|
I(x) |
CT image |
x |
3D coordinates |
k |
Organ index |
Ak |
Set of shape–location and intensity priors of organ k
|
Pk(x) |
Probabilistic atlas (PA) of organ k
|
sk(b) |
Statistical shape model (SSM) of organ k
|
Hk(I) |
Intensity model (IM) of organ k
|
HOk(I) |
Normalized histogram of organ k
|
HBk(I) |
Normalized histogram of background of organ k
|
b |
Shape parameter vector |
S eg(·) |
Segmentation operation |
s0
|
Surface shape vector (concatenation of 3D coordinates) of target organ |
sk
|
Surface shape vector of predictor organ k
|
s̃i
|
Predictor vectors (set of surface shape vectors of predictor organs) of case i
|
Tp
|
Training datasets of predictor organs for partial least squares regression (PLSR) |
Tt
|
Training datasets of target organ for PLSR |
PLSR(s̃; Tp, Tt) |
PLSR model |
ri
|
Residual of case i after PLSR prediction, which is the difference between predicted and true shapes |