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Cardiovascular morphometry with high-resolution 3D magnetic resonance: First application to left ventricle diastolic dysfunction.

  • Gallo D PolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi, 24-10129 Turin, Italy.
  • Vardoulis O Bao Research Group, Department of Chemical Engineering, Stanford University, Stanford, CA, USA.
  • Monney P Division of Cardiology and Cardiac MR Center, University Hospital of Lausanne, Lausanne, Switzerland.
  • Piccini D Department of Radiology, University Hospital and University of Lausanne, Lausanne, Switzerland; Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.
  • Antiochos P Division of Cardiology, Department of Internal Medicine, University Hospital of Lausanne, Lausanne, Switzerland.
  • Schwitter J Division of Cardiology and Cardiac MR Center, University Hospital of Lausanne, Lausanne, Switzerland.
  • Stergiopulos N Laboratory of Hemodynamics and Cardiovascular Technology, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
  • Morbiducci U PolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi, 24-10129 Turin, Italy. Electronic address: umberto.morbiducci@polito.it.
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  • 2017-06-25
Published in:
  • Medical engineering & physics. - 2017
Curvature
Geometric risk
Thoracic aorta
Torsion
Vascular geometry
Adult
Aged
Aged, 80 and over
Female
Heart Ventricles
Humans
Image Enhancement
Image Interpretation, Computer-Assisted
Imaging, Three-Dimensional
Magnetic Resonance Imaging
Male
Middle Aged
Pilot Projects
Reproducibility of Results
Sensitivity and Specificity
Ventricular Dysfunction, Left
English In this study, an image-based morphometry toolset quantifying geometric descriptors of the left ventricle, aorta and their coupling is applied to investigate whether morphological information can differentiate between subjects affected by diastolic dysfunction (patient group) and their age-matched controls (control group). The ventriculo-aortic region of 20 total participants (10 per group) were segmented from high-resolution 3D magnetic resonance images, from the left ventricle to the descending aorta. Each geometry was divided into segments in correspondence of anatomical landmarks. The orientation of each segment was estimated by least-squares fitting of the respective centerline segment to a plane. Curvature and torsion of vessels' centerlines were automatically extracted, and aortic arch was characterized in terms of height and width. Tilt angle between subsequent best-fit planes in the left ventricle and ascending aorta regions, curvature and cross-sectional area in the descending aorta resulted significantly different between patient and control groups (P-values< 0.05). Aortic volume (P = 0.04) and aortic arch width (P = 0.03) resulted significantly different between the two groups. The observed morphometric differences underlie differences in hemodynamics, by virtue of the influence of geometry on blood flow patterns. The present exploratory analysis does not determine if aortic geometric changes precede diastolic dysfunction, or vice versa. However, this study (1) underlines differences between healthy and diastolic dysfunction subjects, and (2) provides geometric parameters that might help to determine early aortic geometric alterations and potentially prevent evolution toward advanced diastolic dysfunction.
Language
  • English
Open access status
green
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https://sonar.ch/global/documents/20253
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