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  1. Chapter and Conference Paper

    Deep Learning-Based Pulmonary Artery Surface Mesh Generation

    Properties of the pulmonary artery play an essential role in the diagnosis and treatment planning of diseases such as pulmonary hypertension. Patient-specific simulation of hemodynamics can support the plannin...

    Nina Krüger, Jan Brüning, Leonid Goubergrits in Statistical Atlases and Computational Mode… (2024)

  2. Article

    Open Access

    CT-based comparison of porcine, ovine, and human pulmonary arterial morphometry

    To facilitate pre-clinical animal and in-silico clinical trials for implantable pulmonary artery pressure sensors, understanding the respective species pulmonary arteries (PA) anatomy is important. Thus, morph...

    Leonid Goubergrits, Marie Schafstedde, Nikola Cesarovic in Scientific Reports (2023)

  3. No Access

    Article

    Comparison of rhinomanometric and computational fluid dynamic assessment of nasal resistance with respect to measurement accuracy

    Computational fluid dynamics (CFD)-based calculation of intranasal airflow became an important method in rhinologic research. Current evidence shows weak to moderate correlation as well as a systematic underpr...

    Nora Schmidt, Hans Behrbohm in International Journal of Computer Assisted… (2022)

  4. Chapter and Conference Paper

    Correction to: Cerebral Aneurysm Detection and Analysis

    In the originally published version of the book the title was incorrect. The title has now been corrected from “Cerebral Aneurysm Detection” to “Cerebral Aneurysm Detection and Analysis” and the publication ha...

    Anja Hennemuth, Leonid Goubergrits in Cerebral Aneurysm Detection and Analysis (2021)

  5. No Access

    Chapter and Conference Paper

    Intracranial Aneurysm Rupture Prediction with Computational Fluid Dynamics Point Clouds

    Intracranial aneurysms frequently cause subarachnoid hemorrhage—a life-threatening condition with a high mortality and morbidity rate. State-of-the-art methods of the rupture risk prediction combine demographi...

    Matthias Ivantsits, Leonid Goubergrits in Cerebral Aneurysm Detection and Analysis (2021)

  6. No Access

    Chapter and Conference Paper

    CADA: Clinical Background and Motivation

    Imaging of cerebral aneurysms using DSA, MRI or CTA plays a key role in diagnosis, decision for treatment or observation, treatment planning either as microsurgical clip** or as endovascular intervention inc...

    Andreas Spuler, Leonid Goubergrits in Cerebral Aneurysm Detection and Analysis (2021)

  7. No Access

    Chapter and Conference Paper

    Cerebral Aneurysm Detection and Analysis Challenge 2020 (CADA)

    Rupture of an intracranial aneurysm often results in subarachnoid hemorrhage, a life-threatening condition with high mortality and morbidity. The Cerebral Aneurysm Detection and Analysis (CADA) competition was...

    Matthias Ivantsits, Leonid Goubergrits in Cerebral Aneurysm Detection and Analysis (2021)

  8. No Access

    Book and Conference Proceedings

    Cerebral Aneurysm Detection and Analysis

    First Challenge, CADA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings

    Anja Hennemuth, Leonid Goubergrits in Lecture Notes in Computer Science (2021)

  9. Article

    Open Access

    Assessment of hemodynamic responses to exercise in aortic coarctation using MRI-ergometry in combination with computational fluid dynamics

    In patients with aortic coarctation it would be desirable to assess pressure gradients as well as information about blood flow profiles at rest and during exercise. We aimed to assess the hemodynamic responses...

    Charlotte Schubert, Jan Brüning, Leonid Goubergrits, Anja Hennemuth in Scientific Reports (2020)

  10. Article

    Open Access

    Characterization of the Airflow within an Average Geometry of the Healthy Human Nasal Cavity

    This study’s objective was the generation of a standardized geometry of the healthy nasal cavity. An average geometry of the healthy nasal cavity was generated using a statistical shape model based on 25 sympt...

