Development of a patient-specific atrial phantom model for planning and training of inter-atrial interventions

Autor: João L. Vilaça, Sandro Queirós, Jan D'hooge, Pedro Morais, João Manuel R. S. Tavares, Fernando Veloso
Přispěvatelé: Faculdade de Engenharia, Universidade do Minho
Rok vydání: 2017
Předmět:
Patient-Specific Modeling
medicine.medical_specialty
Computer science
Medicina Básica [Ciências Médicas]
Computed tomography
030204 cardiovascular system & hematology
Surgical planning
Imaging phantom
Ciências Tecnológicas
Ciências médicas e da saúde
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
medicine
Humans
Heart Atria
3D - printing
Ultrasonography
Science & Technology
medicine.diagnostic_test
Phantoms
Imaging
business.industry
Patient - specific phantom models
Ultrasound
Ciências médicas e da saúde
Inter - atrial septal wall
Pattern recognition
General Medicine
Patient specific
Atrial wall
Surgery
Technological sciences
Medical and Health sciences
Ciências Médicas::Medicina Básica
Printing
Three-Dimensional
Medical and Health sciences
Ultrasound compatible phantom model
Artificial intelligence
Cardiac atria
Tomography
X-Ray Computed
business
Algorithms
Zdroj: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
ISSN: 0094-2405
DOI: 10.1002/mp.12559
Popis: Article is accepted for publication
BackgroundSeveral authors have presented cardiac phantoms to mimic the particularities of the heart, making it suitable for medical training and surgical planning. Although the initial models were mainly focused on the ventricles, personalized phantoms of the atria were recently presented. However, such models are typically rigid, the atrial wall is not realistic and they are not compatible with ultrasound (US), being sub-optimal for planning/training of several interventions. MethodsIn this work, we propose a strategy to construct a patient-specific atrial model. Specifically, the target anatomy is generated using a computed tomography (CT) dataset and then constructed using a mold-cast approach. An accurate representation of the inter-atrial wall (IAS) was ensured during the model generation, allowing its application for IAS interventions. Two phantoms were constructed using different flexible materials (silicone and polyvinyl alcohol cryogel, PVA-C), which were then compared to assess their appropriateness for US acquisition and for the generation of complex anatomies. ResultsTwo experiments were set up to validate the proposed methodology. First, the accuracy of the manufacturing approach was assessed through the comparison between a post-production CT and the virtual references. The results proved that the silicone-based model was more accurate than the PVA-C-based one, with an error of 1.680.79, 1.36 +/- 0.94, 1.45 +/- 0.77mm for the left (LA) and right atria (RA) and IAS, respectively. Second, an US acquisition of each model was performed and the obtained images quantitatively and qualitatively assessed. Both models showed a similar performance in terms of visual evaluation, with an easy detection of the LA, RA, and the IAS. Furthermore, a moderate accuracy was obtained between the atrial surfaces extracted from the US and the ideal reference, and again a superior performance of the silicone-based model against the PVA-C phantom was observed. ConclusionsThe proposed strategy proved to be accurate and feasible for the correct generation of complex personalized atrial models.
The authors acknowledge "Fundacao para a Ciencia e a Tecnologia" (FCT), in Portugal, and the European Social Found, European Union, for funding support through the "Programa Operacional Capital Humano" (POCH) in the scope of the PhD grants SFRH/BD/95438/2013 (P. Morais) and SFRH/BD/93443/2013 (S. Queiros).Authors gratefully acknowledge the funding of Projects NORTE-01-0145-FEDER-000013 and NORTE-01-0145-FEDER-000022, cofinanced by "Programa Operacional Regional do Norte" (NORTE2020), through "Fundo Europeu de Desenvolvimento Regional" (FEDER).
info:eu-repo/semantics/publishedVersion
Databáze: OpenAIRE
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