Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH): Phase I: Segmentation
暂无分享,去创建一个
Thomas Wagner | Yi Qian | David A Steinman | Vitor M Pereira | Matthew Howard | Christof Karmonik | Philipp Berg | Samuel Voß | Gábor Janiga | Oliver Beuing | Sylvia Saalfeld | Alexander Brawanski | Hui Meng | Georg Hille | Leonid Goubergrits | Hiroyuki Takao | Andreas Spuler | Muhammad Owais Khan | Nikhil Paliwal | Hamidreza Rajabzadeh-Oghaz | György Paál | Dan Dragomir-Daescu | Masaaki Shojima | Kristian Valen-Sendstad | Aslak W Bergersen | Jan Bruening | Salvatore Cito | Senol Piskin | Hernán G Morales | Alison L Marsden | Kuniyasu Niizuma | Shin-Ichiro Sugiyama | Soichiro Fujimura | Aslak W. Bergersen | Simona Hodis | Tin Lok Chiu | Anderson Chun On Tsang | Ender A Finol | Nicole M Cancelliere | Kerstin Kellermann | Bong Jae Chung | Juan R Cebral | Gabriele Copelli | Jordi Pallarès | Benjamin Csippa | Saba Elias | Mariya Pravdivtseva | Santhosh Seshadhri | Sergey Sindeev | Sergey Frolov | Yu-An Wu | Kent D Carlson | A. Marsden | G. Janiga | V. Pereira | L. Goubergrits | A. Spuler | C. Karmonik | D. Steinman | K. Carlson | E. Finol | H. Meng | J. Cebral | D. Dragomir-Daescu | M. O. Khan | A. Brawanski | J. Pallarés | S. Frolov | Y. Qian | P. Berg | S. Cito | S. Hodis | K. Valen-Sendstad | Gabriele Copelli | M. Shojima | T. L. Chiu | S. Saalfeld | S. Voss | O. Beuing | H. Morales | N. Paliwal | K. Niizuma | J. Bruening | Saba N. Elias | G. Paál | S. Sugiyama | B. Chung | S. Piskin | A. Tsang | H. Rajabzadeh-Oghaz | H. Takao | S. Fujimura | Georg Hille | S. Sindeev | N. Cancelliere | M. Pravdivtseva | S. Seshadhri | B. Csippa | Kerstin Kellermann | M. Howard | T. Wagner | Yu-An Wu | S. Voß | Shin-ichiro Sugiyama | Hamidreza Rajabzadeh-Oghaz | Kuniyasu Niizuma
[1] Alejandro F. Frangi,et al. Reproducibility of image-based computational hemodynamics in intracranial aneurysms: Comparison of CTA AND 3DRA , 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[2] 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.
[3] Guillaume Houzeaux,et al. Analysis of hemodynamics and wall mechanics at sites of cerebral aneurysm rupture , 2014, Journal of NeuroInterventional Surgery.
[4] D. Kallmes,et al. Counterpoint: Realizing the Clinical Utility of Computational Fluid Dynamics—Closing the Gap , 2012 .
[5] H Meng,et al. CFD: Computational Fluid Dynamics or Confounding Factor Dissemination? The Role of Hemodynamics in Intracranial Aneurysm Rupture Risk Assessment , 2014, American Journal of Neuroradiology.
[6] J. Xiang,et al. High WSS or Low WSS? Complex Interactions of Hemodynamics with Intracranial Aneurysm Initiation, Growth, and Rupture: Toward a Unifying Hypothesis , 2014, American Journal of Neuroradiology.
[7] G. Janiga,et al. Cerebral blood flow in a healthy Circle of Willis and two intracranial aneurysms: computational fluid dynamics versus four-dimensional phase-contrast magnetic resonance imaging. , 2014, Journal of biomechanical engineering.
[8] Philipp Berg,et al. Role of terminal and anastomotic circulation in the patency of arteries jailed by flow-diverting stents: from hemodynamic changes to ostia surface modifications. , 2017, Journal of neurosurgery.
[9] Philipp Berg,et al. Endothelialization of over- and undersized flow-diverter stents at covered vessel side branches: An in vivo and in silico study. , 2016, Journal of biomechanics.
[10] Paul J. Besl,et al. A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[11] Christian Rössl,et al. Realistic virtual intracranial stenting and computational fluid dynamics for treatment analysis. , 2013, Journal of biomechanics.
[12] Philipp Berg,et al. Role of terminal and anastomotic circulation in the patency of arteries jailed by flow-diverting stents: animal flow model evaluation and preliminary results. , 2016, Journal of neurosurgery.
[13] Fernando Mut,et al. Analysis of flow changes in side branches jailed by flow diverters in rabbit models , 2014, International journal for numerical methods in biomedical engineering.
[14] Hao Liu,et al. Sensitivity of flow patterns in aneurysms on the anterior communicating artery to anatomic variations of the cerebral arterial network. , 2016, Journal of biomechanics.
[15] Alexandra Lauric,et al. Critical role of angiographic acquisition modality and reconstruction on morphometric and haemodynamic analysis of intracranial aneurysms , 2018, Journal of NeuroInterventional Surgery.
[16] M. Ohta,et al. Accuracy and Reproducibility of Patient-Specific Hemodynamic Models of Stented Intracranial Aneurysms: Report on the Virtual Intracranial Stenting Challenge 2011 , 2014, Annals of Biomedical Engineering.
[17] D. Steinman,et al. Mind the Gap: Impact of Computational Fluid Dynamics Solution Strategy on Prediction of Intracranial Aneurysm Hemodynamics and Rupture Status Indicators , 2014, American Journal of Neuroradiology.
[18] Guo-Zhong Chen,et al. Reproducibility of image-based computational models of intracranial aneurysm: a comparison between 3D rotational angiography, CT angiography and MR angiography , 2016, BioMedical Engineering OnLine.
