scholarly journals Augmented patient‐specific functional medical imaging by implicit manifold learning

2020 ◽  
Vol 36 (5) ◽  
Author(s):  
Robert Rapadamnaba ◽  
Franck Nicoud ◽  
Bijan Mohammadi
Keyword(s):  
Medical Imaging ◽  
Manifold Learning ◽  
Patient Specific

Method for Incorporating Three-Dimensional Residual Stresses Into Patient-Specific Simulations of Arteries

2013 ◽  
Author(s):  
David M. Pierce ◽  
Thomas E. Fastl ◽  
Hannah Weisbecker ◽  
Gerhard A. Holzapfel ◽  
Borja Rodriguez-Vila ◽  
...  
Keyword(s):  
Medical Imaging ◽  
Three Dimensional ◽  
Constitutive Models ◽  
Abdominal Aortic Aneurysms ◽  
Aortic Aneurysms ◽  
Patient Specific ◽  
Abdominal Aortic ◽  
Model Geometry ◽  
Reconstructed Model

Through progress in medical imaging, image analysis and finite element (FE) meshing tools it is now possible to extract patient-specific geometries from medical images of, e.g., abdominal aortic aneurysms (AAAs), and thus to study clinically relevant problems via FE simulations. Medical imaging is most often performed in vivo, and hence the reconstructed model geometry in the problem of interest will represent the in vivo state, e.g., the AAA at physiological blood pressure. However, classical continuum mechanics and FE methods assume that constitutive models and the corresponding simulations start from an unloaded, stress-free reference condition.

3D Printed Patient Specific Models from Medical Imaging - A General Workflow

2020 ◽  
Vol 22 ◽  
pp. 1237-1243
Author(s):  
T. Ravi ◽  
Rajesh Ranganathan ◽  
Arivazhagan Pugalendhi ◽  
Sivasankar Arumugam
Keyword(s):  
Medical Imaging ◽  
Patient Specific ◽  
3D Printed

Patient-Specific Computations of Cerebral Aneurysm: Impact of the Uncertainty of the Input Parameters

2013 ◽  
Author(s):  
Mathieu Sanchez ◽  
Vincent Costalat
Keyword(s):  
Decision Making ◽  
Medical Imaging ◽  
Cerebral Aneurysm ◽  
Patient Specific ◽  
Input Parameters

The setting up of patient-specific computations is one of the major challenges to help the clinician in his decision-making. But the input parameters of computations are not well known due to the medical imaging limitations. The goal of this study is to highlight on a cerebral aneurysm case that the uncertainties of the input parameters have an influence on the details of the results but not on the main conclusion: the soft (close to the rupture) aneurysm deforms more than the stiff (undegraded) one.

Low-dose computed tomography: A solution for in vivo medical imaging and accurate patient-specific 3D bone modeling?

2006 ◽  
Vol 21 (9) ◽  
pp. 992-998 ◽  
Author(s):  
Serge Van Sint Jan ◽  
Stéphane Sobzack ◽  
Pierre-Michel Dugailly ◽  
Véronique Feipel ◽  
Philippe Lefèvre ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Medical Imaging ◽  
Low Dose ◽  
Patient Specific ◽  
Bone Modeling ◽  
Low Dose Computed Tomography
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