Medical & Biological Engineering & Computing

, Volume 46, Issue 11, pp 1057–1058

Personalised imaging and biomechanical modelling of large vessels

Open AccessEditorial

DOI: 10.1007/s11517-008-0417-9

Cite this article as:
Krams, R., Breeuwer, M. & van de Vosse, F. Med Biol Eng Comput (2008) 46: 1057. doi:10.1007/s11517-008-0417-9

The large blood vessels are crucial for blood flow distribution in the body but they may be subjected to disease processes like atherosclerosis, and consequences thereof like aneurysm formation, stroke, and myocardial infarction. These diseases are associated to a majority of the mortality of cardiovascular disease, which may be as high as 33% of overall disease related mortality. The function of these blood vessels has successfully been studied in the framework of biology, physics, and imaging. While a decade ago vessel function was merely described in terms of average blood flow, overall compliance and distensibility, the turbulent development of computational resources and numerical modelling has enabled calculations of local wall stress, local blood flow, and local wall deformation. Especially the methods to solve the non-linear Navier–Stokes equations and the equations that describe non-linear solid mechanics have evolved over the last decade and currently enable shear stress distributions in complex vessel geometries. Furthermore, the development of invasive and non-invasive imaging enables imaging the 3D geometry of blood vessels and thereby to develop personalised and segmental calculations of the wall stress and shear stress fields. This Special Issue is focussed upon the development and improvement of methods to obtain personalised information of the arterial tree in terms of vascular geometry, pressure distribution, shear stress distribution and wall stress distribution, in order to predict better interventions for individual patients.

The first paper in this issue [9] gives an overview of developments in diagnostic tests for carotid and coronary disease, and aortic aneurysms and dissection. It is concluded that improved diagnostics by applying biophysics based mathematical model eventually will lead to improved patient management.

In the second series of papers the technical description of automated methods for image reconstruction is presented. In the first of the series, Peiro [8] describe methods to obtain high quality reconstructions of images of blood vessels and the consequences for mesh- generation and CFD quality. Two other papers [1, 2] describe methods to develop a cascade of methods to start from an image and end with a wall stress or shear stress field in either the carotid artery [1] and aortas [2]. These methods are essential for obtaining patient specific information in the clinical environment.

In the next series of papers, the pathophysiology of diseases is deepened by showing that haemodynamics contributes factors to the formation of brain aneurysm [3], aneurysm expansion [4] and stent-graft vessel wall interaction [5]. Chien et al. [3] show that in ruptured aneurysm the flow field is different compared to flow fields in aneurysm without rupture. The question is whether this difference could have been detected before rupture occurred. Helderman et al. [4] develop a general method to predict aneurysm expansion, while Lam et al. [5] describe the parameters that will help to better design stents.

In the fourth series of papers, patient-specific interventions are described. Pekkan et al. [7] describe a method to obtain patient-specific information on anatomy, and flow field in patients with congenital heart defects. On top of that they simulate surgical interventions in the patient-specific environment and thereby provide useful information for surgeons. Sun et al. [10] provide similar methods for patients with complex congenital heart defects and simulate patient-specific bilateral bidirectional Glenn procedures. Due to the complexity and non-linearity of the problem these computational methods are indispensable to understand impact of intervention and help the surgeons substantially in their planning. The methods described in this issue bear direct relationship to other areas of biomedical engineering as support post-endoscopic surgery of the nasal cavity [11] and rationalizing stent design [6].

This special issue offers an overview of a rapid expanding and important field for the application of engineering principles in disease of the large vessels. The technical developments enable to study patient-specific spatial and local distributions of shear stress, wall stress and anatomy leading to a better prediction of changes induced by interventions. As such this field hold large promise to gain acceptance in diagnoses, percutaneous interventions, surgery and other medical fields.

Open Access

This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

Copyright information

© The Author(s) 2008

Authors and Affiliations

  • Rob Krams
    • 1
  • Marcel Breeuwer
    • 2
  • Frans van de Vosse
    • 3
  1. 1.BioengineeringImperial CollegeLondonUK
  2. 2.Healthcare InformaticsPhilips HealthcareBestThe Netherlands
  3. 3.Biomedical EngineeringEindhoven University of TechnologyEindhovenThe Netherlands