Elastic registration in the presence of intensity variations.
We have developed a general-purpose registration algorithm for medical images and volumes. This method models the transformation between images as locally affine but globally smooth. The model also explicitly accounts for local and global variations in image intensities. This approach is built upon a differential multiscale framework, allowing us to capture both large- and small-scale transformations. We show that this approach is highly effective across a broad range of synthetic and clinical medical images.
Periaswamy
Senthil
S
Department of Computer Science, Dartmouth College, Hanover, NH 03755, USA.
Farid
Hany
H
D000465:Algorithms; D016477:Artifacts; D001921:Brain / Q000033:anatomy & histology / Q000000981:diagnostic imaging; D004548:Elasticity; D006257:Head / Q000033:anatomy & histology* / Q000000981:diagnostic imaging*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods; D009038:Motion; D011786:Quality Control; D013382:Subtraction Technique; D014057:Tomography, X-Ray Computed / Q000379:methods