Mitchel Jonathan Colebank

Works (13)

Updated: April 25th, 2025 19:43

2024 article

Guidelines for mechanistic modeling and analysis in cardiovascular research

Colebank, M. J., Oomen, P. A., Witzenburg, C. M., Grosberg, A., Beard, D. A., Husmeier, D., … Chesler, N. C. (2024, June 21). American Journal of Physiology-Heart and Circulatory Physiology.

By: M. Colebank* , P. Oomen *, C. Witzenburg *, A. Grosberg *, D. Beard *, D. Husmeier *, M. Olufsen n, N. Chesler *

author keywords: computational modeling; mathematical model; model calibration; quantitative biology; simulation
MeSH headings : Humans; Models, Cardiovascular; Computer Simulation; Biomedical Research / standards; Animals; Cardiovascular Physiological Phenomena; Cardiovascular Diseases / physiopathology; Consensus
topics (OpenAlex): Cardiovascular Function and Risk Factors; Elasticity and Material Modeling; Cardiac electrophysiology and arrhythmias
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Source: Web Of Science
Added: August 26, 2024

2022 article

A computational study of aortic reconstruction in single ventricle patients

Taylor-LaPole, A. M., Colebank, M. J., Weigand, J. D., Olufsen, M. S., & Puelz, C. (2022, November 5). Biomechanics and Modeling in Mechanobiology, Vol. 11.

By: A. Taylor-LaPole n, M. Colebank* , J. Weigand *, M. Olufsen n & C. Puelz*

author keywords: Hypoplastic left heart syndrome; Fontan circulation; Double outlet right ventricle; Perfusion; Fluid mechanics; Simulation; Systemic circulation
MeSH headings : Humans; Adult; Fontan Procedure / methods; Hemodynamics; Magnetic Resonance Imaging; Hypoplastic Left Heart Syndrome; Aorta
topics (OpenAlex): Congenital Heart Disease Studies; Aortic Disease and Treatment Approaches; Cardiovascular Function and Risk Factors
TL;DR: This study combines the MRA, 4D-MRI, and pressure data with 1D fluid dynamics models to predict hemodynamics in the major systemic arteries, including the cerebral and gut vasculature, to study hypoplastic left heart syndrome patients. (via Semantic Scholar)
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Sources: ORCID, Web Of Science, NC State University Libraries
Added: November 6, 2022

2022 article

An in-silico analysis of experimental designs to study right ventricular function and pulmonary hypertension

Colebank, M. J., & Chesler, N. C. (2022, March 25). BioRxiv (Cold Spring Harbor Laboratory), Vol. 3.

By: M. Colebank*  & N. Chesler *

topics (OpenAlex): Cardiovascular Function and Risk Factors; Pulmonary Hypertension Research and Treatments
TL;DR: An identifiability analysis of a multiscale cardiovascular model including sarcomere dynamics, biventricular interactions, and vascular hemodynamics is considered, and whether parameters could be inferred accurately given limited cardiac data is assessed. (via Semantic Scholar)
Source: ORCID
Added: March 30, 2022

2022 article

An in-silico analysis of experimental designs to study ventricular function: A focus on the right ventricle

Colebank, M. J., & Chesler, N. C. (2022, September 20). (A. L. Marsden, Ed.). PLoS Computational Biology.

By: M. Colebank*  & N. Chesler *

Ed(s): A. Marsden

MeSH headings : Heart Ventricles; Humans; Hypertension, Pulmonary; Likelihood Functions; Research Design; Ventricular Dysfunction, Right; Ventricular Function
topics (OpenAlex): Cardiovascular Function and Risk Factors; Pulmonary Hypertension Research and Treatments
TL;DR: A practical identifiability analysis of a multiscale cardiovascular model across four simulated experimental designs shows that model calibration to only RV pressure suffers from practical identIfiability issues and suffers from large forecast uncertainty in output space, but is substantially reduced once additional left ventricular pressure and volume data is included. (via Semantic Scholar)
Source: ORCID
Added: September 21, 2022

2022 article

Numerical predictions of shear stress and cyclic stretch in pulmonary hypertension due to left heart failure

Bartolo, M. A., Qureshi, M. U., Colebank, M. J., Chesler, N. C., & Olufsen, M. S. (2022, January 17). Biomechanics and Modeling in Mechanobiology, Vol. 1.

