solution proved to be fast, taking nearly 40 s (manual analysis took 3 min) to estimate the relevant measurements while being robust to the variation of the model's parameters. Overall, the proposed solution showed its potential for fast and robust estimation of the clinical measurements for occluding device selection, proving its added value for clinical practice. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/62499 |
DOI: | 10.1109/TUFFC.2019.2903886 |
ISSN: | 0885-3010 |
e-ISSN: | 1525-8955 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito autor |
Aparece nas coleções: | ICVS - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Morais2019.pdf Acesso restrito! | 1,06 MB | Adobe PDF | Ver/Abrir |