Design of Robust Vascular Tree Matching: Validation on Liver

2005 ◽  
pp. 443-455 ◽  
Author(s):  
Arnaud Charnoz ◽  
Vincent Agnus ◽  
Grégoire Malandain ◽  
Stéphane Nicolau ◽  
Mohamed Tajine ◽  
...  
Keyword(s):  
Vascular Tree

Placental Vascular Tree as Biomarker of Autism/ASD Risk

2012 ◽  
Author(s):  
Carolyn M. Salafia ◽  
Dawn P. Misra ◽  
Michael Yampolsky ◽  
Theresa Girardi
Keyword(s):  
Vascular Tree

scholarly journals COVID-19-induced vascular angiopathy: CTPA signs in critically ill patients other than acute pulmonary embolism and high-lung opacity scores

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Mohamed Hossameldin khalifa ◽  
Ahmed Samir ◽  
Ayman Ibrahim Baess ◽  
Sara Samy Hendawi
Keyword(s):  
Artificial Intelligence ◽  
Pulmonary Embolism ◽  
Lung Volume ◽  
Acute Pulmonary Embolism ◽  
Pulmonary Angiography ◽  
Vascular Tree ◽  
Ct Pulmonary Angiography ◽  
Artificial Intelligence System ◽  
Intelligence System ◽  
Severity Scores

Abstract Background Vascular angiopathy is suggested to be the major cause of silent hypoxia among COVID-19 patients without severe parenchymal involvement. However, pulmonologists and clinicians in intensive care units become confused when they encounter acute respiratory deterioration with neither severe parenchymal lung involvement nor acute pulmonary embolism. Other radiological vascular signs might solve this confusion. This study investigated other indirect vascular angiopathy signs on CT pulmonary angiography (CTPA) and involved a novel statistical analysis that was performed to determine the significance of associations between these signs and the CT opacity score of the pathological lung volume, which is calculated by an artificial intelligence system. Results The study was conducted retrospectively, during September and October 2020, on 73 patients with critical COVID-19 who were admitted to the ICU with progressive dyspnea and low O2 saturation on room air (PaO2 < 93%). They included 53 males and 20 females (73%:27%), and their age ranged from 18 to 88 years (mean ± SD=53.3 ± 13.5). CT-pulmonary angiography was performed for all patients, and an artificial intelligence system was utilized to quantitatively assess the diseased lung volume. The radiological data were analyzed by three expert consultant radiologists to reach consensus. A low CT opacity score (≤10) was found in 18 patients (24.7%), while a high CT opacity score (>10) was found in 55 patients (75.3%). Pulmonary embolism was found in 24 patients (32.9%); three of them had low CT opacity scores. Four other indirect vasculopathy CTPA signs were identified: (1) pulmonary vascular enlargement (57 patients—78.1%), (2) pulmonary hypertension (14 patients—19.2%), (3) vascular tree-in-bud pattern (10 patients—13.7%), and (4) pulmonary infarction (three patients—4.1%). There were no significant associations between these signs and the CT opacity score (0.3205–0.7551, all >0.05). Furthermore, both pulmonary vascular enlargement and the vascular tree-in-bud sign were found in patients without pulmonary embolism and low CT-severity scores (13/15–86.7% and 2/15–13.3%, respectively). Conclusion Pulmonary vascular enlargement or, less commonly, vascular tree-in-bud pattern are both indirect vascular angiopathy signs on CTPA that can explain the respiratory deterioration which complicates COVID-19 in the absence of severe parenchymal involvement or acute pulmonary embolism.

Review: Circadian clocks and rhythms in the vascular tree

2021 ◽  
Vol 59 ◽  
pp. 52-60
Author(s):  
Qimei Han ◽  
Zsolt Bagi ◽  
Raducu Daniel Rudic
Keyword(s):  
Circadian Clocks ◽  
Vascular Tree

Segmentation of the pulmonary vascular tree

2012 ◽  
Author(s):  
Juan-Carlos Prieto ◽  
Chantal Revol-Muller ◽  
Christophe Odet ◽  
Maciej Orkisz ◽  
Carolina Perez Romanello ◽  
...  
Keyword(s):  
Vascular Tree

scholarly journals Tissue Engineering the Vascular Tree

2017 ◽  
Vol 23 (6) ◽  
pp. 505-514 ◽  
Author(s):  
Mahama A. Traore ◽  
Steven C. George
Keyword(s):  
Tissue Engineering ◽  
Vascular Tree

Quantitative analysis of the three dimensional fetoplacental vascular tree in normal, term placenta

Placenta ◽  
2017 ◽  
Vol 57 ◽  
pp. 239-240 ◽  
Author(s):  
Andrew Melbourne ◽  
Rosalind Pratt ◽  
Ciaran Hutchinson ◽  
Owen Arthurs ◽  
Neil J. Sebire ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Three Dimensional ◽  
Vascular Tree ◽  
Term Placenta ◽  
Normal Term

Intussusceptive arborization contributes to vascular tree formation in the chick chorio-allantoic membrane

2000 ◽  
Vol 202 (5) ◽  
pp. 347-357 ◽  
Author(s):  
V. G. Djonov ◽  
Andrea B. Galli ◽  
Peter H. Burri
Keyword(s):  
Vascular Tree ◽  
Intussusceptive Arborization

Theoretical relationship between the optimal models of the vascular tree

1974 ◽  
Vol 36 (3) ◽  
pp. 311-323 ◽  
Author(s):  
Akira Kamiya ◽  
Tatsuo Togawa ◽  
Atsuko Yamamoto
Keyword(s):  
Vascular Tree ◽  
Theoretical Relationship

scholarly journals Pathology of the Pulmonary Vascular Tree

Circulation ◽  
1954 ◽  
Vol 10 (6) ◽  
pp. 801-808 ◽  
Author(s):  
ROGER C. SMITH ◽  
HOWARD B. BURCHELL ◽  
JESSE E. EDWARDS
Keyword(s):  
Vascular Tree

Challenges in Blood Flow Simulation: Numerical Methods and Image Processing Tools

2013 ◽  
Author(s):  
Andrea Dziubek ◽  
Edmond Rusjan ◽  
Bill Thistleton
Keyword(s):  
Blood Flow ◽  
Numerical Methods ◽  
Flow Simulation ◽  
Ocular Blood Flow ◽  
Curved Surfaces ◽  
Vascular Tree ◽  
Discrete Exterior Calculus ◽  
Exterior Calculus ◽  
Front End ◽  
Segmentation Methods

We report on recent results in modeling ocular blood flow (some parts were presented at ARVO 2013 [1]). For this simulations we used discrete exterior calculus based numerical methods. These methods aim to preserve the main features of the original analytical equations and are very suitable for curved surfaces. We will discuss the model and present the numerical methods. We will also give an overview of existing/available segmentation methods to extract the vascular tree from given retina images and our plans how to use them as a front end to our model.

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