By: M. Bartolo n, M. Qureshi n, M. Colebank* , N. Chesler * & M. Olufsen n

author keywords: Pulmonary hypertension; Micro-circulation; Wall shear stress; Cyclic stretch; Left heart disease; Computational modeling; Pulse wave propagation
MeSH headings : Blood Pressure; Heart Failure / complications; Hemodynamics; Humans; Hypertension, Pulmonary; Pulmonary Artery
topics (OpenAlex): Pulmonary Hypertension Research and Treatments; Cardiovascular Function and Risk Factors; Cardiac Valve Diseases and Treatments
TL;DR: Using a computational fluid dynamics model of the human pulmonary arteries, arterioles, venules, and veins, this model predicts pressure, flow, shear stress, and cyclic stretch that providing a way to analyze and investigate hypotheses related to disease progression in the pulmonary circulation. (via Semantic Scholar)
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Sources: ORCID, Web Of Science, NC State University Libraries
Added: January 17, 2022

2021 article

A multiscale model of vascular function in chronic thromboembolic pulmonary hypertension

Colebank, M. J., Qureshi, M. U., Rajagopal, S., Krasuski, R. A., & Olufsen, M. S. (2021, February 12). ArXiv (Cornell University), Vol. 6.

By: M. Colebank n , M. Qureshi n, S. Rajagopal *, R. Krasuski * & M. Olufsen n

author keywords: hemodynamics; mathematical modeling; pulmonary circulation; pulmonary hypertension; wave propagation
MeSH headings : Angioplasty, Balloon; Chronic Disease; Hemodynamics; Humans; Hypertension, Pulmonary / diagnostic imaging; Hypertension, Pulmonary / etiology; Hypertension, Pulmonary / physiopathology; Hypertension, Pulmonary / therapy; Models, Cardiovascular; Models, Theoretical; Pulmonary Artery / diagnostic imaging; Pulmonary Artery / physiopathology; Pulmonary Embolism / complications; Pulmonary Embolism / diagnostic imaging; Pulmonary Embolism / physiopathology; Pulmonary Embolism / therapy
topics (OpenAlex): Pulmonary Hypertension Research and Treatments; Cardiovascular Disease and Adiposity; Hemodynamic Monitoring and Therapy
TL;DR: A multiscale, image-to-hemodynamics pipeline for BPA therapy planning for inoperable CTEPH patients is provided, providing an integrative, holistic tool for identifying optimal target lesions for treatment. (via Semantic Scholar)
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Sources: ORCID, Web Of Science, NC State University Libraries
Added: July 28, 2021

2020 article

Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulation

Paun, L. M., Colebank, M. J., Olufsen, M. S., Hill, N. A., & Husmeier, D. (2020, December 1). Journal of The Royal Society Interface, Vol. 17, p. 20200886.

By: L. Paun *, M. Colebank n , M. Olufsen  n, N. Hill * & D. Husmeier *

author keywords: uncertainty quantification; model mismatch; model selection; MCMC; Gaussian processes; pulmonary circulation
MeSH headings : Animals; Bayes Theorem; Mice; Nonlinear Dynamics; Pulmonary Circulation; Uncertainty; X-Ray Microtomography
topics (OpenAlex): Gaussian Processes and Bayesian Inference; Probabilistic and Robust Engineering Design; Control Systems and Identification
TL;DR: Bayesian inference is used to quantify the uncertainty of model parameters and haemodynamic predictions in a one-dimensional pulmonary circulation model based on an integration of mouse haemodynamics and micro-computed tomography imaging data and shows that the nonlinear pressure–area relationship with stiffness dependent on the unstressed radius predicts best the data measured in a control mouse. (via Semantic Scholar)
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Source: ORCID
Added: December 23, 2020

2020 article

Structural and hemodynamic properties of murine pulmonary arterial networks under hypoxia-induced pulmonary hypertension

Chambers, M. J., Colebank, M. J., Qureshi, M. U., Clipp, R., & Olufsen, M. S. (2020, July 28). Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine, Vol. 234, pp. 1312–1329.

