Probing the Depth of the Myocardium: Vasculature, Transit Time, and Perfusion Within the Left Ventricular Wall.


Journal

Annals of biomedical engineering
ISSN: 1573-9686
Titre abrégé: Ann Biomed Eng
Pays: United States
ID NLM: 0361512

Informations de publication

Date de publication:
May 2019
Historique:
received: 31 08 2018
accepted: 17 01 2019
pubmed: 9 2 2019
medline: 25 7 2019
entrez: 9 2 2019
Statut: ppublish

Résumé

The branching architecture of arterial trees traversing the thickness of the left ventricular wall is studied to determine the way in which adequate blood supply is provided to myocardial tissue at different depths within the wall thickness from arterial trees originating at the epicardial surface. The study is based on micro-CT images of tissue biopsies, coupled with a dedicated vascular tree analysis program. The results show that this combination of methodologies allows a more detailed and much more accurate exploration of the vasculature within the sampled tissue than is possible by histological means. The spatial density of the smallest resolvable "end" arterioles is found to be higher in the sub-endocardial region than in the sub-epicardial region, with vascular branching architecture consistent with a fractal structure. The concept of "transit time" is introduced as an approximate measure of the time it takes bulk flow to reach different regions of the myocardium. Our data suggest that a transit time differential is a major contributor to the equalization of transmural perfusion gradient against unequal distribution of "end' arteriolar density.

Identifiants

pubmed: 30734145
doi: 10.1007/s10439-019-02208-1
pii: 10.1007/s10439-019-02208-1
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1281-1290

Subventions

Organisme : National Heart, Lung, and Blood Institute
ID : R021 HL-117359

Auteurs

Erik L Ritman (EL)

Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, 200 First Street SW, Rochester, MN, USA. elran@mayo.edu.

A J Vercnocke (AJ)

Department of Radiology, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.

M Zamir (M)

Departments of Applied Mathematics and of Medical Biophysics, The University of Western Ontario, London, ON, Canada.

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Classifications MeSH