An energy-subtraction Compton scatter camera design for in vivo medical imaging of radiopharmaceuticals

1996 ◽  
Vol 43 (6) ◽  
pp. 3256-3263 ◽  
Author(s):  
R.C. Rohe ◽  
J.D. Valentine
Keyword(s):  
Medical Imaging ◽  
Compton Scatter ◽  
Camera Design ◽  
Energy Subtraction

The spatially-variant backprojection point kernel function of an energy-subtraction Compton scatter camera for medical imaging

1997 ◽  
Vol 44 (6) ◽  
pp. 2477-2482 ◽  
Author(s):  
R.C. Rohe ◽  
M.M. Sharfi ◽  
K.A. Kecevar ◽  
J.D. Valentine ◽  
C. Bonnerave
Keyword(s):  
Medical Imaging ◽  
Kernel Function ◽  
Compton Scatter ◽  
Energy Subtraction ◽  
Spatially Variant

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.

scholarly journals Magnetically actuated MEMS microlens scanner for in vivo medical imaging†

2007 ◽  
Vol 15 (18) ◽  
pp. 11154 ◽  
Author(s):  
Chin-Pang-Billy Siu ◽  
Haishan Zeng ◽  
Mu Chiao
Keyword(s):  
Medical Imaging ◽  
Magnetically Actuated

In Vivo Delineation of Facial Fractures: The Application of Advanced Medical Imaging Technology

1986 ◽  
Vol 17 (5) ◽  
pp. 364-376 ◽  
Author(s):  
Jeffrey L. Marsh ◽  
Michael W. Vannier ◽  
Mohktor Gado ◽  
W Grant Stevens
Keyword(s):  
Medical Imaging ◽  
Facial Fractures ◽  
Imaging Technology

scholarly journals Cortical thickness analysis – The methods

2015 ◽  
Vol 2 (1) ◽  
pp. 52-64
Author(s):  
Ann Mari Gransjøen
Keyword(s):  
Cerebral Cortex ◽  
Medical Imaging ◽  
Cortical Thickness ◽  
Complex Analysis ◽  
Basic Principles ◽  
Software Applications

Over the course of the last century, the cerebral cortex has been of interest for neuroscientists, and the work with mapping and measuring the cortex started in the early 1900s (Brodmann 1909).The advances in medical imaging over the recent decades has given the opportunity to measure the cortex in vivo, and several algorithms and types of software applications has been developed for this purpose. These software applications can be used to execute complex analysis to determine both cortex thickness and density.The algorithms and software applications presented in this paper are the ones most utilized to measure cortical thickness today, and include four software applications and two algorithms. The basic principles of these tools will be outlined, as well as their strengths and weaknesses.

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