A Registration Method Based on Contour Point Cloud for 3D Whole-Body PET and CT Images

Algorithm 1

Geometric feature-based segmentation (GFS).

Input: Normalization result of CT S and slice id.

Output: The feature image F and the segmented result O.

Steps:

() Sort the external contours extracted from S in descending order according to the area.

  The contour list is represented as .

() Remove the contours with area less than 1000, then

() if

()  if

(5)   if area then size = 1, ECL =   / ECL: effective contour list /

(6)   else

(7)    if area then size = 3, ECL =

(8)    else size = 2, ECL = end if

(9)   end if

(10)  else if id > 210

(11)   if area then size = 2, ECL =

(12)   else size = 1, ECL = end if

(13)  else size = 1, ECL =

(14)  end if

(15) else if

(16)  if then size = 1, ECL =

(17)  else

(18)   if area then size = 1, ECL =

(19)   else size = 2, ECL = end if

(20)  end if

(21) else size = 1, ECL =

(22) end if

(23) F = getFeatureImage (ECL), M = getMaskImage (ECL)

(24) O = M multiply (S)