Algorithm 1: Curvilinear Structure Enhancement

input : Denoised 3-D dataset p̂ of size l × b × h, low-pass filter h, largest wavelet scale M

output: Enhanced 3-D dataset p̂e

for k ← 1 to h do

a0 ← p̂ (:, :, k);

for m ← 1 to M do

for i ← 1 to l do

for j ← 1 to b do

H(i, j, m) ← Det[H(d(i, j, m))];

end

end

end

Hmax ← max(H);

t ← max(Hmax(:));

d ← zeros(l, b, t);

d2 ← zeros(l, b, t);

a ← zeros(l, b, t);

for i ← 1 to t do

ai ← conv(h, a0);

d(:, :, i) ← a0 − ai;

a0 ← ai;

a(:, :, i) ← a0;

end

for i ← 1 to l do

for j ← 1 to b do

d2(i, j, 1 : Hmax(i, j)) ← 1;

end

end

d ← d × d2;

R ← max(d);

p̂e(:, :, k) ← R;

end