Reconstruction of medical images under different image acquisition angles.
Compared to object-based registration, feature-based registration is much less complex. However, in order for feature-based registration to work, the two image stacks under consideration must have the same acquisition tilt angle and the same anatomical location - two requirements that are not always fulfilled. In this paper, we propose a technique that reconstructs two sets of medical images acquired with different acquisition angles and anatomical cross sections into one set of images of identical scanning orientation and positions. The space correlation information among the two image stacks is first extracted and is used to correct the tilt angle and anatomical position differences in the image stacks. Satisfactory reconstruction results were presented to prove our points.
Chung
Pau-Choo
PC
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan.
Chang
Chuan-Yu
CY
Chu
Woei-Chyn
WC
Lin
Hsiu-Chen
HC