Dense motion field estimation from myocardial boundary displacements

Autor: Morais, Pedro, Queirós, Sandro, Ferreira, Adriano, Rodrigues, Nuno F., Baptista, Maria J., D’hooge, Jan, Vilaça, João L., Barbosa, Daniel
Přispěvatelé: Universidade do Minho
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Popis: Minimally invasive cardiovascular interventions guided by multiple imaging modalities are rapidly gaining clinical acceptance for the treatment of several cardiovascular diseases. These images are typically fused with richly detailed pre-operative scans through registration techniques, enhancing the intra-operative clinical data and easing the image-guided procedures. Nonetheless, rigid models have been used to align the different modalities, not taking into account the anatomical variations of the cardiac muscle throughout the cardiac cycle. In the current study, we present a novel strategy to compensate the beat-to-beat physiological adaptation of the myocardium. Hereto, we intend to prove that a complete myocardial motion field can be quickly recovered from the displacement field at the myocardial boundaries, therefore being an efficient strategy to locally deform the cardiac muscle. We address this hypothesis by comparing three different strategies to recover a dense myocardial motion field from a sparse one, namely, a diffusion-based approach, thin-plate splines, and multiquadric radial basis functions. Two experimental setups were used to validate the proposed strategy. First, an in silico validation was carried out on synthetic motion fields obtained from two realistic simulated ultrasound sequences. Then, 45 mid-ventricular 2D sequences of cine magnetic resonance imaging were processed to further evaluate the different approaches. The results showed that accurate boundary tracking combined with dense myocardial recovery via interpolation/diffusion is a potentially viable solution to speed up dense myocardial motion field estimation and, consequently, to deform/compensate the myocardial wall throughout the cardiac cycle. Copyright © 2015 John Wiley & Sons, Ltd.
This work was supported by the Fundacao para a Ciencia e a Tecnologia, Portugal, funded by the FCT/MCTES (PIDDAC) and cofunded by Fundo Europeu de Desenvolvimento Regional (FEDER) through the COMPETE - Programa Operacional Fatores de Competitivadade (POFC), in the scope of the project EXPL/BBB-BMD/2473/2013 and PhD grants SFRH/BD/95438/2013 (P. Morais) and SFRH/BD/93443/2013 (S. Queiros).
Databáze: OpenAIRE
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