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List of notations

Acronyms
MRIMagnetic resonance imaging
(p)MR(I)(Parallel) magnetic resonance (imaging)
FOVField of view
ROIRegion of interest
S(E)(N)RSignal-to-(error) (noise) ratio
(N)(R)MSE(Normalized) (root-)mean-squared error
SLShepp-Logan
TVTotal variation
EPIEcho planar imaging
ISTAIterative shrinkage/thresholding algorithm
(F)(W)(S)ISTA(fast) (weighted) (subband adaptive) ISTA
CSCompressed sensing
D(W)(C)(F)TDiscrete (wavelet) (cosine) (Fourier) transform
CGConjugate gradient
IRLSIteratively reweighted least squares
MSEMean-squared error
RSRandom shifting
Continuous Domain and Functions
r ∈ℝ2 spatial coordinates (XY plane)
k ∈ℝ2 k-space coordinates (XY plane)
ρ(r) ∈ℝ+ object (proton density) in space
m(k) ∈ℂ observation of the object in k-space
ϕ(r) ∈ℝ generating function
f^(k) ∈ℂ function f in the k-space domain
C ∈ℂMcost function of a vector representing an image
Tτ MMshrinkage operator with thresholds τ
ω ∈ℝ2 Fourier angular frequency
mS(k) ∈ℂ k-space observation from receiving coil S
S(r) ∈ℂ spatial sensitivity of the receiving coil
f^(ω) = d f(x)e−jω·xd x∈ℂ (Fourier transform)
χ R(r) ∈{0,1} characteristic function of a region R
R ⊂ℝd closed contour of a region R
Jn ∈ℝ n-th order Bessel function of the first kind
erf ∈ℂ error function of a complex argument
γ(s,z) ∈ℂℝ×ℂ lower incomplete gamma function
Discrete Data and Linear Algebra
j ∈ℂ imaginary unit such that j2=−1
p ∈ℤ2 discrete spatial coordinates
M ∈ ℕ number of pixels in the ROI
N ∈ ℕ number of k-space samples
R ∈ ℕ number of receiving channels
kn ∈ ℝ2 nth k-space sampling position
mn ∈ ℂ nth k-space observation
m ∈ ℂN measurement vector
b ∈ ℂN noise vector
E0 M(N,M)Fourier encoding matrix (single homogeneous coil)
E M(RN,M)SENSE encoding matrix
M M(RN,M)system matrix (wavelet domain to k-space)
W M(M,M)DWT matrix
c[p] ∈ ℂ reconstructed spatial coefficient
c ∈ ℂM vector of spatial coefficients
w ∈ ℂM vector of wavelet coefficients
XH M(N,M)Hermitian transpose of the matrix XM(M,N)
λmax(X) ∈ ℝ+ largest eigenvalue of a symmetric matrix X
κ(X) ∈[1,+∞[2-condition number of a matrix X
x  ,  y∈ ℂ regular inner product
x·y ∈ ℝ regular inner product
x  ,  yΛ∈ ℂ weighted inner product (xHΛy)
||x ||2 ∈ ℝ+ regular quadratic norm
||x ||Λ ∈ ℝ+ weighted quadratic norm (√xHΛx)
||x ||1 ∈ ℝ+ 1 norm (∑|xi|)
ei ∈ℝd the canonical vectors such that x·ei = xi
δk,l 2↦{0,1} Kronecker’s delta (1 if k=l and 0 otherwise)
Operators on Vectors
a× b ∈ ℝ3 vector product for a,b∈ℝ3
f d↦ℝd gradient operator for f:ℝd↦ℝ
·f d↦ℝ divergence operator for f:ℝd↦ℝd
× f 3↦ℝ3 curl operator for f:ℝf↦ℝ3
Multi-Index Notations
zα = ziαi    ∈ ℝ    for z∈ℝd and α∈ℕd
|α| = ∑αi    ∈ ℕ    for α∈ℕd
p! = pi!    ∈ ℕ    for p∈ℕd
Cpq = ∏Cpiqi = p!/((pq)!q!)    ∈ ℕ    for p,q∈ℕd
p = ab = p1 = a1b1p2 = a2b2⋯∑pd = adbd for p,a,b∈ℕd

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