By: M. Chambers n, M. Colebank n , M. Qureshi n, R. Clipp * & M. Olufsen n

author keywords: Pulmonary hypertension; fractal networks; image segmentation; center line extraction; one-dimensional fluid dynamics; Navier-Stokes equations
MeSH headings : Animals; Hemodynamics; Humans; Hypertension, Pulmonary / diagnostic imaging; Hypoxia; Mice; Models, Cardiovascular; Pulmonary Artery / diagnostic imaging; X-Ray Microtomography
topics (OpenAlex): Pulmonary Hypertension Research and Treatments; Cardiovascular Function and Risk Factors; Cardiovascular Health and Disease Prevention
TL;DR: This study demonstrates how to combine imaging data from microcomputed tomography images with hemodynamic pressure and flow waveforms from control and hypertensive mice to generate subject-specific arterial networks in which one-dimensional fluid dynamics modeling is used to predict blood Pressure and flow. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 31, 2020

2019 article

Influence of image segmentation on one-dimensional fluid dynamics predictions in the mouse pulmonary arteries

Colebank, M. J., Paun, L. M., Qureshi, M. U., Chesler, N., Husmeier, D., Olufsen, M. S., & Fix, L. E. (2019, October 2). Journal of The Royal Society Interface, Vol. 16, p. 20190284.

By: M. Colebank n , L. Paun*, M. Qureshi n, N. Chesler*, D. Husmeier *, M. Olufsen n, L. Fix *

author keywords: haemodynamics; fluid dynamics; pulmonary circulation; uncertainty quantification; image segmentation
MeSH headings : Algorithms; Animals; Computer Simulation; Hemodynamics; Hypertension, Pulmonary / diagnostic imaging; Hypertension, Pulmonary / physiopathology; Male; Mice; Models, Cardiovascular; Pulmonary Artery / diagnostic imaging; Pulmonary Artery / physiopathology; X-Ray Microtomography
topics (OpenAlex): Pulmonary Hypertension Research and Treatments; Cardiovascular Function and Risk Factors; Cardiovascular Disease and Adiposity; Inhalation and Respiratory Drug Delivery; Medical Image Segmentation Techniques
TL;DR: This study quantifies the variability of one-dimensional CFD predictions by propagating the uncertainty of network geometry and connectivity to blood pressure and flow predictions using multiple segmentations of a single, excised mouse lung. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: February 3, 2020

2019 article

Sensitivity analysis and uncertainty quantification of 1‐D models of pulmonary hemodynamics in mice under control and hypertensive conditions

Colebank, M. J., Qureshi, M. U., & Olufsen, M. S. (2019, July 29). International Journal for Numerical Methods in Biomedical Engineering, Vol. 37.

By: M. Colebank n , M. Qureshi n & M. Olufsen n

author keywords: computational fluid dynamics; network models; pulmonary hypertension; sensitivity analysis; uncertainty quantification
MeSH headings : Animals; Bayes Theorem; Hemodynamics; Mice; Pulmonary Artery; Uncertainty; X-Ray Microtomography
topics (OpenAlex): Hemodynamic Monitoring and Therapy; Probabilistic and Robust Engineering Design; Cardiovascular Function and Risk Factors; Pulmonary Hypertension Research and Treatments; Cardiovascular Health and Disease Prevention
TL;DR: Results show that MPA pressure predictions are most sensitive to distal vascular resistance and that parameter influence changes with increasing network complexity, and suggest that PH leads to increased vascular stiffness and decreased peripheral compliance, congruent with clinical observations. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: September 30, 2019

2018 journal article

Hemodynamic assessment of pulmonary hypertension in mice: a model-based analysis of the disease mechanism

Biomechanics and Modeling in Mechanobiology, 18(1), 219–243.