[19] J. Xiang,et al. Enhanced Aneurysmal Flow Diversion Using a Dynamic Push-Pull Technique: An Experimental and Modeling Study , 2014, American Journal of Neuroradiology.
[20] D F Kallmes,et al. Point: CFD—Computational Fluid Dynamics or Confounding Factor Dissemination , 2012, American Journal of Neuroradiology.
[21] Bernhard Preim,et al. Semiautomatic neck curve reconstruction for intracranial aneurysm rupture risk assessment based on morphological parameters , 2018, International Journal of Computer Assisted Radiology and Surgery.
[22] J. Mocco,et al. MORPHOLOGY PARAMETERS FOR INTRACRANIAL ANEURYSM RUPTURE RISK ASSESSMENT , 2008, Neurosurgery.
[23] J Mocco,et al. Aneurysm Morphology and Prediction of Rupture: An International Study of Unruptured Intracranial Aneurysms Analysis , 2018, Neurosurgery.
[24] Prahlad G. Menon,et al. Variability of computational fluid dynamics solutions for pressure and flow in a giant aneurysm: the ASME 2012 Summer Bioengineering Conference CFD Challenge. , 2013, Journal of biomechanical engineering.
[25] D A Steinman,et al. The Computational Fluid Dynamics Rupture Challenge 2013—Phase I: Prediction of Rupture Status in Intracranial Aneurysms , 2015, American Journal of Neuroradiology.
[26] Laurent Spelle,et al. Treatment of Wide-Neck Bifurcation Aneurysm Using "WEB Device Waffle Cone Technique". , 2018, World neurosurgery.
[27] Wiro J Niessen,et al. Intracranial aneurysm segmentation in 3D CT angiography: method and quantitative validation with and without prior noise filtering. , 2011, European journal of radiology.
[28] K. Lovblad,et al. Multi-time-lag PIV analysis of steady and pulsatile flows in a sidewall aneurysm , 2014 .
[29] David A Steinman,et al. Real-World Variability in the Prediction of Intracranial Aneurysm Wall Shear Stress: The 2015 International Aneurysm CFD Challenge , 2018, Cardiovascular engineering and technology.
[30] Ericka Stricklin-Parker,et al. Ann , 2005 .
[31] M. L. Raghavan,et al. Quantified aneurysm shape and rupture risk. , 2005, Journal of neurosurgery.
[32] H H Woo,et al. Regarding “Aneurysm Rupture Following Treatment with Flow-Diverting Stents: Computational Hemodynamics Analysis of Treatment” , 2011, American Journal of Neuroradiology.
[33] Alejandro F Frangi,et al. Reproducibility of haemodynamical simulations in a subject-specific stented aneurysm model--a report on the Virtual Intracranial Stenting Challenge 2007. , 2008, Journal of biomechanics.
[34] D. Steinman. Computational Modeling and Flow Diverters: A Teaching Moment , 2011, American Journal of Neuroradiology.
[35] Øyvind Evju,et al. Prerupture Intracranial Aneurysm Morphology in Predicting Risk of Rupture: A Matched Case-Control Study , 2019, Neurosurgery.
[36] Pierre Bouillot,et al. Hemodynamic transition driven by stent porosity in sidewall aneurysms. , 2015, Journal of biomechanics.
[37] Guy Courbebaisse,et al. Multilevel segmentation of intracranial aneurysms in CT angiography images. , 2016, Medical physics.
[38] C Chnafa,et al. Improved reduced-order modelling of cerebrovascular flow distribution by accounting for arterial bifurcation pressure drops. , 2017, Journal of biomechanics.
[39] David A Steinman,et al. The Computational Fluid Dynamics Rupture Challenge 2013--Phase II: Variability of Hemodynamic Simulations in Two Intracranial Aneurysms. , 2015, Journal of biomechanical engineering.
[40] C. Putman,et al. Aneurysm Rupture Following Treatment with Flow-Diverting Stents: Computational Hemodynamics Analysis of Treatment , 2010, American Journal of Neuroradiology.
[41] C Chnafa,et al. Better Than Nothing: A Rational Approach for Minimizing the Impact of Outflow Strategy on Cerebrovascular Simulations , 2017, American Journal of Neuroradiology.
[42] S Saalfeld,et al. Does the DSA reconstruction kernel affect hemodynamic predictions in intracranial aneurysms? An analysis of geometry and blood flow variations , 2017, Journal of NeuroInterventional Surgery.
[43] J. Mocco,et al. Hemodynamic–Morphologic Discriminants for Intracranial Aneurysm Rupture , 2011, Stroke.
[44] Philipp Berg,et al. An automatic CFD-based flow diverter optimization principle for patient-specific intracranial aneurysms. , 2015, Journal of biomechanics.
[45] Gérard G. Medioni,et al. Object modelling by registration of multiple range images , 1992, Image Vis. Comput..
[46] Bongjae Chung,et al. CFD for Evaluation and Treatment Planning of Aneurysms: Review of Proposed Clinical Uses and Their Challenges , 2014, Annals of Biomedical Engineering.
[47] C. Putman,et al. Quantitative Characterization of the Hemodynamic Environment in Ruptured and Unruptured Brain Aneurysms , 2010, American Journal of Neuroradiology.
[48] Jianping Gong,et al. Anterior Communicating Artery Aneurysm Morphology and the Risk of Rupture. , 2018, World neurosurgery.
[49] Bernhard Preim,et al. Rupture Status Classification of Intracranial Aneurysms Using Morphological Parameters , 2018, 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS).
[50] David A. Steinman,et al. An image-based modeling framework for patient-specific computational hemodynamics , 2008, Medical & Biological Engineering & Computing.
[51] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.