Error estimation of geometrical data obtained by histomorphometry of oblique vessel sections: a computer model study

The errors of radius and wall thickness of a single vessel due to oblique sectioning in histomorphometry are expressed as a function of the circular shape factor (CSF) of the section's lumen, assuming cylindrical geometry and the absence of tissue deformation. Using computer model trees generated by constrained constructive optimization, mean errors are estimated for an ensemble of vessel segments. A geometrical exclusion criterion for segments cut too obliquely is defined on the basis of a CSF-cutoff value. It is shown that CSF-values ranging from 0.95 to 0.9 are reasonable choices for a cutoff and lead to mean errors of the same order of magnitude (9.6% [9.3%] to 15.4% [14.8%] for the radius [wall thickness]) as errors due to histological tissue processing.

[1]  W Schreiner,et al.  The branching angles in computer-generated optimized models of arterial trees , 1994, The Journal of general physiology.

[2]  T Togawa,et al.  Optimal branching structure of the vascular tree. , 1972, The Bulletin of mathematical biophysics.

[3]  J G Hicks,et al.  Spatial orientation of arterial sections determined from aligned vascular smooth muscle , 1989, Journal of microscopy.

[4]  P. Sapin,et al.  Assessment of left ventricular diastolic function after single lung transplantation in patients with severe pulmonary hypertension. , 1998, Chest.

[5]  Irene A. Stegun,et al.  Handbook of Mathematical Functions. , 1966 .

[6]  W. Schreiner,et al.  Computer-optimization of vascular trees , 1993, IEEE Transactions on Biomedical Engineering.

[7]  J Hausleiter,et al.  Effects of &bgr;–-Emitting 188Re Balloon in Stented Porcine Coronary Arteries: An Angiographic, Intravascular Ultrasound, and Histomorphometric Study , 2000, Circulation.

[8]  W Schreiner,et al.  A three-dimensional model for arterial tree representation, generated by constrained constructive optimization , 1999, Comput. Biol. Medicine.

[9]  Milton Abramowitz,et al.  Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables , 1964 .

[10]  Wolfgang Schreiner,et al.  Visualization of computer-generated arterial , 1996 .

[11]  M. Kalos,et al.  Monte Carlo methods , 1986 .

[12]  V. Fuster,et al.  High resolution ex vivo magnetic resonance imaging of in situ coronary and aortic atherosclerotic plaque in a porcine model. , 2000, Atherosclerosis.

[13]  M Zamir,et al.  Optimality principles in arterial branching. , 1976, Journal of theoretical biology.

[14]  M Zamir,et al.  The role of shear forces in arterial branching , 1976, The Journal of general physiology.

[15]  R. Rosen Optimality Principles in Biology , 1967, Springer US.

[16]  C. Acar,et al.  Noninvasive measurement of medium-sized artery intima-media thickness in humans: in vitro validation. , 1994, Journal of vascular research.

[17]  V Falk,et al.  Morphometric study of the right gastroepiploic and inferior epigastric arteries. , 1997, The Annals of thoracic surgery.

[18]  Martin Neumann,et al.  Staged Growth of Optimized Arterial Model Trees , 2000, Annals of Biomedical Engineering.

[19]  P B Dobrin,et al.  Effect of histologic preparation on the cross-sectional area of arterial rings. , 1996, The Journal of surgical research.

[20]  J R Nyengaard,et al.  Tissue shrinkage and unbiased stereological estimation of particle number and size * , 2001, Journal of microscopy.

[21]  R. Vanninen,et al.  Stent placement versus percutaneous transluminal angioplasty of human carotid arteries in cadavers in situ: distal embolization and findings at intravascular US, MR imaging and histopathologic analysis. , 1999, Radiology.

[22]  G. Pasterkamp,et al.  The relation between de novo atherosclerosis remodeling and angioplasty-induced remodeling in an atherosclerotic Yucatan micropig model. , 1998, Arteriosclerosis, thrombosis, and vascular biology.

[23]  C. D. Murray THE PHYSIOLOGICAL PRINCIPLE OF MINIMUM WORK , 1931, The Journal of general physiology.

[24]  Frank Litvack,et al.  Effects of β–-Emitting 188Re Balloon in Stented Porcine Coronary Arteries , 2000 .

[25]  T F Sherman,et al.  On connecting large vessels to small. The meaning of Murray's law , 1981, The Journal of general physiology.

[26]  S. Vatner,et al.  Coronary vascular morphology in pressure-overload left ventricular hypertrophy. , 1996, Journal of molecular and cellular cardiology.

[27]  Martin Neumann,et al.  Limited Bifurcation Asymmetry in Coronary Arterial Tree Models Generated by Constrained Constructive Optimization , 1997, The Journal of general physiology.

[28]  S Aharinejad,et al.  The influence of optimization target selection on the structure of arterial tree models generated by constrained constructive optimization , 1995, The Journal of general physiology.

[29]  W Schreiner,et al.  Shear stress distribution in arterial tree models, generated by constrained constructive optimization. , 1999, Journal of theoretical biology.

[30]  C. D. Murray THE PHYSIOLOGICAL PRINCIPLE OF MINIMUM WORK APPLIED TO THE ANGLE OF BRANCHING OF ARTERIES , 1926, The Journal of general physiology.

[31]  Carlos Alberto Brebbia,et al.  Simulation modelling in bioengineering , 1996 .

[32]  R. Karch,et al.  Fractal Properties of Perfusion Heterogeneity in Optimized Arterial Trees , 2003, The Journal of general physiology.

[33]  Steven E. Nissen,et al.  Intravascular Ultrasound Assessment of Lumen Size and Wall Morphology in Normal Subjects and Patients With Coronary Artery Disease , 1991, Circulation.

[34]  F. Neumann,et al.  Outer Radius-Wall Thickness Ratio, a Postmortem Quantitative Histology in Human Coronary Arteries , 1998, Cells Tissues Organs.

[35]  C D Murray,et al.  The Physiological Principle of Minimum Work: I. The Vascular System and the Cost of Blood Volume. , 1926, Proceedings of the National Academy of Sciences of the United States of America.