Blood vessel modeling for interactive simulation of interventional neuroradiology procedures

Abstract

Endovascular interventions can benefit from interactive simulation in their training phase but also during pre-operative and intra-operative phases if simulation scenarios are based on patient data. A key feature in this context is the ability to extract, from patient images, models of blood vessels that impede neither the realism nor the performance of simulation. This paper addresses both the segmentation and reconstruction of the vasculature from 3D Rotational Angiography data, and adapted to simulation: An original tracking algorithm is proposed to segment the vessel tree while filtering points extracted at the vessel surface in the vicinity of each point on the centerline; then an automatic procedure is described to reconstruct each local unstructured point set as a skeleton-based implicit surface (blobby model). The output of successively applying both algorithms is a new model of vasculature as a tree of local implicit models. The segmentation algorithm is compared with Multiple Hypothesis Testing (MHT) algorithm (Friman et al., 2010) on patient data, showing its greater ability to track blood vessels. The reconstruction algorithm is evaluated on both synthetic and patient data and demonstrate its ability to fit points with a subvoxel precision. Various tests are also reported where our model is used to simulate catheter navigation in interventional neuroradiology. An excellent realism, and much lower computational costs are reported when compared to triangular mesh surface models.

High Precision Implicit Modeling for Patient-Specific Coronary Arteries

“…In this paper, a new implicit modeling technique has been proposed and applied to the geometric reconstruction of patientspecific coronary arteries. Compared to the LIM method [34], the proposed technique is not only much simpler but more TABLE 5. Performance measurements of the proposed method and PAS based method for the implicit surface reconstruction of coronary artery trees carried out on an Intel Core i5 CPU with two cores @3.2GHz and 8GB RAM.…”

“…Although the sweep surface based methods can reconstruct vasculatures with high smoothness, the modeling accuracy could be affected in the case of much curved centerline. Recently, a Local Implicit Modeling (LIM) algorithm is developed by Kerrien et al [34] for blood vessel modeling, with a more efficient energy formulation and a more discriminative blob selection criterion.…”

Evaluation of a modular in vitro neurovascular procedure simulation for intracranial aneurysm embolization

“…The benefit of 3D-printed hollow aneurysm models based on real patients’ anatomy in perioperative training settings has been observed previously,11 14 15 and exact replicas of difficult human anatomies can help in planning of the surgical approach and may improve operator familiarity with new endovascular devices 16. Additionally, such models provide an opportunity to imitate specific intraoperative challenges, subsequently aiming to assess alternate treatment options 16 17…”

Accurate model-based segmentation of gynecologic brachytherapy catheter collections in MRI-images

“…The vast majority of reported methods target highly tortuous and branched structures such as white matter tracts in diffusion MRI images (Hao et al, 2014; O’Donnell and Westin, 2007), blood vessels in angiographic images (Kerrien et al, 2017; Lesage et al, 2016; Schneider et al, 2015; Manniesing et al, 2010; Schaap et al, 2007; Wink et al, 2004; Aylward and Bullitt, 2002), or nerves in MRI images (Sultana et al, 2017). Compared to e.g.…”