A versatile system for multimodality image fusion.
This paper presents a versatile system for registering and visualizing computed tomography and magnetic resonance images. The system utilizes a semi-automatic, surface-based registration strategy which has proven useful for registering a number of different anatomical structures. A triangular mesh approximates surfaces in one image set while a set of surface points is used as a surface approximation in the other set. A non-linear optimization procedure determines the transformation that minimizes the total sum-squared perpendicular distance between triangles of the mesh and surface points. This system has been used without modification to successfully register images of the brain, spine and calcaneus.
Hemler
P F
PF
Department of Neurosurgery, Stanford University Medical Center, Stanford, CA 94305-5327, USA. hemler@flamingo.stanford.edu
Sumanaweera
T S
TS
van den Elsen
P A
PA
Napel
S
S
Adler
J
J
D001921:Brain / Q000033:anatomy & histology / Q000000981:diagnostic imaging; D002111:Calcaneus / Q000033:anatomy & histology / Q000000981:diagnostic imaging; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D013131:Spine / Q000033:anatomy & histology / Q000000981:diagnostic imaging; D014057:Tomography, X-Ray Computed