    Jan Brüning, Thomas Hildebrandt, Werner Heppt, Nora Schmidt in Scientific Reports (2020)

  11. No Access

    Chapter and Conference Paper

    Unsupervised Learning and Statistical Shape Modeling of the Morphometry and Hemodynamics of Coarctation of the Aorta

    Image-based patient-specific modeling of blood flow is a current state of the art approach in cardiovascular research proposed to support diagnosis and treatment decision. However, the approach is time-consuming,...

    Bente Thamsen, Pavlo Yevtushenko in Medical Image Computing and Computer Assis… (2020)

  12. Article

    Open Access

    Surrogates for myocardial power and power efficiency in patients with aortic valve disease

    We aimed to assess surrogate markers for left ventricular (LV) myocardial power and efficiency in patients with isolated aortic stenosis (AS) and combined stenosis/regurgitation (AS/AR). In AS (n = 59), AS/AR ...

    Chong-Bin Lee, Leonid Goubergrits, Joao Filipe Fernandes in Scientific Reports (2019)

  13. No Access

    Article

    User-dependent variability in mitral valve segmentation and its impact on CFD-computed hemodynamic parameters

    While novel tools for segmentation of the mitral valve are often based on automatic image processing, they mostly require manual interaction by a proficient user. Those segmentations are essential for numerica...

    Katharina Vellguth, Jan Brüning in International Journal of Computer Assisted… (2019)

  14. No Access

    Article

    Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)—phase II: rupture risk assessment

    Assessing the rupture probability of intracranial aneurysms (IAs) remains challenging. Therefore, hemodynamic simulations are increasingly applied toward supporting physicians during treatment planning. Howeve...

    Philipp Berg, Samuel Voß, Gábor Janiga in International Journal of Computer Assisted… (2019)

  15. Article

    Open Access

    Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH): uncertainty quantification of geometric rupture risk parameters

    Geometric parameters have been proposed for prediction of cerebral aneurysm rupture risk. Predicting the rupture risk for incidentally detected unruptured aneurysms could help clinicians in their treatment dec...

    Leonid Goubergrits, Florian Hellmeier, Jan Bruening in BioMedical Engineering OnLine (2019)

  16. Article

    Open Access

    Impact of predictive medicine on therapeutic decision making: a randomized controlled trial in congenital heart disease

    Computational modelling has made significant progress towards clinical application in recent years. In addition to providing detailed diagnostic data, these methods have the potential to simulate patient-speci...

    Huseyin Naci, Maximilian Salcher-Konrad, Alistair Mcguire in npj Digital Medicine (2019)

  17. No Access

    Article

    Virtual downsizing for decision support in mitral valve repair

    Various options are available for the treatment of mitral valve insufficiency, including reconstructive approaches such as annulus correction through ring implants. The correct choice of general therapy and im...

    Mathias Neugebauer, Lennart Tautz in International Journal of Computer Assisted… (2019)

  18. Article

    Open Access

    Real-World Variability in the Prediction of Intracranial Aneurysm Wall Shear Stress: The 2015 International Aneurysm CFD Challenge

    Image-based computational fluid dynamics (CFD) is widely used to predict intracranial aneurysm wall shear stress (WSS), particularly with the goal of improving rupture risk assessment. Nevertheless, concern ha...

    Kristian Valen-Sendstad, Aslak W. Bergersen in Cardiovascular Engineering and Technology (2018)

  19. No Access

    Article

    Uncertainty Quantification for Non-invasive Assessment of Pressure Drop Across a Coarctation of the Aorta Using CFD

    Numerical assessment of the pressure drop across an aortic coarctation using CFD is a promising approach to replace invasive catheter-based measurements. The aim of this study was to investigate and quantify t...

    Jan Brüning, Florian Hellmeier in Cardiovascular Engineering and Technology (2018)

  20. No Access

    Article

    Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH): Phase I: Segmentation

    Advanced morphology analysis and image-based hemodynamic simulations are increasingly used to assess the rupture risk of intracranial aneurysms (IAs). However, the accuracy of those results strongly depends on...

    Philipp Berg, Samuel Voß, Sylvia Saalfeld in Cardiovascular Engineering and Technology (2018)

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