3D Imaging of vascular networks for biophysical modeling of perfusion distribution within the heart.

Abstract:

:One of the main determinants of perfusion distribution within an organ is the structure of its vascular network. Past studies were based on angiography or corrosion casting and lacked quantitative three dimensional, 3D, representation. Based on branching rules and other properties derived from such imaging, 3D vascular tree models were generated which were rather useful for generating and testing hypotheses on perfusion distribution in organs. Progress in advanced computational models for prediction of perfusion distribution has raised the need for more realistic representations of vascular trees with higher resolution. This paper presents an overview of the different methods developed over time for imaging and modeling the structure of vascular networks and perfusion distribution, with a focus on the heart. The strengths and limitations of these different techniques are discussed. Episcopic fluorescent imaging using a cryomicrotome is presently being developed in different laboratories. This technique is discussed in more detail, since it provides high-resolution 3D structural information that is important for the development and validation of biophysical models but also for studying the adaptations of vascular networks to diseases. An added advantage of this method being is the ability to measure local tissue perfusion. Clinically, indices for patient-specific coronary stenosis evaluation derived from vascular networks have been proposed and high-resolution noninvasive methods for perfusion distribution are in development. All these techniques depend on a proper representation of the relevant vascular network structures.

journal_name

J Biomech

journal_title

Journal of biomechanics

authors

van den Wijngaard JP,Schwarz JC,van Horssen P,van Lier MG,Dobbe JG,Spaan JA,Siebes M

doi

10.1016/j.jbiomech.2012.11.027

subject

Has Abstract

pub_date

2013-01-18 00:00:00

pages

229-39

issue

2

eissn

0021-9290

issn

1873-2380

pii

S0021-9290(12)00679-3

journal_volume

46

pub_type

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