December 2012
Intermediate to advanced
374 pages
10h 16m
English
Content preview from Nonlinear Inverse Problems in ImagingBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Index
Bz image
Bz-based MREIT
J-substitution algorithm
k-space
k-space data
Absolute continuity
Active contour method
Additivity
Admittivity
Algebraic inversion method
Ampère's law
Animal imaging
Anisotropic conductivity reconstruction algorithm
Anisotropic conductivity tensor
Anisotropic diffusion model
Anisotropic elastic moduli reconstruction
Asymptotic analysis
Attenuation coefficient
Back-projection
Back-projection algorithm
Baire category
Banach space
Basis
Beam hardening
Beer–Lambert law
Bichromatic
Bilinear map
Biot–Savart law
Bipolar method
Bloch equation
Block matching
Boundary conditions in EIT
Boundary geometry error
Boundary voltage data
Bregman distance
Calderón's approach
Cantor function
Caratheodory
Cauchy's infinitesimal strain tensor
Chan–Vese model
Characteristic coordinates
Characteristic function
Classical derivative
Compact operator
Complete electrode model
Complex MR image
Complex potential
Compression
Condition number
Conductivity
Conductivity phantom
Conductivity reconstructor using harmonic algorithms (CoReHA)
Conjugate gradient method
Conservation of mass
Consistency
Contact impedance
Continuity
Continuity equation
Contraction mapping
Convergence
Convergence behavior
Convolution
Coulomb's law
Crank–Nicolson method
Crank–Nicolson scheme
Cross-correlation
Curl
Current density
Current density streamline
Current injection MRI
Current injection time
Current source
Curvature
Curve
D-bar algorithm
Damped Jacobi method
Data subtraction method
Defected data in ...
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