Non-rigid registration of multiphoton microscopy images using B-splines
Autor: | Kenneth W. Dunn, Paul Salama, Kevin S. Lorenz, Edward J. Delp |
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Rok vydání: | 2011 |
Předmět: |
Similarity (geometry)
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Process (computing) Image registration Grid Visualization Motion artifacts Computer Science::Computer Vision and Pattern Recognition Motion estimation Computer vision Artificial intelligence business Block (data storage) |
Zdroj: | Medical Imaging: Image Processing |
ISSN: | 0277-786X |
DOI: | 10.1117/12.878304 |
Popis: | Optical microscopy poses many challenges for digital image analysis. One particular challenge includes correction of image artifacts due to respiratory motion from specimens imaged in vivo. We describe a non-rigid registration method using B-splines to correct these motion artifacts. Current attempts at non-rigid medical image registration have typically involved only a single pair of images. Extending these techniques to an entire series of images, possibly comprising hundreds of images, is presented in this paper. Our method involves creating a uniform grid of control points across each image in a stack. Each control point is manipulated by optimizing a cost function consisting of two parts: a term to determine image similarity, and a term to evaluate deformation grid smoothness. This process is repeated for all images in the stack. Analysis is evaluated using block motion estimation and other visualization techniques. |
Databáze: | OpenAIRE |
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