By: M. Qureshi n, M. Colebank n , L. Paun *, L. Ellwein Fix *, N. Chesler *, M. Haider n , N. Hill *, D. Husmeier *, M. Olufsen n

author keywords: Pulmonary hypertension; 1D fluid dynamics model; Linear and nonlinear wall model; Parameter estimation; Statistical model selection; Wave intensity analysis; Impedance analysis
MeSH headings : Animals; Electric Impedance; Hemodynamics; Hypertension, Pulmonary / diagnostic imaging; Hypertension, Pulmonary / physiopathology; Male; Mice, Inbred C57BL; Models, Biological; Nonlinear Dynamics; Pressure; X-Ray Microtomography
topics (OpenAlex): Pulmonary Hypertension Research and Treatments; Cardiovascular Function and Risk Factors; Cardiomyopathy and Myosin Studies
TL;DR: Results show that pulmonary hypertension is associated with stiffer and less compliant proximal and distal vasculature with augmented wave reflections, and that elastic nonlinearities are insignificant in the hypertensive animal. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries, Crossref
Added: February 25, 2019

2018 journal article

MCMC methods for inference in a mathematical model of pulmonary circulation

Statistica Neerlandica, 72(3), 306–338.

By: L. Păun *, M. Qureshi  n, M. Colebank n , N. Hill *, M. Olufsen n, M. Haider n , D. Husmeier *

author keywords: constraint non-linear optimization; delayed rejection adaptive metropolis; pulmonary hypertension; parameter inference; partial differential equations; Windkessel model
topics (OpenAlex): Gaussian Processes and Bayesian Inference; Statistical Methods and Bayesian Inference; Bayesian Methods and Mixture Models
TL;DR: This study uses a fluid dynamics network model that takes selected parameter values and mimics the behaviour of the pulmonary haemodynamics under normal physiological and pathological conditions, and introduces an improved parameter scaling technique in the Delayed Rejection Adaptive Metropolis algorithm. (via Semantic Scholar)
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Sources: ORCID, Crossref, NC State University Libraries
Added: July 1, 2019

2017 journal article

Characteristic impedance: frequency or time domain approach?

Physiological Measurement, 39(1), 014004.

By: M. Qureshi n, M. Colebank n , D. Schreier*, D. Tabima *, M. Haider n , N. Chesler *, M. Olufsen n

author keywords: characteristic impedance; blood pressure and flow; pulse wave analysis; impedance analysis; time domain analysis; Fourier methods; large arteries
MeSH headings : Animals; Blood Pressure; Dogs; Electric Impedance; Heart / physiology; Hemodynamics; Humans; Mice; Pulse Wave Analysis; Signal-To-Noise Ratio; Time Factors
topics (OpenAlex): Cardiovascular Health and Disease Prevention; Hemodynamic Monitoring and Therapy; Heart Rate Variability and Autonomic Control
TL;DR: It is shown that the frequency and time domain estimates of Zc are not equally sensitive to certain characteristics of hemodynamic signals including phase lag between pressure and flow, signal to noise ratio and the end of systole retrograde flow. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries, Crossref
Added: August 6, 2018

Employment

Updated: January 12th, 2026 12:49

2024 - present

University of South Carolina Columbia, South Carolina, US
Assistant Professor Mathematics

2021 - 2024

University of California, Irvine Irvine, California, US
Postdoctoral Researcher Biomedical Engineering

Education

Updated: April 15th, 2021 15:09

2016 - 2021

North Carolina State University Raleigh, NC, US
PhD Biomathematics

Funding History

Funding history based on the linked ORCID record. Updated: March 10th, 2023 12:01

grant January 1, 2019 - December 21, 2020
Quantification of hemodynamic and geometric parameters in pulmonary hypertension
American Heart Association
grant August 15, 2015 - June 30, 2024
Institutional Career Development Core
National Center for Advancing Translational Sciences

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