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Proceedings Paper

Non-rigid registration of multiphoton microscopy images using B-splines
Author(s): Kevin S. Lorenz; Paul Salama; Kenneth W. Dunn; Edward J. Delp
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Paper Abstract

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.

Paper Details

Date Published: 11 March 2011
PDF: 8 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 796221 (11 March 2011); doi: 10.1117/12.878304
Show Author Affiliations
Kevin S. Lorenz, Purdue Univ. (United States)
Paul Salama, Indiana Univ.-Purdue Univ. Indianapolis (United States)
Kenneth W. Dunn, Indiana Univ. (United States)
Edward J. Delp, Purdue Univ. (United States)

Published in SPIE Proceedings Vol. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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