Enabling supra-aortic vessels inclusion in statistical shape models of the aorta: a novel non-rigid registration method

Scarpolini, Martino Andrea; Mazzoli, Marco; Celi, Simona

doi:10.3389/fphys.2023.1211461

Cited by 3 publications

(1 citation statement)

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“…However, this step is user-dependent and can be a source of uncertainty in the resulting 3D-printed model ( 7 ). Dealing with patient-specific models, from image segmentation or from statistical shape modelling ( 54 ), the CAD phase of the molds necessitated some experience. The complex morphologies presented in this work required the definition of non-conventional separation surfaces, instead of planes, in the mold design phase to ensure correct phantom extraction.…”

Section: Discussionmentioning

confidence: 99%

Fabrication of deformable patient-specific AAA models by material casting techniques

Antonuccio,

Gasparotti,

Bardi

et al. 2023

Front. Cardiovasc. Med.

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BackgroundAbdominal Aortic Aneurysm (AAA) is a balloon-like dilatation that can be life-threatening if not treated. Fabricating patient-specific AAA models can be beneficial for in-vitro investigations of hemodynamics, as well as for pre-surgical planning and training, testing the effectiveness of different interventions, or developing new surgical procedures. The current direct additive manufacturing techniques cannot simultaneously ensure the flexibility and transparency of models required by some applications. Therefore, casting techniques are presented to overcome these limitations and make the manufactured models suitable for in-vitro hemodynamic investigations, such as particle image velocimetry (PIV) measurements or medical imaging.MethodsTwo complex patient-specific AAA geometries were considered, and the related 3D models were fabricated through material casting. In particular, two casting approaches, i.e. lost molds and lost core casting, were investigated and tested to manufacture the deformable AAA models. The manufactured models were acquired by magnetic resonance, computed tomography (CT), ultrasound imaging, and PIV. In particular, CT scans were segmented to generate a volumetric reconstruction for each manufactured model that was compared to a reference model to assess the accuracy of the manufacturing process.ResultsBoth lost molds and lost core casting techniques were successful in the manufacturing of the models. The lost molds casting allowed a high-level surface finish in the final 3D model. In this first case, the average signed distance between the manufactured model and the reference was (−0.2±0.2) mm. However, this approach was more expensive and time-consuming. On the other hand, the lost core casting was more affordable and allowed the reuse of the external molds to fabricate multiple copies of the same AAA model. In this second case, the average signed distance between the manufactured model and the reference was (0.1±0.6) mm. However, the final model’s surface finish quality was poorer compared to the model obtained by lost molds casting as the sealing of the outer molds was not as firm as the other casting technique.ConclusionsBoth lost molds and lost core casting techniques can be used for manufacturing patient-specific deformable AAA models suitable for hemodynamic investigations, including medical imaging and PIV.

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Section: Discussionmentioning

confidence: 99%

Fabrication of deformable patient-specific AAA models by material casting techniques

Antonuccio,

Gasparotti,

Bardi

et al. 2023

Front. Cardiovasc. Med.

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Coupling synthetic and real-world data for a deep learning-based segmentation process of 4D flow MRI

Garzia,

Scarpolini,

Mazzoli

et al. 2023

Computer Methods and Programs in Biomedicine

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Fluid dynamic model for extracorporeal membrane oxygenation support and perfusion in cardiogenic shock

Vignali,

Gasparotti,

Haxhiademi

et al. 2023

Physics of Fluids

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The venoarterial extracorporeal membrane oxygenation (VA-ECMO) is a widely adopted procedure to provide oxygenated blood support in patients who underwent cardiac shock. The current work presents a study to define a correlation between VA-ECMO support level and both systemic pressure and arterial perfusion. In this work, a numerical approach is defined on a patient-specific aortic geometry to validate this trend on a more complete case and also to investigate the behavior of the mixing zone. In particular, morphological data from computed tomography imaging of a patient-specific whole aorta, including supra aortic vessels, coronaries, and renal arteries, were adopted for the study. A computational fluid dynamic approach was set for the analysis. A total of three cardiogenic shock cases (mild, medium, and severe) were simulated. For each shock configuration, different levels of ECMO support were simulated (0–6 l/min flow range). The aortic fluid dynamics were evaluated in terms of systemic afterload, watershed zone position, and perfusion of arteries. A linear trend of the perfusion as a function of ECMO level support was investigated and successfully validated. The minimum level of ECMO support to grant the perfusion of all arteries, causing the minimum possible afterload increase, was individuated and fitted with a linear model against different levels of cardiogenic shock. The results presented demonstrated to be a first step to have a preliminary tool to establish the minimum level of ECMO support for overall perfusion as a function of cardiogenic shock percentage.

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Enabling supra-aortic vessels inclusion in statistical shape models of the aorta: a novel non-rigid registration method

Cited by 3 publications

References 50 publications

Fabrication of deformable patient-specific AAA models by material casting techniques

Fabrication of deformable patient-specific AAA models by material casting techniques

Coupling synthetic and real-world data for a deep learning-based segmentation process of 4D flow MRI

Fluid dynamic model for extracorporeal membrane oxygenation support and perfusion in cardiogenic shock

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